Senior Data Platform Engineer
$165k - $205kA Medium Corporation
About Medium Medium is one of the world's most influential writing platforms, connecting millions of readers with ideas that matter. We're a small, dedicated team that cares deeply about craft, curiosity, and building something that lasts. We make decisions efficiently and iterate fast, think carefully, and take the work seriously - without taking ourselves too seriously. About The Role We're looking for a Senior Engineer to play a key role in Medium's Data Platform team, building and evolving the data infrastructure that powers Medium's business. As a member of the data platform team, you'll own the reliability, performance, and long-term architecture of the systems that data scientists and engineers at Medium depend on every day—everything from ingestion and transformation to orchestration and observability. This isn't a pure data engineering role; it's part data engineering, part DevOps, part SRE, and part backend software engineering. You will help transform a collection of aging systems into a modern foundation. What You Will Do (Key Responsibilities) Build, maintain, and modernize the data infrastructure that Medium's product and engineering teams depend on. Own reliability of our data infrastructure: Identify risks, instrument better observability, and drive improvements. Bring a product mindset to platform ownership, partnering with engineers and stakeholders. Contribute to the long-term platform roadmap, including migration of end-of-life systems. Write and review Python-based tooling for pipeline orchestration, data quality, and infrastructure automation. Apply DevOps and SRE best practices: think about uptime, monitoring, alerting, and deployment. Mentor teammates and improve shared standards around reliability, documentation, and platform ergonomics. Attend Medium's twice-yearly, in-person offsites. Who are you? (Skills, Knowledge & Expertise) 4–6 years of experience across data engineering, backend engineering, DevOps, or SRE. Proficient in Python. Comfortable working across the stack (Snowflake, dbt, Spark, AWS, backend services). Approach legacy systems with curiosity and pragmatism. Care about downstream users and platform ergonomics. Experience with Snowflake, Kubernetes, data observability, or ML infrastructure is a plus. Adaptable, eager to learn, and collaborative. Nice to Haves Experience using AI to improve a team's leverage. Comfortable operating without a dedicated PM layer. Personal user of Medium. Benefits Fully distributed team (U.S. & France). Healthcare benefits covered at 100% for employees and 80% for dependents. Generous parental leave policy. Mental health support and financial wellness support. Stipends for co‑working, professional development, wifi, and a home office bonus. Unlimited PTO and standard company holidays. Discounted Medium membership. Salary Range $165,000 - $205,000 USD #J-18808-Ljbffr
$120k - $127k
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