Key skills
CloudETLJavaPythonScalaSQLELTData EngineeringData WarehousingAnalyticsAgileLeadershipCommunicationCollaboration
About this role
Role Overview
- Design, construct, and maintain the infrastructure and architecture required for large-scale data processing systems.
- Develop and implement data pipelines, ETL processes, and data integration workflows to collect, transform, and deliver data from diverse data sources.
- Build and maintain scalable data storage solutions, including data lakes, data warehouses, and cloud-based data platforms.
- Collaborate with data scientists, analysts, and application developers to ensure data accessibility and usability for analytics and reporting.
- Optimize data systems for performance, scalability, and reliability.
- Implement data quality checks, validation processes, and monitoring to ensure data integrity.
- Support the development and maintenance of data models and data architectures that align with business and analytical requirements.
- Troubleshoot and resolve issues related to data pipelines, infrastructure, and system performance.
- Maintain documentation for data architecture, workflows, and technical processes.
- Stay current with industry trends, emerging technologies, and best practices in data engineering and data architecture.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field
- Minimum 8 years of professional experience in data engineering, data integration, or a related technical field, including 3+ years in a leadership role
- Ability to document data flows, data dependencies, and technical processes in support of business process analysis
- Experience supporting data-intensive, analytical, research, financial, or regulatory environments
- Demonstrated experience designing, developing data pipelines, data transformations, and data workflows
- Strong experience developing ETL/ELT pipelines and large-scale data processing solutions
- Familiarity with data governance, data quality, metadata, and access control considerations
- Proficiency with SQL and programming languages such as Python, Java, or Scala
- Experience working with relational and/or non-relational databases and data storage technologies
- Strong understanding of data modeling, data warehousing, and data integration concepts
- Ability to support modernization or migration efforts from legacy data environments
- Strong analytical and problem-solving skills
- Excellent communication and collaboration abilities
- Ability to work effectively in agile, hybrid, or iterative delivery environments, including collaboration with cross-functional teams and incremental solution delivery.
- US Citizenship required.
- Must reside in the Continental US; and be within driving distance to Washington, DC.
- Depending on the government agency, specific requirements may include public trust background check or security clearance.
Tech Stack
- Cloud
- ETL
- Java
- Python
- Scala
- SQL
Benefits
- health care
- dental
- vision
- life insurance
- 401(k)
- paid time off including PTO
- holidays
- any other paid leave required by law