Senior Data Engineer

Garner HealthNew York City, NY
Hybrid

About The Position

We are seeking an exceptional Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. This role will report to our VP, Engineering. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS.

Requirements

  • 4+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)
  • Expertise in SQL, job experience, and demonstrated strength with Python
  • Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
  • Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), datalakes (especially Iceberg), data warehouses (especially Snowflake)
  • Expertise with SQL tuning, Spark development, medallion and event-driven architectures.
  • Familiarity with healthcare or insurance
  • Familiarity with data security and HIPAA compliance
  • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Responsibilities

  • Build, optimize, and maintain data pipelines that power our business
  • Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
  • Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies
  • Protect our users’ privacy and security through best practices

Benefits

  • flexible PTO
  • Medical/Dental/Vision plan options
  • 401(k) with company match
  • flexible spending accounts
  • Teladoc Health
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