HealthCare.com

Lead Data Engineer

HealthCare.com

full-time

Posted on:

Location Type: Remote

Location: ConnecticutMassachusettsUnited States

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About the role

  • Design, build, and maintain production-grade data pipelines using Airflow and AWS services like Lambda, DynamoDB
  • Own data ingestion from internal systems and third-party integrations (e.g., Google, Bing, external APIs).
  • Manage data storage and movement across S3, Snowflake, Snowpipe, and DynamoDB.
  • Write and maintain custom Python code that runs reliably in production.
  • Work across dev, staging, and production environments with proper deployment and rollback practices.
  • Partner with analytics, data science, and product teams to design reliable, usable data models.
  • Review code, mentor junior engineers, and help establish best practices for data quality, reliability, and observability.
  • Identify and fix performance, cost, or reliability issues in existing pipelines.

Requirements

  • Strong experience building and maintaining production data pipelines.
  • Deep comfort with Python for data engineering (not just scripting).
  • Hands-on experience with Airflow in a real production environment.
  • Experience working in AWS, including S3 and managed services.
  • Solid SQL skills and experience working with analytical warehouses (Snowflake strongly preferred).
  • Experience operating systems across multiple environments (dev / prd).
  • Ability to mentor others through code review, design discussions, and troubleshooting.
  • Bonus Skills
  • Experience with Kubernetes or containerized workloads.
  • DevOps or platform experience (CI/CD, infrastructure-as-code, monitoring).
  • Analytics experience (data modeling, working directly with analysts or stakeholders).
  • Experience integrating with external APIs and managing schema or contract changes.
  • History of improving data reliability, latency, or cost at scale.
  • Experience as a technical mentor—reviewing code, setting standards, and helping the team make better engineering decisions.
  • Can explain why a system is built a certain way, not just how.
Benefits
  • Opportunity to work from home
  • Excellent work environment
  • Medical, dental, and vision insurance
  • Up to 15 days of paid time off
  • 12 company observed holidays
  • 401k plan with company match
  • Life insurance
  • Professional growth opportunity
  • Most importantly, an inclusive company culture established by an incredible team!
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data pipelinesPythonAirflowAWSS3SnowflakeSQLKubernetesCI/CDdata modeling
Soft Skills
mentoringcode reviewtroubleshootingdesign discussionscollaborationproblem-solvingcommunicationbest practicesperformance optimizationreliability improvement