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Data Engineer

7 hours, 22 minutes ago
United States
Full-time
Mid Level
Data Engineer
Software Development
Apache Airflow Apache Spark AWS Azure CI/CD Databricks GCP Kubernetes Python Snowflake SQL
Apply Now
Definitive Healthcare

Definitive Healthcare

Definitive Healthcare specializes in transforming data and analytics into healthcare commercial intelligence, providing comprehensive insights on hospitals, physicians, and other healthcare providers to help clients navigate and succeed in the healthca...

Professional Services
501-1000
Founded 2011
View All Jobs 7

Description

  • Build, test, maintain, and support ETL/ELT pipelines, transformations, and data components using Python, SQL, and Spark/PySpark.
  • Own assigned pipeline components through implementation, testing, deployment, documentation, and production support.
  • Troubleshoot pipeline failures, data-quality issues, and performance problems; identify root causes and implement maintainable fixes.
  • Contribute to technical designs, estimates, and implementation plans aligned with engineering and architecture standards.
  • Apply data modeling, testing, code review, observability, security, source control, CI/CD, and operational-support practices.
  • Monitor pipeline reliability and performance, communicate risks and blockers, and improve quality and maintainability.
  • Partner with engineering, QA, analysts, Product, Support, and data consumers to clarify requirements and deliver data changes.
  • Assess downstream effects of data and schema changes and support vendor-delivered data sources and customer issues.
  • Participate in code reviews, sprint activities, documentation, technical discussions, and knowledge sharing.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • 2+ years of data engineering, software engineering, or related experience building and supporting production data solutions.
  • Proficiency in Python and SQL, including production data-pipeline development and maintenance.
  • Experience with Apache Spark/PySpark or equivalent distributed data-processing technologies.
  • Experience with AWS, Azure, or GCP and data platforms such as Databricks, Snowflake, or Delta Lake.
  • Experience with workflow orchestration platforms such as Airflow or Argo.
  • Working knowledge of relational databases, data modeling, testing, code review, observability, source control, CI/CD, and production support.
  • Ability to independently own technical work, troubleshoot issues, and communicate progress, risks, and blockers.
  • Healthcare data experience with claims, pharmacy, eligibility, consumer, provider, or reference data (preferred).
  • Experience with lakehouse or medallion architectures, Kubernetes-based Spark workloads, regulated enterprise data products, vendor datasets, or AI-assisted engineering tools (preferred).

Benefits

  • Base salary range of $93,000–$141,000 per year.
  • Potential eligibility for a company bonus or commission plan.
  • Medical, dental, and vision coverage.
  • Unlimited paid time off.
  • 401(k) plan with employer contribution.
  • Flexible, dynamic work culture.
  • Community-service opportunities through Definitive Cares.

Interested in this position?

Apply directly on the company website

Apply Now

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