Senior Data Engineer

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Join Employer Direct Healthcare: Redefining Access to Quality Care

About Employer Direct Healthcare (EDH)

At Employer Direct Healthcare (EDH), we are committed to revolutionizing the way people access high-quality healthcare during critical moments. As the premier provider of surgical benefits for self-insured employers, we offer guided access to superior, cost-effective care for employers, employees, and their families. Our team is dedicated to simplifying the complexities of specialized healthcare, driving substantial change in the industry.

As the leading market player in Independent Centers of Excellence (CoE), EDH challenges the status quo by making top-tier surgeons accessible to all. Our surgeon-first model boasts the largest and most accessible network, surpassing our peers by 3-4 times and delivering an impressive ROI of 3x more. Serving hundreds of self-funded plan sponsors across over 1000 employers, we cater to over 4 million individuals across the U.S., saving our clients more than $700 million since our inception.

The U.S. healthcare system faces significant challenges, with rising costs and stagnant life expectancy. EDH addresses these issues by improving surgical outcomes, promoting better health, and reducing healthcare expenses.

About You

  • Ambition: You possess the drive to tackle substantial problems, generating innovative ideas and fostering supportive teamwork.
  • Customer Care: You are deeply committed to serving your customers, recognizing them as the primary motivation for change.
  • Team Environment: You thrive in collaborative settings, understanding that teamwork fuels innovation and progress.
  • Diversity: You value diverse experiences and perspectives, cherishing individual differences and their contributions to the team.
  • Detail Oriented: You excel in executing content and balancing a fast-paced environment while maintaining a focus on accuracy.
  • Progress: You celebrate both small and significant achievements, recognizing that every improvement drives greater change.
  • Integrity: Guided by integrity, you prioritize truthfulness over providing convenient answers.

If this description resonates with you, we invite you to explore career opportunities at Employer Direct Healthcare. Apply today, and our HR team will guide you through our interview process.

Senior Data Engineer

Position Overview: EDH is seeking a seasoned Senior Data Engineer to join our Data Engineering team. The ideal candidate will possess advanced expertise in building data pipelines, batch processing frameworks, and data modeling techniques for efficient data ingestion and export. You will collaborate with technology and business stakeholders to deliver data solutions that meet user requirements, utilizing industry-recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies.

Responsibilities

  • Design and implement robust, scalable, and high-performance data pipelines to meet organizational data needs.
  • Implement data ingestion, transformation, and quality features to support Application Engineering, Analytics, and various business verticals.
  • Collaborate with Data Architects and Business Analysts to build data models that enhance data reliability and interpretability.
  • Design, develop, and maintain efficient data export solutions for seamless data transfers to external systems and platforms.
  • Contribute to the creation of design documents, technology assessments, and Proof of Concepts (PoCs).
  • Support production jobs and promptly address any issues.
  • Write unit, integration, and functional tests for new features.
  • Contribute to the Technology Roadmap, PR reviews, and establish standards/best practices.
  • Foster a positive attitude and promote a culture of continuous learning and innovation.

Experience

  • 5+ years of experience as a Data Engineer, specializing in enterprise data solutions.
  • 3+ years of cloud experience with Azure (preferred), AWS, or GCP.
  • Expertise in Microsoft SQL Server (preferred) or other relational databases.
  • Strong experience with Microsoft ETL stack, SSIS, and Azure Data Factory.
  • Proficient in programming with Python or similar languages.
  • Expertise with SQL, stored procedures, triggers, and performance tuning.
  • Experience with big data technologies such as Spark, Databricks, or equivalent frameworks.
  • Pro