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.

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.

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 stakeholders across the company to turn data requests into well-scoped, reliable pipelines — and write the docs and tooling that let them self-serve next time
Own the security and compliance backbone of our data systems, including audit logging, access control, and temporary-access workflows
Optimize backend query performance where the data layer meets product code — reader-replica routing, indexing, caching, and IO instrumentation in our Java/Spring services
Lead investigation and remediation when data infrastructure misbehaves — IOPS spikes, pipeline failures, schema drift, late data — and make the fixes durable
Use AI as a daily accelerant for pipeline scaffolding, schema work, and ad-hoc investigations — and ship internal AI tooling that lets other teams do the same
Mentor engineers and analysts across the company on how to work with the data platform

What you bring:

5+ years of experience building production data pipelines and platforms
Deep Python (PySpark) and SQL fluency, including tuning Spark jobs at scale
The skills and willingness to work on the services around the data layer (Java, Spring Boot)
Hands-on experience with distributed compute (Spark/EMR), streaming (Kinesis), and object storage (S3)
Solid Postgres fundamentals — query optimization, indexing, replication, replica routing, and a feel for when the database is the bottleneck
Experience with Iceberg and Trino, or similar
Comfort with CI/CD and Terraform
Already building with AI — frontier models, agentic coding tools, or something you hacked together last weekend
Track record of working across teams that don't speak your language (product, ops, etc.)

About you:

You take ownership of the platform's reliability, cost, accessibility, and compliance — not just the tickets you happened to ship
You think about security and PII/PHI handling as core engineering work, not as someone else's problem
You're a force multiplier: the docs, tools, and skills you leave behind make other engineers and analysts faster long after the original ticket closes
You have a bias for shipping iteratively and instrumenting what you ship — you'd rather demo a rough v1 in two days than a polished v3 in two weeks
You take pride in your work and have good judgment on what to prioritize when everything feels urgent

What's in it for you:

Compassionate and driven colleagues in a fun environment where success is celebrated
Accelerated career growth in a fast-growing company
Coaching from experienced engineering leaders
Direct access to executives and a transparent company culture
Rare opportunity to change an industry and lives of millions
We are reinventing healthcare / pharmacy - your (grand)parents and your (grand)children will understand and appreciate what you do
Medical / Dental / Vision
Generous Vacation Policy - 15 days of paid vacation in the first year, then increases to 20 days after one year
11 Paid Holidays
Work out of our HQ in beautiful downtown Redwood City

At Nimble, we are dedicated to putting patients first and improving pharmacies across America. Join us on this exciting journey!

Diversity, inclusion and belonging at Nimble: Nimble is building a diverse and inclusive work environment where we learn from each other. We pride ourselves on being an equal opportunity employer and welcome people of diverse backgrounds, abilities and perspectives.