Data Engineer

📋 Description

• Architect and build distributed data processing systems using Python and Spark on AWS.
• Design and implement end-to-end ETL/ELT workflows ingesting data from diverse sources.
• Lead the Medallion Architecture across Bronze, Silver, Gold layers for scalability.
• Build reusable libraries for data quality, metadata, and pipeline monitoring.
• Create CI/CD processes to automate deployment and testing.
• Enforce data governance, security, privacy, and regulatory compliance.

🎯 Requirements

• 4+ years of professional data engineering experience building production-grade data platforms.
• Expert Python and Apache Spark; JVM tuning, memory management, and optimized workloads.
• Deep expertise in modern data architecture, data modeling for scalability.
• Proven AWS (primary) or GCP experience with EMR or Databricks.
• Experience with orchestration tools: Airflow, AWS Step Functions, or Prefect.
• Must be located in EST or CST; unrestricted US work authorization; no sponsorship.

🎁 Benefits

• Medical, dental, vision, and basic life insurance.
• PTO and company paid holidays.
• Retirement programs.
• 1% charitable giving program.