Note: The job is a remote job and is open to candidates in USA. DecisionPoint Corporation is seeking a Senior Data Engineer to design, develop, and maintain secure data pipelines and analytics infrastructure for a Department of Defense modernization initiative. The role involves ensuring accurate data flow and collaboration with various teams to support cloud-based data solutions.
Responsibilities
- Design, implement, and maintain data pipelines and ETL processes supporting ingestion, transformation, and validation of mission data
- Develop and optimize data models and schemas across relational and non-relational databases to support system integrations and analytics
- Collaborate with system architects, integration developers, and data analysts to ensure data consistency, security, and integrity across cloud environments
- Implement data migration and synchronization between legacy systems, applications, and modern cloud platforms
- Utilize AWS services (Glue, Lambda, S3, RDS, Redshift, Kinesis) to build and sustain scalable and fault-tolerant data infrastructure
- Support data validation and reconciliation, performing quality checks and developing reports to ensure accuracy
- Integrate data from APIs, streaming sources, and file-based systems into centralized repositories or data lakes
- Automate data workflows using infrastructure-as-code and CI/CD principles to ensure repeatability and efficiency
- Monitor and troubleshoot data pipeline performance, ensuring adherence to SLAs and operational reliability
- Implement data encryption, masking, and access controls in compliance with DoD cybersecurity policies and RMF requirements
- Support development of dashboards and analytics products, enabling data-driven insights for mission stakeholders
- Maintain documentation and metadata repositories, including data dictionaries, lineage, and technical specifications
- Participate in Agile sprints, contributing to backlog refinement, testing, and cross-functional collaboration
Skills
- Must hold an active Secret clearance
- Bachelor's degree in Computer Science, Information Systems, or a related technical field
- Minimum 7 years of experience in data engineering, integration, or analytics enablement
- Experience building and optimizing data pipelines in enterprise or federal environments
- Familiarity with Agile software development and DevSecOps delivery frameworks
- Related technical certification required
- Proficiency with Python, SQL, and ETL frameworks (e.g., Apache NiFi, Talend, or AWS Glue)
- Experience with cloud data services, preferably AWS GovCloud (RDS, S3, Lambda, Glue, Redshift)
- Knowledge of database management systems (PostgreSQL, SQL Server, DynamoDB, MongoDB)
- Familiarity with RESTful API integration and data exchange standards (JSON, XML, CSV)
- Understanding of DoD data security and compliance standards, including encryption, RMF, and STIG adherence
- Experience developing and maintaining data validation, profiling, and transformation scripts
- Exposure to data visualization and analytics tools (Power BI, Tableau, QuickSight)
- Strong analytical and problem-solving skills for data integration and performance tuning
- Excellent communication and collaboration across technical and functional teams
- Attention to detail with focus on data accuracy and consistency
- Ability to balance data governance, security, and performance objectives
- Commitment to continuous improvement and mission impact through data-driven decision-making
- AWS Certified Data Engineer – Associate or AWS Certified Developer
- CompTIA Security+ CE or equivalent DoD 8570 certification
- Certified Data Management Professional (CDMP) or equivalent
Benefits
- This position is fully remote.
- Must hold an active Secret clearance.
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