Backend Engineer - Data Platform

Savant Bio — United States · Posted ~10 hours ago

Mid

Skills

backend engineering data engineering data platform development data ingestion data processing data quality large-scale data systems Python Rust backend systems data platforms LLMs

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Summary ✨ AI‑Generated

A backend engineer is wanted to help scale a data platform that processes large and complex datasets. You will design systems for ingestion, transformation, quality control, and delivery while working at the intersection of backend engineering, data engineering, and AI-enabled data processing.

Highlights

Help mature and scale a data platform handling large, complex datasets. The role combines backend and data engineering across ingestion, processing, quality control, and delivery, with exposure to clinically oriented data products and modern AI technologies.

Description

About Us Savant is transforming how healthcare and life sciences organizations unlock the value trapped in unstructured medical data. Our platform combines cutting-edge large language models (LLMs) with domain-specific quality controls to convert free-text clinical records into structured, analysis-ready data — efficiently, accurately, and at scale. We work with leading institutions across healthcare, life sciences, and research, supporting faster studies, sharper insights, and better care. Backed by Roivant (NASDAQ: ROIV), Savant is built for organizations that see structured data not just as an output, but as a foundation for innovation. The Opportunity We’re hiring a Backend Engineer to help mature and scale the data platform underlying Savant’s clinical data products. You’ll help design and implement the systems that move large, complex datasets through ingestion, processing, quality control, and delivery. This is a backend engineering role with a strong data engineering and infrastructure orientation. You’ll work across Python and Rust services, SQL-based data systems (DuckDB, Postgresql, and Ducklake), Dagster pipelines, and Kubernetes workloads. You’ll help establish the architectural patterns that allow Savant to process sensitive healthcare data efficiently while maintaining reproducibility, traceability, and quality. Savant is based in NYC, and this role is remote-eligible. Preference will be given to candidates able to come to work in NYC. Some Things You Might Work On Design and build production pipelines for ingesting, transforming, validating, and delivering healthcare datasetsDevelop backend services and APIs that support Savant’s clinical data productsBuild reliable Dagster workflows with strong patterns for partitioning, retries, idempotency, backfills, and observabilityDesign data models and contracts that support schema evolution, lineage, reproducibility, and downstream analysisOperate and improve containerized workloads running on KubernetesBuild systems for monitoring pipeline health, data quality, performance, and infrastructure costDiagnose production issues across application, data, and infrastructure layersImprove the performance of Python and SQL workloads operating over large datasetsEstablish testing and deployment practices that make data systems safer and easier to changeCollaborate with AI engineers to productionize new model workflows and scale them across customer datasetsHelp shape technical architecture as Savant’s platform, customer base, and processing volume grow What We’re Looking For 5+ years of experience building production backend or data-intensive software systemsExcellent Python and SQL skillsExperience with AWS and KubernetesSound technical judgment, taste, and the ability to make pragmatic architectural decisionsExperience designing and operating data pipelines at scale using Dagster, Airflow, Prefect, or a comparable orchestration frameworkClear communication skills and a collaborative mindset Bonus Points For Experience processing clinical, claims, laboratory, registry, or other healthcare dataExperience with DagsterExperience with distributed batch processing or compute-intensive data pipelinesFamiliarity with HIPAA, de-identification, auditability, or other information security requirements for sensitive dataExperience supporting machine-learning or LLM inference pipelinesExperience in an early-stage startup or small, fast-moving technical team Why Join Us Foundational Ownership: Build the systems on which Savant’s products and AI workflows dependMeaningful Scale: Solve real data-engineering and operational challenges involving large, complex clinical datasetsBroad Technical Scope: Work across backend services, data architecture, orchestration, and infrastructureTight Collaboration: Work directly with AI, product, clinical, and engineering partnersMission-Driven Work: Help make clinical data more usable for research, decision-making, and patient care Base salary for this role will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market conditions. The expected base salary for the role will generally be between $175,000 to $250,000 per year, with meaningful equity. The final salary offered may be outside this range based on individual circumstances and business and market conditions. Base salary if hired is only part of the total compensation package, which, depending on the position, may also include other components such as discretionary bonuses and Company-sponsored benefit programs. This position is at-will and Savant reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance and business and market conditions. Savant provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.