We’re looking for a WordPress Developer to join our team at Multilogin.

You’ll help us build, maintain, and optimize our websites — making sure everything runs fast, securely, and smoothly. 

-Create and update pages and sections in WordPress using Elementor.

-Work with plugins like JetEngine and Crocoblock.

-Fix indexing and optimization issues using Google Search Console (Core Web Vitals, SEO improvements).

-Manage staging, deployment, and server environments.

-Handle security and infrastructure tasks, including fixing vulnerabilities and keeping everything up to date.

-Solid experience with WordPress development and customization.

-Confident using Elementor and popular plugins.

-Basic knowledge of PHP, JavaScript, and jQuery for small edits and custom blocks.

-Understanding of technical SEO and WordPress optimization.

-Experience managing WordPress servers (setup, maintenance, deployment).

-Familiarity with security best practices and resolving vulnerabilities.

- English level - at least B2 (written and spoken) 

About the job

You will be joining the payment solution OnPay as part of a newly formed team dedicated to growing our presence across Europe. Online payments are becoming more prevalent every day and our mission is to support our growing merchants by remaining at the forefront of product offerings and reliability. This is where you come in.

We're seeking someone who can help make major contributions to our new frontend growth strategy by ensuring a high quality user experience while working closely with your backend colleagues.

This will include working on a new JavaScript SDK that will impact all team.blue brands as well as merchants across Europe and their millions of transactions.

As a team, we collaborate on the entire software development lifecycle where security and compliance are fundamental to OnPay’s success and require high attention to detail to ensure that the millions of transactions we process every month remain secure and seamless.

Your profile

We are looking for someone that is passionate about online payments and the surrounding software ecosystem. There are many different backgrounds that could be successful in this role, so we encourage you to apply even if you don’t meet all the requirements below.

Requirements: 

• Experience building lightweight, client-side JavaScript/TypeScript applications

• Well versed in object-oriented code, and openness to work with PHP and Symfony

• Interest in user experience best practices

• Great communication skills (our team language is English)

• Structured, proactive, and with an eye for detail

• Knowledgeable about security as it relates to software

• Passionate about technology and staying up to date

• Linux and command line experience

• Version control workflows (we use Git & GitLab)

• Resident of the DK, BE, NL, DE or UK

• Ability to travel to Denmark a few times a year

Nice to have:

• Payment industry experience

• E-commerce experience (WooCommerce, Shopify, Magento, etc)

• Experience working within the PCI-DSS or another audited environment

• Knowledge of Scrum

What we offer

You will be joining a high-impact team where your ideas matter. At OnPay, we combine the agility of a small team with the resources and opportunities of being a part of team.blue. Our flat structure means ideas go from concept to production, with minimal bureaucracy in the way.

We believe great work happens when talented people are given the space to focus. That's why we minimize meetings and protect deep work time, allowing you to craft exceptional solutions for our customers.

Working with us, you will get:

• A safe and flexible working environment

• Professional development opportunities, including courses and certifications

• Collaboration with skilled colleagues in the industry

• A healthy work-life balance

• Possibility to work either remote or from our offices in Europe

How to apply

Any questions about the position can be sent to Software Team Lead, Keenan Linsly, at keenan.linsly@team.blue

If you would like to apply for the position, use the button “Apply for this job” 

We evaluate and interview candidates on an ongoing basis, so please apply as soon as possible if the job sounds like a good match.

Place of work: Fully remote, or one of our offices either partially remote or full-time office

Start: As soon as possible

#LI-CL1

Tangible is a fast-growing, tech-driven platform providing liquidity solutions to LPs and GPs in the private-markets secondaries space. By combining deep sector expertise with modern infrastructure, we unlock liquidity across private equity, private credit, and real assets, transforming the industry and enabling investors to move faster and smarter.

We are looking for a Senior Backend Engineer with strong expertise in Python and modern backend systems to design, build, and optimize scalable, secure, and high-performance applications. The ideal candidate will bring hands-on experience in API development, databases, and cloud infrastructure, combined with a passion for delivering clean, well-tested, and maintainable code.

This role is open globally to full-time contractors who can work standard Central European Time (CET) hours.

• Build and optimize backend systems and APIs with a focus on scalability, reliability, and meeting SLAs.
• Design robust data models in Postgres, ensuring schema quality, query optimization, and data integrity.
• Lead deployment and management of containerized applications in AWS environments.
• Contribute to architectural decision-making and promote best practices in testing, security, and performance.
• Partner with frontend engineers, product managers, and designers to deliver end-to-end solutions.
• Foster the development of junior engineers through guidance, knowledge exchange, and structured onboarding support.
• Own the full backend lifecycle - from initial design to deployment and ongoing monitoring.

• 3+ years of professional experience with Python (experience with Golang is a plus).
• Proven ability to design and maintain RESTful APIs with strong focus on performance and reliability.
• Solid expertise with Postgres or similar relational databases.
• Hands-on knowledge of AWS (ECS, RDS, S3, CloudWatch) and containerization (Docker).
• Strong understanding of scalability, testing, and security best practices in distributed systems.
• Familiarity with modern backend architectures (e.g., microservices, event-driven design).
• Excellent communication skills in English, with the ability to collaborate across functions.
• Experience using AI-assisted development tools (e.g., Cursor AI) to enhance productivity, code quality, and collaboration.
• Thrives in a fast-moving startup environment - flexible, proactive, and self-directed.

If you meet the requirements above you’re excited to shape the future of private markets and work alongside a brilliant team of engineers, ex-bankers, and startup superstars, we’d love to hear from you.

Tangible is transforming the way secondary markets work for LPs, GPs and wealth managers.

We combine technology and deep private markets expertise to bring transparency, efficiency and simplicity to secondary transactions. Our products enable more LPs to sell on the secondary market and empower GPs and wealth managers to create scalable liquidity solutions for their investors.

The Team

You’ll be joining our 30-person engineering organization, a collaborative group of passionate, product-minded builders and will report directly to the VP of Engineering. This team is responsible for evolving and adding powerful new capabilities to our mature, successful SaaS platform. They are the experts at building atop a solid foundation, and they are excited to rally around and support the new AI vision you will bring.

The Role

You will lead the charge in creating the next stage of our product's evolution. Your journey will be a creative one: from exploring cutting-edge techniques to shipping our first-ever intelligent features. You will define the AI roadmap, select the best tools for the job, and set the technical foundation for the future AI/ML team that will follow in the path you create.

The Challenges

• Charting the Course. You are the founder of our AI practice. The primary challenge—and opportunity—is to turn the blank slate of our AI strategy into a clear, strategic roadmap. You will be the one building this new dimension of our product from first principles.

• Building the First Engine. You will build our AI capability from scratch atop a solid foundation. This involves setting the standards, choosing the architecture, and establishing the patterns that will power our intelligent features for years to come.

• Pioneering Integration. The first of anything is always the hardest. You will navigate the unique challenges of integrating brand-new, intelligent systems with a mature platform, ensuring they are not just powerful, but also reliable, scalable, and seamless for our users.

Why This Role Matters

We're excited about this role because we know our customers still face tedious and time-consuming tasks every day. You will be the key person to help us reduce that drudgery and create unique, innovative experiences that enrich their lives. This is an opportunity to have a significant impact on our product, our company, and the lives of our customers.

Outcomes You Will Drive

• Design and deploy our first set of AI-powered features, moving from prototype to production.

• Develop a long-term vision and roadmap for AI within our product, focusing on areas like agentic workflows to automate complex customer tasks.

• Architect and implement robust LLM orchestration systems to create reliable and scalable features.

• Integrate AI/ML models into our existing platform, leveraging techniques like Retrieval-Augmented Generation (RAG) with our proprietary data.

• Establish best practices for the full AI/ML lifecycle, from model evaluation to deployment and monitoring.

What We're Looking For

We're looking for a seasoned, pragmatic, and product-minded engineer who thrives in a collaborative environment. You should be an excellent communicator who can articulate complex technical concepts to all audiences.

• 8+ years of overall software engineering experience, 6+ years of hands-on AI/ML experience

• Proven experience building and shipping AI/ML features in a production environment.

• Hands-on experience with Large Language Models (LLMs) like GPT, Claude, or open-source alternatives.

• Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar tools.

• Experience with vector databases (e.g., Pinecone, Chroma) and embedding techniques.

• Strong programming skills, particularly in Python, and experience working within an established codebase.

• (Bonus) Experience with model fine-tuning and building complex, multi-step AI agents.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Solutions Architect in the United States.

In this role, you will design, develop, and implement AI-driven applications and data pipelines that power advanced healthcare solutions. You will work hands-on across software engineering, system integration, and AI/ML orchestration, collaborating with DevOps and engineering teams to deliver scalable, secure, and high-performance solutions. The role requires analyzing system requirements, building intelligent workflows, and integrating AI models to optimize healthcare operations. You will also guide technical decisions, evaluate tools and frameworks, and ensure adherence to cloud best practices and industry standards. This position offers an opportunity to work in a dynamic, innovative environment where your contributions directly impact the efficiency and effectiveness of healthcare platforms.

Accountabilities:

• Develop, test, and deploy backend, frontend, AI/ML, and data components for healthcare platforms.
• Analyze system requirements and design software solutions for AI/ML integrations and data pipelines.
• Implement and maintain APIs, integration patterns, and cloud-based infrastructure.
• Troubleshoot, optimize, and secure applications to ensure high performance and compliance.
• Collaborate with DevOps and engineering teams on deployment, monitoring, and system maintenance.
• Conduct code reviews, testing, and documentation to support software quality and maintainability.
• Evaluate emerging tools, frameworks, and cloud services to enhance development efficiency.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent combination of education and experience.
• 7+ years of software engineering experience, including 3+ years in systems analysis, software design, or development roles.
• Proficiency in multiple technology stacks such as Python, Node.js, .NET, and modern frontend frameworks.
• Experience with AI model integration, orchestration frameworks (e.g., LangChain, LangGraph), and intelligent workflow design.
• Strong understanding of cloud architectures (AWS, Azure, GCP) and software deployment patterns.
• Knowledge of healthcare interoperability standards (FHIR, HL7) is a plus.
• Demonstrated ability to troubleshoot, optimize, and secure complex software solutions.
• Strong collaboration, communication, and stakeholder management skills, with the ability to lead consensus across teams.
• Excellent analytical and problem-solving skills with the ability to manage competing priorities under tight deadlines.

Benefits

• Competitive salary with performance-based incentives.
• Comprehensive medical, dental, and vision coverage.
• Retirement savings plans and company matching contributions.
• Professional development opportunities, including training and certifications.
• Flexible paid time off and holidays.
• Collaborative, innovative, and inclusive work environment.
• Opportunities to work on cutting-edge AI/ML healthcare solutions impacting real-world outcomes.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

#LI-CL1

About the team

Angi is seeking an exceptional Staff Machine Learning Engineer who can enable our transformation into a world-class online marketplace. The role is in our Data Science and Machine Learning team, tackling challenges such as homeowner-pro matching, search ranking, and using predictive models to optimize our product and consumer experience. This is a technical leadership role where you will apply state-of-the-art machine learning and AI techniques such as LLMs and neural rankers to both structured and unstructured data. In addition to developing models, we’re also looking for someone who can deploy them at large scale with low latencies to serve our customers dynamically.

What you’ll do

• Model Development & Data Strategy: Lead development of machine learning models and algorithms to improve our search ranking and how we match consumers with pros. Success in these areas will impact user experience & engagement, retention, and conversion rates - critical metrics for business success.
• Model Deployment & MLOps: Implement robust MLOps practices to ensure the seamless deployment and scalability of machine learning models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments.
• Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, data scientists, product managers, and designers to build scalable and high-impact machine learning systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services.
• Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems.
• Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced machine learning techniques from both industry and academia.

Who you are

• You have a Master’s or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields).
• You have 7+ years of experience in data science & machine learning, with a focus on real-time ML models, ideally within the tech industry & marketplace environments. 
• You are an expert in machine learning and deep learning, and have a good working knowledge of large language models. 
• You have a proven track record of deploying highly impactful machine learning models into production environments.
• You are proficient in SQL and Python, and have experience with cloud ML solutions.
• You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.

We value diversity

We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.

Compensation & Benefits

• The salary band for this position ranges from $200,000 - $280,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living. 
• This position will be eligible for a competitive year end performance bonus & equity package. 
• Full medical, dental, vision package to fit your needs 
• Flexible vacation policy; work hard and take time when you need it 
• Pet discount plans & retirement plan with company match (401K) 
• The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world 

#LI-Remote
#BI-Remote

This role exists to support the business in utilizing Machine Learning applications to drive additional value for our customers by feeding into the delivery of strategic data science solutions whilst setting up resilient and future-proof ML infrastructure and engineering foundations.

• Designing and developing our ML Operations (MLOps) infrastructure and practices to support the effective transition of machine learning models and PoCs into production in a cost and operationally efficient manner.
• Monitoring, and maintaining the health of new and existing ML models post deployment; Working with business stakeholders to proactively raise awareness of any risks to the model(s) outputs and/or their interpretation, and usability. 
• Implementing modern code development and MLOps strategies, in collaboration with Data Science and Data Engineering to support the proactive identification, targeting and resolution of any ML model(s) performance issues across their entire lifecycle.
• Developing operating procedures, work instructions and high-level designs of ML pipelines and architectures to support the effective documentation of our work.
• Working with third party partners and software providers to improve, implement and/or support the move to production of novel Machine Learning solutions. 
• Raising awareness of best practices for MLOps; collaborating and knowledge sharing with individuals across the data and software teams, and wider business.
• Collaborating with Data Science, Data Engineering and Software Engineering teams to drive cross-function visibility and reduction of technical debt across the teams.
• Designing and implementing ML infrastructure to support the deployment and monitoring of ML models in production in an efficient and cost-effective manner.
• Developing an MLOps strategy aligned to best practice and existing DevOps practices in Gymshark.
• Developing a strong knowledge of all data sources and maintaining relations with data users/processors across the business.

Essential:

• Extensive experience and expertise in Python. 
• Proven experience in modern code development practices and implementation of MLOps strategies in the cloud to drive operational and infrastructure cost efficiencies.
• Hands on experience designing, building, and maintaining ML infrastructure and taking ML models to production.
• Working knowledge of CI/CD practices.
• Strong stakeholder management skills: working collaboratively with Data Science, DevOps, Data and Software Engineering teams.
• Demonstrable experience of critical thinking, communication and problem-solving ability, and stakeholder management.
• Coaching junior engineers to support their technical skills development.
• Able to separate BAU from core objectives.
• Demonstrate delivery under pressure and to deadline. 

Preferred:

• Experience productionising recommender engines and ensemble ML in Google Cloud
• Experience or exposure to managing ML Infrastructure costs and operational reliability in the cloud.
• Willingness to learn new tools and techniques; proactively keeping up to date with latest thinking and practices in the data science space.
• Experience working in an e-commerce/retail market would be beneficial. 
• Embrace change with a positive outlook.  
• Confident to challenge, and receptive to being challenged. 
• The ability to thrive in a fast-paced environment.

Join Our Global Team: We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus

Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

This role is for one of the Weekday's clients

Min Experience: 6 years

Location: Remote (India)

JobType: full-time

As the Machine Learning Operations Manager, you will oversee the end-to-end ML lifecycle — from model training and deployment to monitoring and optimization. You will lead a small, high-performing team of engineers while remaining hands-on in building scalable, reliable, and efficient ML infrastructure. This role combines strategic leadership with deep technical expertise to ensure smooth collaboration between research, engineering, and operations teams.

Requirements

Key Responsibilities:

• End-to-End ML Lifecycle: Manage training infrastructure, experiment tracking, deployment, and continuous optimization.
• Collaboration with Researchers: Partner with research teams to streamline training, evaluation, and fine-tuning workflows.
• Team Leadership: Mentor and guide a small team of ML engineers (3–4) while contributing as an individual contributor.
• Performance Optimization: Improve latency, throughput, and cost efficiency; ensure robust packaging and runtime reliability.
• Automation & Reliability: Develop systems for CI/CD, versioning, rollback, A/B testing, monitoring, and alerting.
• Infrastructure Management: Maintain scalable, secure, and compliant AI environments across training and inference stages.
• Cloud & AI Integration: Collaborate with cloud providers (AWS, GCP, Azure) and AI platforms to enhance tooling and optimize costs.
• Cross-Functional Collaboration: Support GenAI and AI-driven projects across teams beyond core MLOps responsibilities.
• Architecture & Roadmap: Contribute to architectural planning, documentation, and the continuous evolution of the ML stack.
• Best Practices: Promote automation, MLOps standards, and operational excellence throughout the ML lifecycle.

Requirements:

• 5+ years of hands-on experience in MLOps or ML/AI Engineering.
• Strong understanding of ML/DL concepts and applied experience in model training and deployment infrastructure.
• Proficiency with cloud-native ML tools (e.g., GCP Vertex AI, AWS SageMaker, Kubernetes).
• Experience working across both model training and inference systems.
• Familiarity with model optimization methods such as quantization, distillation, TensorRT, or FasterTransformer.
• Demonstrated ability to lead complex technical projects independently.
• Excellent communication and collaboration skills with a cross-functional mindset.
• Ownership-oriented approach with comfort in driving clarity in ambiguous situations.

Skills:
MLOps, ML Engineering, Machine Learning Infrastructure, Model Deployment, Model Monitoring, CI/CD, Vertex AI, AWS SageMaker, GCP AI Platform, Kubernetes, Docker, MLflow, Kubeflow.

At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.

Role Overview

As the Quantitative Research Team Lead, you will head a team of quants and researchers dedicated to developing trading strategies, improving alpha models, and optimizing execution. This role is both hands-on research and strategic leadership: you will drive model development, oversee research pipelines, and mentor team members while shaping Apexver’s research roadmap.

You will partner with traders, engineers, and data scientists to push the boundaries of what’s possible in high-frequency and systematic trading.

Key Responsibilities

    • Leadership & Strategy

        ◦ Lead, mentor, and grow a team of quantitative researchers.

        ◦ Define research priorities, align with trading and technology strategy, and ensure results deliver measurable alpha.

        ◦ Instill best practices for model development, testing, and deployment.

    • Research & Innovation

        ◦ Develop and refine alpha models, statistical arbitrage signals, and systematic trading strategies.

        ◦ Explore large-scale datasets to identify patterns, anomalies, and predictive signals.

        ◦ Partner with engineers to translate research into robust, production-ready systems.

    • Collaboration & Execution

        ◦ Work closely with traders and risk managers to integrate models into execution pipelines.

        ◦ Collaborate with infrastructure teams to optimize simulation environments, backtesting frameworks, and data feeds.

        ◦ Balance short-term opportunities with long-term research initiatives.

Qualifications

Required:

    • 7+ years of experience in quantitative research / systematic trading, with at least 2+ years in a leadership capacity.

    • Advanced degree (PhD strongly preferred, MSc acceptable) in Mathematics, Physics, Computer Science, Statistics, or related quantitative discipline.

    • Deep experience with time-series analysis, probability, statistics, and machine learning methods.

    • Strong programming skills in Python (for research) and familiarity with C++ (for production alignment).

    • Proven track record of delivering profitable trading strategies or alpha models.

    • Strong leadership, communication, and ability to align a multi-disciplinary team.

Nice to Have:

    • Background in high-frequency trading (HFT) or market-making.

    • Expertise in market microstructure, execution algorithms, or exchange connectivity.

    • Experience managing petabyte-scale datasets and distributed research pipelines.

    • Comfort with risk management frameworks and capital allocation.

Why Join Apexver?

    • Compensation & upside: €180k base salary + up to 100% performance bonus.

    • Impact: Shape the research direction of a fast-growing proprietary trading firm.

    • Collaboration: Work alongside elite engineers and traders on high-stakes challenges.

    • Innovation: Freedom to test ideas quickly, deploy models, and iterate in production.

    • Culture: Flat, collaborative, and meritocratic environment where best ideas win.

Application

If you are excited to lead a world-class research team, love solving problems where milliseconds and insights matter, and want to directly impact the future of Apexver’s trading business — we’d love to talk to you.

COMPANY DESCRIPTION:  

VERSANT, Comcast Corporation’s (NASDAQ: CMCSA) planned spin-off, will be a leading independent publicly traded media company comprised of most of NBCUniversal’s cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025, subject to the satisfaction of customary conditions.

BUSINESS OVERVIEW:
At VERSANT Media’s Sports & Entertainment Digital Products division, we’re driven by a shared mission: to innovate, create unforgettable experiences, and connect with fans through the power of technology. Our diverse portfolio brings together industry-leading platforms that serve millions of users across the sports and entertainment landscape. 

In sports, we empower over 30 million players, coaches, administrators, and fans in 40 countries through more than 25 digital products. These include SportsEngine, the largest youth sports club, league, and team management platform; SportsEngine Play, the first-ever streaming service dedicated to youth and amateur sports; GolfNow, the top online tee time marketplace and golf course operations technology provider; and GolfPass, the ultimate golf membership that delivers exclusive content, tee time benefits, expert instruction, and more. 

In entertainment, we reach over 50 million movie and TV fans through our trusted digital brands. Our platforms support every stage of the fan journey – from discovering content to enjoying it on the big screen or at home. Our portfolio includes Fandango, the nation’s leading online movie ticketing service, partnering with more than 31,000 U.S. movie screens; Rotten Tomatoes, the iconic destination for movie and TV reviews; and Fandango at Home (formerly Vudu), our on-demand streaming service offering more than 250,000 titles, including new releases, next-day TV, and the largest selection of 4K UHD content in the industry. 

As a Data Engineer II, you will be working on our data systems and services with other data engineers to deliver projects and systems critical to Fandango's business. We expect our data engineers to be versatile, display leadership qualities and be enthusiastic about taking on new problems across our businesses as we continue to build great things for fellow movie fans.

Responsibilities:

• Contribute to and help team in design, build, testing, scaling, and maintaining data pipelines from a variety of source systems and streams (Internal, third party, cloud based, etc.), according to business and technical requirements.
• Continually work on improving the codebase and have active participation and oversight in all aspects of the team, including agile ceremonies.
• Collaborate with engineers and product managers to understand data needs.
• Participate in Agile ceremonies (standups, retros, sprint planning, etc.)
• Troubleshoot and fix production issues as they occur.

• Bachelor's degree in Computer Science, Computer Engineering, or related technical field, or equivalent practical experience.
• 5+ years of applied experience in Data Engineering, including but not limited to: building Data Pipelines, Orchestration, Data Modeling & Data Lake.
• Programming skills in one or more of the following: Python, Java, Scala, plus SQL and experience in writing reusable/efficient code to automate analysis and data processes.
• Experience in Data Warehousing (Relational and dimensional data modeling).
• Strong working experience with a variety of data sources such as APIs, real-time feeds, structured and semi-structured file formats.
• Experience with processing large datasets and building code using Glue, Apache Airflow / Amazon MWAA, SQL, Python, and pySpark.
• Experience of near Real Time & Batch Data Pipeline development.
• Experience with AWS data management (S3, Redshift, DynamoDB) and related tools (Athena, EMR, Glue, Lambda).
• Experience working in an agile/scrum environment.

Desired Characteristics:

• Familiar with software build, release, deployment and monitoring tools and practices.
• Experience with Talend, Informatica, or other off-the-shelf ETL tools.
• Experience working with Terraform.
• Strong Test-Driven Development background, with understanding of levels of testing required to continuously deliver value to production.
• Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm, and willingness to learn new methods, tools, practices, and skills.
• Ability to work effectively across functions, disciplines, and levels

Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence.

#LI-remote

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.

Although you'll be hired as an NBCU employee, your employment and the responsibilities associated with this job likely will transition to Versant in the future. By joining at this pivotal time, you'll be a part of this exciting company as it takes shape.