Data Engineer

Remote: Hybrid (2 days on-site per week)

Salary: $120,000 – $140,000 base + 10% target bonus (flexible for outstanding profiles)

Visa: No sponsorship

Company

The organization is modernizing a fragmented legacy environment into a cloud‑native data platform built on Databricks and Azure. With strong revenue growth and national expansion underway, data engineering has become a strategic pillar to support pricing, risk, analytics, and operational decision‑making across the business.

The Role

• Design, build, and optimize end‑to‑end data pipelines on Databricks using Python, PySpark, and SQL.
• Implement and evolve Medallion architecture standards (Bronze, Silver, Gold) across multiple data domains.
• Develop ingestion frameworks for batch and streaming data, including structured and semi‑structured sources.
• Partner with actuarial, analytics, underwriting, claims, and marketing teams to deliver trusted, production‑grade data.
• Contribute to data governance, observability, cost optimization, and CI/CD best practices within Databricks.

Desired Profile

• 5–7+ years of experience in Data Engineering with strong, hands‑on Databricks expertise.
• Proven ability to build, explain, and own production‑grade pipelines from ingestion to consumption.
• Deep understanding of Medallion architecture and schema evolution strategies.
• Strong Python and PySpark coding skills, with solid SQL performance tuning experience.
• Experience working with cloud data lakes (Azure preferred) and modern file formats (Delta, Parquet, JSON, XML).