Data Engineer
On-siteCamp Springs, Maryland, United States
Job Summary
Design, develop, and maintain enterprise data pipelines supporting ingestion, transformation, integration, and analytics workloads. Build and optimize scalable data architectures for reporting, machine learning, and operational systems across cloud and hybrid environments. Develop ETL and ELT processes while implementing data quality controls, validation, and governance standards to ensure integrity. Monitor platform performance, scalability, and reliability; support real-time and batch processing solutions. Collaborate with Data Scientists, analysts, and architects to drive data initiatives. Manage data migration, modernization, and cloud transformation projects. Implement security controls and compliance requirements. Maintain technical documentation, data dictionaries, and architecture diagrams. Requires US citizenship for Public Trust, local presence in the DMV area, and a Bachelor's degree.
Required Qualifications
- US Citizenship required to obtain Public Trust
- Must be local to the DMV area
- Bachelor Degree
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical discipline
- Experience designing, building, and maintaining scalable enterprise data pipelines and data architectures
- Experience utilizing Python, SQL, Spark/Scala, Databricks, and distributed data processing technologies
- Experience supporting AWS cloud environments utilizing S3, Kinesis, Lambda, Aurora, RDS, OpenSearch, CloudFormation, and CloudWatch
- Experience working with relational and non-relational databases including PostgreSQL, Oracle, SQL Server, Redis, Aurora, and OpenSearch
- Experience implementing ETL and ELT solutions, data integration frameworks, and enterprise data management practices
- Experience supporting real-time data streaming and event-driven architectures utilizing Kafka and Confluent Kafka
- Experience utilizing GitHub Enterprise, Harness, CI/CD pipelines, Terraform, Docker, and Kubernetes to support modern data engineering practices
- Experience implementing data quality controls, data governance standards, and operational monitoring solutions
- Strong analytical, troubleshooting, and problem-solving skills with the ability to support complex enterprise data environments
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