Garner Health

Data Engineer III

Garner Health
Apply
2 months ago

Base Salary

$166k - $205k/yr

Responsibilities

  • Build, optimize, and maintain data pipelines that power Garner’s business.
  • Define and build reusable, abstracted datasets for Business Intelligence, Marketing, and Data Science Research.
  • Design, build, and promote a federated data validation framework to monitor potential data inconsistencies.
  • Protect user privacy and security through data engineering best practices.

Requirements

  • Have 2+ years of software or data engineering experience, including distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality.
  • Demonstrate expertise in SQL and Python.
  • Have expertise building scalable data pipelines, optimizing queries, modeling data, and defining reusable datasets.
  • Have experience with orchestration tools, especially Airflow; databases, especially PostgreSQL; and data warehouses, especially Snowflake.
  • Have familiarity with SQL tuning, medallion and event-driven architectures, and telemetry.
  • Healthcare or insurance experience is preferred.
  • Familiarity with data security and HIPPA compliance is preferred.

Benefits

  • The role is based in Garner’s New York City office and requires working onsite three days per week on Tuesday, Wednesday, and Thursday.
  • Benefits include equity incentive eligibility, flexible paid time off, medical, dental, and vision plan options, a 401(k) with company match, flexible spending accounts, and Teladoc Health.

Tech Stack

AirbyteApache AirflowApache SparkArgo CDAWSdbtElasticsearchPostgreSQLPythonSnowflakeSQLTerraform

Categories

Data Engineering
Garner Health

About Garner Health

501-1,000 employees

Garner Health builds an employer-focused healthcare benefits platform that ranks doctors using extensive claims and clinical data, then offers incentives to guide employees to high-quality care. It partners with employers to apply 550+ clinical metrics across 80+ specialties on billions of medical records to recommend top-performing providers and reduce costs. Founded in 2019, the company is privately held and serves U.S. employer groups.

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