Nimble
Healthcare
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Nimble. Skills: Data platform, Data pipelines, Production engineering, Data engineering. Own data platform end-to-end. Drive data platform roadmap”
What You'll Achieve.
Other teams move faster
Industry & Context.
Troubleshooting; Root cause analysis; Data-driven decision making
What They're Looking For.
Must Have
5+ years of experience, Deep Python fluency, Deep SQL fluency, Hands-on experience with distributed compute, Hands-on experience with streaming, Hands-on experience with object storage, Solid Postgres fundamentals, Experience with Iceberg, Experience with Trino, Comfort with CI/CD, Comfort with Terraform
Nice to Have
Experience with Spark jobs at scale, Willingness to work on services, Experience with Java, Experience with Spring Boot, Experience with Kinesis, Experience with S3, Experience with query optimization, Experience with indexing, Experience with replication, Experience with replica routing, Experience with CI/CD, Experience with Terraform, Experience with frontier models, Experience with agentic coding tools, Track record of working across teams
What You'll Do.
Own data platform end-to-end
Drive data platform roadmap
Build batch pipelines
Build streaming pipelines
Define data conventions
Partner with stakeholders
Turn data requests into pipelines
Develop self-serve tooling
Own security backbone
Own compliance backbone
Implement audit logging
Implement access control
Implement temporary-access workflows
Optimize backend query performance
Implement reader-replica routing
Implement IO instrumentation
Lead investigation of data infrastructure
Remediate data infrastructure issues
Use AI for pipeline scaffolding
Use AI for schema work
Use AI for ad-hoc investigations
Ship internal AI tooling
How You'll Work.
Team & Collaboration
Product stakeholders; Engineering stakeholders; Analytics stakeholders; Operations stakeholders; Across teams
Process & Methodology
Roadmap planning
Full Job Description
## Description Nimble, a Swoop company, is a healthtech company on a mission to simplify access, understanding and management of healthcare. We are starting by building the largest, most loved pharmacy business in the world. We are a fast-growing, technology-first startup driven by perfecting the patient and pharmacist experience. Nimble fosters a culture of collaboration, open communication and deliberate action that allows us to face today’s most exciting challenges head-on and grow incredibly quickly. As a Senior Data Engineer, you will own Nimble's data platform — the layer that every other team builds on to understand the business, ship product features, and meet our compliance obligations. The work scales beyond you: what you build once accelerates product, analytics, ops, and data science for years. The role lives at the intersection of production engineering and data engineering, and the test of your work is whether other teams move faster because of it. This is an opportunity to be rewarded for hard technical work on a problem that genuinely matters. Our engineering culture: We operate with shared trust and no egos. We enjoy being "in this together" and collaborating on the challenges of a rapidly scaling business. We live out our company values of curiosity, ownership, simplicity, and a get-it-done mentality. Open to Senior or Lead. What matters is what you could build, not your current title. ## You will Own the data platform end-to-end — ingestion, transformation, storage, query, and access — and drive its roadmap as the company's data needs grow Build and evolve batch and streaming pipelines on PySpark/EMR, Kinesis, Lambda, and Step Functions, ingesting from Postgres, Salesforce, third-party vendors, and product event streams into our Iceberg-based lake Model the warehouse: design SCD tables, event tables, and the conventions other engineers and analysts follow when adding new data Partner with product, engineering, analytics, and operations stakeho
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