Gradient AI

AI underwriting + claims solutions that power a better return on risk for Group Health, Work Comp and other P&C insurers

Senior Data Engineer

Data EngineerData EngineerFull TimeRemoteTeam 51-200H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

22 days ago

Salary

$130K - $165K / year

Bachelor Degree4 yrs expEnglishAirflowApacheAWSCloudDockerETLKubernetesPy SparkPythonSparkSQLTerraform

Job Description

• Design, build, and implement data systems to support ML and AI models for our health insurance clients, ensuring strict compliance with healthcare data privacy and security regulations (e.g., HIPAA). • Develop tools for extracting, processing, and profiling diverse healthcare data sources, including EHRs, medical claims, pharmacy data, and genomic data. • Collaborate with data scientists to transform large volumes of health-related and bioinformatics data into modeling-ready formats, prioritizing data quality, integrity, and reliability in healthcare applications. • Build and maintain infrastructure for the extraction, transformation, and loading (ETL) of data from a variety of sources using SQL, AWS, and healthcare-specific big data technologies and analytics platforms. • Ensure data pipelines meet the unique requirements of health, medical, and bioinformatics data processing, including translating complex medical and biological concepts into actionable data requirements.

Job Requirements

  • BS in Computer Science, Bioinformatics, or another quantitative discipline with 4+ years of relevant working experience.
  • Deep expertise in health, medical, and bioinformatics data, including real-world healthcare datasets, with a strong understanding of the complexities and challenges of processing medical and biological information.
  • Proficiency in Python and SQL within a professional environment.
  • Hands-on knowledge of big data tools like Apache Spark (PySpark), Databricks, Snowflake, or similar platforms
  • Experience with data orchestration frameworks such as Airflow, Dagster, or Prefect.
  • Experience with modern DevOps practices, including CI/CD, IaC (Terraform), containerization (Docker/Kubernetes), and cloud environments (AWS preferred).
  • Knowledge of data transformation tools, such as dbt, is a plus

Benefits

  • A fun, team-oriented startup culture.
  • Generous stock options - we all get to own a piece of what we’re building.
  • Unlimited vacation days.
  • Flexible schedule that supports working from home.
  • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
  • Ample opportunities to learn and take on new responsibilities.

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