Data Engineer – Build and Manage Modern Data Platform

About the role

Reveloop is building a modern data platform to unify revenue cycle, payer, financial and product data. As a Data Engineer you will own the design, implementation and operation of the data lake and broader data platform.

Key responsibilities

• Design, build and manage a Azure Data Lake Storage Gen2 based data lake with Raw, Bronze, Silver and Gold layers.
• Develop scalable ETL/ELT pipelines using SQL, Python and modern orchestration tools.
• Ingest data from databases, APIs, SaaS apps, files/SFTP and other sources.
• Implement data quality, governance, security, monitoring and lineage controls.
• Document architecture, pipelines, schemas, runbooks and operational procedures.

Required profile

• 5+ years of data engineering or data platform experience.
• Strong SQL and Python programming skills.
• Hands‑on experience with Azure Data Lake Storage Gen2 and production ETL/ELT pipelines.
• Solid understanding of data modeling, warehousing and database architecture.
• Ability to troubleshoot production issues and translate business needs into technical solutions.

Required skills

• SQL
• Python
• Azure Data Lake Storage Gen2
• Azure (Databricks, Data Factory, Synapse preferred)
• Git, CI/CD, code reviews
• Data quality, governance, security, monitoring, lineage
• ETL/ELT pipeline tools (Airflow, Dagster, Prefect, dbt)
• Docker, Terraform