RAZOR17.04.26
AI SCORE 8.5

Senior Data Engineer - Remote Position at Razor

$90K–$120K/year

About the Role

Razor is looking for a Senior Data Engineer to join our team in a fully remote capacity. In this role, you will design and build scalable data ingestion ETL/ELT pipelines that normalize data to support quality reporting, risk adjustment, and regulatory programs. As a Senior Data Engineer remote, you'll play a critical role in ensuring the integrity and accessibility of our data.

What You'll Do

  • Develop scalable ETL/ELT pipelines to facilitate data processing.
  • Build data models for quality and risk adjustment reporting.
  • Maintain data lineage, provenance, and traceability throughout the data lifecycle.
  • Implement automated validation and quality monitoring to ensure data accuracy.
  • Collaborate with actuarial, quality, compliance, and analytics teams to align data strategies.
  • Optimize pipeline performance in cloud and hybrid environments.
  • Document transformations, mappings, and governance controls for future reference.

Requirements

  • Bachelor's degree in Computer Science, Data Engineering, Health Informatics, or a related field.
  • 3+ years of experience in data engineering or ETL development.
  • Strong proficiency in SQL and Python.
  • Experience with data warehouses and data marts.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.

Nice to Have

  • Experience with Snowflake, Databricks, Redshift, BigQuery, Airflow, and dbt.
  • Knowledge of data governance frameworks.

What We Offer

  • Competitive salary in the range of $90,000 to $120,000 per year.
  • Fully remote work environment, allowing for flexibility and work-life balance.
  • Opportunities for professional development and growth within the company.
  • Inclusive company culture that values diversity and equal opportunity.
  • Comprehensive benefits package to support your health and well-being.
Why This Job8.5 of 10

This Senior Data Engineer role at Razor offers an exciting opportunity to work remotely while building impactful data solutions in the health sector. With competitive compensation and a focus on professional growth, it's a great fit for experienced data engineers.

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