Staff Data Engineer

Role Description

As a Staff Data Engineer at Imagine Pediatrics, you will be the first dedicated Data Engineer on a hybrid team with Analytics Engineers, responsible for defining how data moves through our platform and owning the data pipelines that power clinical analytics, operational reporting, and external integrations.

• Ensure that data ingestion and integration decisions are made with a clear understanding of downstream analytical usage.
• Partner closely with Analytics Engineers, Product Engineers, and Platform Engineers to deliver a platform built for a high-growth, mission-driven healthcare organization.
• Design, build, and maintain scalable ELT pipelines that ingest data from clinical systems, APIs, and third-party integrations.
• Architect and manage event-driven data pipelines in AWS.
• Write and maintain infrastructure-as-code to deploy and manage data ingestion workloads.
• Orchestrate pipeline execution and monitoring using Dagster.
• Implement data quality checks, alerting, and lineage tracking across the pipeline.
• Identify and eliminate systemic failure modes in pipelines.
• Partner with Analytics Engineers to ensure upstream data supports correct and consistent downstream models.
• Set technical direction for data architecture and mentor other engineers.

Qualifications

• 7–10+ years of data engineering or platform engineering experience.
• At least 2+ years in a senior or staff-level role owning production data systems.
• Strong experience designing data pipelines using Python and SQL.
• Strong experience with AWS services including Lambda, SQS, SNS, and S3.
• Strong experience building event-driven and API-based ingestion systems.
• Experience with data orchestration tools such as Dagster or similar.
• Experience working with infrastructure-as-code (Terraform).
• Experience with cloud data warehouses, preferably Snowflake.
• Proficiency in at least one scripting language beyond SQL and Python.
• Demonstrated use of modern software engineering practices.
• Proven ability to troubleshoot complex data and infrastructure issues.
• Proven ability to reason about downstream analytical impact of data pipeline design.
• Experience working closely with analytics engineering or data modeling.

Requirements

• Experience designing or managing IAM policies and least-privilege access models.
• Experience with dbt or modern analytics engineering workflows.
• Experience working with healthcare data, FHIR resources, or clinical systems.
• Familiarity with HIPAA compliance and handling of PHI in cloud environments.
• Experience with high-volume ingestion systems.
• Experience driving the adoption of AI tools to improve engineering productivity.
• Exposure to real-world evidence (RWE), health economics and outcomes research (HEOR).

Benefits

• Competitive medical, dental, and vision insurance.
• Healthcare and Dependent Care FSA; Company-funded HSA.
• 401(k) with 4% match, vested 100% from day one.
• Employer-paid short and long-term disability.
• Life insurance at 1x annual salary.
• 20 days PTO + 10 Company Holidays & 2 Floating Holidays.
• Paid new parent leave.
• Additional benefits to be detailed in offer.