Nimble

Healthcare

SeniorDataEngineer

$185–240k Redwood City, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Healthcare
Problems you'll solve

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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