Data Platform Engineer: Bio & ML Pipelines

Outpost Bio; Massachusetts; On-site; USD 115,000 - 130,000; Full time

Benefits offered by this job

Equity

Medical/dental/vision

401(k) match

Disability insurance

Commuter stipend

PTO 25 days

Birthday off

Winter break

Home office stipend

Conference costs

Job summary

Outpost Bio is hiring a Data Platform Engineer in Boston to build and operate pipelines moving data from the lab to analysis-ready datasets. You will sit between wet-lab data producers and ML teams, owning datasets and ensuring repeatable, auditable pipelines.

We value 3–5 years of Python data infra, experience with Dagster/Airflow, and AWS expertise. You will collaborate across CROs and science teams, improving reliability, testing, and deployment while shaping the data platform for ML work.

Qualifications

• 3–5 years building and operating production data infrastructure in Python.
• Experience with pipelines, testing, deployment, and CI.
• Familiar with Dagster, Airflow, or Prefect on AWS (Batch/Fargate/S3).

Responsibilities

• Build and operate pipelines from raw data to analysis-ready data.
• Own datasets: schema stability, validation, provenance, versioning.
• Collaborate with wet-lab CROs and computational teams.
• Maintain good engineering practices: code review, tests, CI.
• Ensure training and inference runs are traceable with versioned inputs.

Job description

Outpost Bio is hiring a Data Platform Engineer in Boston to build and operate pipelines moving data from the lab to analysis-ready datasets. You will sit between wet-lab data producers and ML teams, owning datasets and ensuring repeatable, auditable pipelines.

We value 3–5 years of Python data infra, experience with Dagster/Airflow, and AWS expertise. You will collaborate across CROs and science teams, improving reliability, testing, and deployment while shaping the data platform for ML work.