Senior Data Engineer
AI summary of the role
NimbleRx is hiring a Senior Data Engineer to own the end-to-end data platform that underpins product, analytics, and compliance.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Own the data platform end-to-end: ingestion, transformation, storage, query, and access, and drive its roadmap
- Build and evolve batch and streaming pipelines on PySpark/EMR, Kinesis, Lambda, and Step Functions into an Iceberg-based lake
- Model the warehouse with SCD tables, event tables, and conventions for other engineers and analysts
- Partner with product, engineering, analytics, and operations to turn data requests into reliable pipelines and self-serve tooling
What you’ll bring
- 5+ years building production data pipelines and platforms
- Deep Python (PySpark) and SQL fluency, including tuning Spark jobs at scale
- Hands-on experience with distributed compute (Spark/EMR), streaming (Kinesis), and object storage (S3)
- Solid Postgres fundamentals: query optimization, indexing, replication, replica routing
Technologies
PySpark · EMR · Kinesis · Lambda · Step Functions · Iceberg · Trino · Postgres · Java · Spring Boot · Terraform · S3
About NimbleRx
NimbleRx helps pharmacies digitize checkout, refills, payments, and patient messaging while giving biopharma brands consented patient activation channels.
Series E · 100–200 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
regional pharmacies to deliver a modern, consumer-friendly healthcare experience while streamlining pharmacy operations. If you're a driven professional seeking to make a real difference in healthcare marketing at a fast-growing, innovative company, join Swoop and help us revolutionize how brands connect with patients and HCPs. 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.
More from the job description
At Swoop, our mission is simple: Improving patient outcomes. As a market leader in AI-driven, data-powered, and privacy-compliant healthcare engagement, we connect the signals that drive earlier diagnosis, better treatment decisions, and sustained adherence. Our integrated, privacy-safe platform, enables life sciences companies to drive measurable patient and commercial outcomes with actionable intelligence — spanning patient and HCP audience targeting, community engagement, AI-powered web solutions, coordinated omnichannel activation, and prescription fulfillment. We believe our people are our greatest asset. Swoop fosters a culture of innovation and continuous learning, providing employees with rich opportunities for professional growth. This commitment to our team earned us the "Best Places to Work" recognition from Business Intelligence Group in 2025 and 2026. We are driven by a patient-first philosophy and passionate about leveraging technology to create a healthier future. After becoming an independent company in 2024, Swoop experienced significant growth and demonstrated an unwavering commitment to innovation, talent development, and enhancing the patient experience. Our acquisition of MyHealthTeam in January 2025 and Nimble in May 2026 helped us further bridging the gap between healthcare brands and patients for more impactful and targeted engagement. Empowering milli [... source excerpt omitted ...] fference in healthcare marketing at a fast-growing, innovative company, join Swoop and help us revolutionize how brands connect with patients and HCPs. 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 p [... source excerpt omitted ...] ve 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 Partn
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