Oakland, CA, United States Hi! I work on product & engineering at Redivis, and we're hiring a Research Advocate and Support Engineer to join our team. We're a data platform for academic research at leading U.S. institutions, and we're looking for someone to take ownership of building and supporting our growing community of researchers and data administrators. We’re looking for an empathetic, clear communicator who is proficient in Python, R, and/or SQL, and loves to write, present, and debug data pipelines. Apply here: https://redivis.homerun.co/technical-evangelist-and-support-engineer/en Company: https://redivis.com Location: Remote (United States) Salary: $140K + equity + benefits Strong technical proficiency in using Python, R, and/or SQL for data science. Solid understanding of data science principles, methodologies, and common tools. User empathy around the challenges and pain points when working with research data. Experience creating and maintaining teaching or support materials. Excellent written and verbal communication skills, with the ability to explain complex technical concepts clearly and concisely. Comfortable adapting to the needs of a highly diverse user base spanning numerous scientific disciplines and varying levels of data science expertise. Strong problem-solving skills and a methodical approach to troubleshooting.

Remote, United States Chime Engineering is growing rapidly as we scale to meet the financial needs of our members—and that growth depends on strong, secure, and efficient engineering foundations. We’re hiring a Senior Python Core Engineer- to join the Languages & Frameworks team within Engineering Services, with a mission to standardize and strengthen Chime’s Python ecosystem. Python is increasingly foundational to our data engineering, analytics, machine learning, and emerging AI initiatives. As Python adoption expands, we need clear ownership and stewardship over Python releases, packaging, base images, and shared libraries to reduce security risk, eliminate duplicated effort, add guardrails against AI generated code, and make builds and runtimes more reliable and reproducible. In this role, you’ll be the technical leader for Python foundations across the company responsible for owning the lifecycle of Python versions, defining best practices, improving build and dependency workflows, and maintaining key internal Python libraries. You’ll partner closely with platform teams, CI/CD stakeholders and data/ML orgs to drive improvements that make Python development faster, safer, and more scalable. The base salary offered for this role and level of experience will begin at $187,000 and up to $259,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. In this role, you can expect to: *Own Chime’s Python version standards, upgrade cadence, and compliance, reducing EOL exposure and security patch lag *Design and drive safe, repeatable Python upgrade processes across services and shared libraries, enabling teams to adopt new versions with minimal friction *Establish clear dependency management practices (e.g., version locking policies, upgrade safety, library compatibility strategies) *Partner with CI/CD stakeholders to improve build performance, reliability, and developer experience for Python projects *Maintain and develop critical internal Python libraries including roadmap, quality, and adoption *Define and evangelize Python best practices (“the Chime way”), aligned with community standards, and support teams through documentation and enablement *Identify and drive opportunities to maximize returns from the Python + AI ecosystem, evaluating tools, practices, and vendor options that improve iteration speed and outcomes To Thrive in this Role, You Have: *5+ years of software engineering experience, with deep hands-on expertise in Python in production *Strong experience with Python build tooling, and an understanding of tradeoffs in versioning and distribution *Understanding of asynchronous and synchronous data-sharing patterns (pub/sub, RPC, caching, etc.). *Solid knowledge of containerized environments and build systems (Docker images, CI pipelines, caching, reproducible builds) *Experience building and maintaining shared libraries used by multiple teams, including API design, backwards compatibility, and release management *A security- and reliability-first mindset, especially around EOL management, patching and build integrity *Strong cross-functional collaboration skills—able to influence without authority and align multiple teams around standards and migrations *Comfort operating with ambiguous requirements, creating clarity through docs, prototypes, and incremental rollout plans *Bonus: experience working in/supporting data engineering and ML *Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.