[Hiring] Data Engineer @Conch Technologies

Role Description

The Data Engineer will be responsible for designing and implementing data solutions in a cloud environment. The role requires strong technical skills and the ability to collaborate effectively with cross-functional teams.

• 5+ years in data engineering, platform engineering, or cloud infrastructure
• Hands-on experience with Databricks, including Spark / PySpark, Delta Lake, and Unity Catalog
• Strong proficiency in Python and SQL
• Experience with GitHub (or Azure DevOps as an equivalent workflow) for source control and collaboration
• Working experience with CI/CD tooling for data platforms (e.g., Databricks Asset Bundles, GitHub Actions)
• Experience interfacing with APIs and tools such as Postman
• Demonstrated experience implementing governance and CI/CD practices in a production data environment
• Strong communication skills, including the ability to translate between business needs and technical solutions

Qualifications

• Databricks (at least 3-5 years' Databricks experience)
• Google GCP BigQuery
• MS Fabric
• SQL & PowerBI
• Familiarity with Medallion Architectures
• Certifications in DataBricks

Requirements

• Insurance or financial services domain experience (preferred but not required; strong business acumen and rapid domain absorption are valued equivalents)
• Azure (or equivalent cloud platform) experience
• Infrastructure-as-Code experience (Terraform)
• Experience with data observability tooling (Monte Carlo, Datadog, or similar)

Company Description