Hiring Data Engineers in USA
Core
Build scalable data platforms and robust ETL pipelines to power enterprise AI and analytics initiatives.
Role type
Mid-Level Data Engineer
Builds
Modern data platforms, high-performance data pipelines, and structured datasets for ML/AI
Domain
Enterprise Data Engineering, Cloud Data Platforms
Deliverable
production ML models | product features
Required skills
Python, SQL, PySpark, Delta Lake, Databricks, AWS/Azure/GCP, Data Modeling, Git, CI/CD
Preferred skills
Unity Catalog, dbt, Airflow, Databricks Certifications
Technologies
PySpark, SQL, Delta Lake, Databricks, AWS, Azure, GCP
Responsibilities
Build and optimize batch/streaming ETL workflows; Implement Medallion architecture; Manage and deploy data resources on cloud platforms; Benchmark Spark jobs and tune SQL performance; Structure and clean large enterprise datasets for production ML
Seniority
Mid-Level, hands-on IC
