Senior Data Platform Engineer
New
M
MediumPublishing Platform
We’re fully remote and have teammates across the U.S. & FranceFull-TimeSenior
Salary165,000 - 205,000 USD per year
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Job Details
- Experience
- 4–6 years
- Required Skills
- AWSPythonKubernetesSnowflakeData engineeringSparkDevOpsdbt
Requirements
- 4–6 years of experience across data engineering, backend engineering, DevOps, or SRE
- Proficiency in Python
- Experience with data pipeline tooling such as Snowflake, dbt, or Spark
- Experience with cloud infrastructure, specifically AWS
- Experience with backend services
- Ability to assess tech debt pragmatically and advocate for sustainable improvements
- Excellent communication and collaboration skills with a focus on downstream users
- Adaptable and eager to learn new systems and tools
- Comfortable operating without a dedicated PM layer
- Experience with Kubernetes, data observability, or ML infrastructure is a plus
Responsibilities
- Build, maintain, and modernize the data infrastructure that Medium's product and engineering teams depend on to do their best work
- Own reliability of our data infrastructure: Identify risks, instrument better observability, and drive improvements that reduce toil for the whole org
- Bring a product mindset to platform ownership, partnering with engineers and stakeholders across teams to understand their data infrastructure needs and help design systems they can use and trust
- Contribute to the long-term platform roadmap, including migration of end-of-life systems toward modern, maintainable alternatives
- 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 practices as first-class concerns
- Mentor teammates and improve shared standards around reliability, documentation, and platform ergonomics
- Attend Medium's twice-yearly, in-person offsites (hosted in locations around the U.S.)
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