Overview:AWS Data EngineerLocation: Owings Mills, MD - Hybrid Onsite (LOCAL CANDIDATES ONLY!)
Contract RoleRole OverviewWe are seeking a highly skilled
AWS Data Engineer with extensive experience in designing, developing, and optimizing large-scale data pipelines and cloud-native solutions. The ideal candidate will bring strong expertise in
Python, PySpark, Apache Airflow, and AWS services, with a proven background in data migrations, enterprise data warehouses, and data lakes.
Key Responsibilities - Design, develop, and optimize data pipelines using Apache Airflow.
- Build scalable data solutions across Operational Data Stores, Data Warehouses, Data Lakes, and Data Marts.
- Leverage AWS services such as EKS, EMR, Glue, HashiCorp Vault, Docker, and Kubernetes for data engineering solutions.
- Apply strong SQL knowledge to design and manage data models and warehouse solutions.
- Collaborate with business and IT stakeholders to gather requirements and deliver high-quality solutions.
- Support data migration initiatives and implement ETL/ELT pipelines (DBT/Glue/EMR experience is a plus).
- Contribute to Agile-based development processes with accurate effort estimation and planning.
Must-Have Skills - 8+ years of hands-on experience in Python, PySpark, Apache Airflow, and AWS services (EKS, EMR, Glue, Kubernetes, Docker, HashiCorp Vault).
- 10+ years of overall experience in data migrations and warehouse development.
- Strong knowledge of SQL and the complete Data Warehousing lifecycle.
- Excellent communication skills to work across business and technical teams.
- Proven ability to plan, estimate, and execute data engineering projects.
Nice-to-Have Skills - Experience with cloud-native ETL/ELT tools such as DBT, Glue, or EMR.
- Prior experience in Agile environments with sprint-based delivery.