Data Engineer
Title: Data Engineer Location: Remote, USA Clearance: Top-Secret Type: Full-time, W2 About VivSoft We are a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and Digital Experience. We are a diverse team of innovators focused on creating open, scalable, and automated solutions that drive digital transformation in federal space. Our work culture fosters collaboration, creativity, and continuous learning. Job Summary We are seeking a Data Engineer to support a federal agency background investigation and personnel vetting program. The selected candidate will design, develop, maintain, and optimize enterprise data solutions that support personnel vetting, adjudication, continuous vetting, and security clearance operations.
Key Responsibilities
Design, develop, maintain, and optimize data pipelines, data services, and data integration solutions within AWS GovCloud environments. Support migration of legacy data into modernized platform environments. Develop and maintain APIs, ETL/ELT processes, and file-based integrations with internal and external government systems. Perform data modeling, database design, schema modifications, and database performance optimization. Ensure data quality, accuracy, integrity, and consistency across Personnel Vetting Management, Adjudication, and Appeals datasets. Investigate and resolve data quality issues, coordinate remediation efforts with data providers, and implement preventative data quality controls. Support data governance activities, data requests, reporting requirements, and audit readiness efforts. Develop automated data validation, monitoring, and reconciliation processes. Support database replication, backup/recovery, disaster recovery, and continuity of operations activities. Collaborate with software engineers, cloud architects, DevSecOps engineers, product owners, and security teams within a SAFe Agile environment. Support CI/CD pipelines, automated testing, and secure software delivery practices. Create and maintain technical documentation, data dictionaries, architecture artifacts, and database design documentation. Support compliance with RMF, Zero Trust, NIST, DoD IL5, and cybersecurity requirements. Required Skills & Experience 5+ years of experience as a Data Engineer, Database Engineer, Data Integration Engineer, or related role. Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or related field. Experience designing and maintaining enterprise-scale relational databases. Strong SQL development and database optimization experience. Experience with AWS cloud services and cloud-native data architectures. Experience developing ETL/ELT pipelines and API integrations. Experience with data governance, data quality, and master data management concepts. Experience supporting Agile and DevSecOps environments. Strong troubleshooting, analytical, and problem-solving skills. Experience supporting federal government programs (DoD, Intelligence Community, DHS, or similar). Experience with AWS GovCloud and IL5 environments. Experience with PostgreSQL, Oracle, SQL Server, or cloud-native database services. Experience with Python, Java, or other modern programming languages. Experience with CI/CD pipelines, GitLab, Jenkins, or similar tools. Knowledge of RMF, NIST 800-53, Zero Trust, and cybersecurity compliance requirements. Familiarity with personnel security, adjudication, continuous vetting, or trusted workforce programs. Any of the following certifications: AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect, Certified Data Management Professional (CDMP), Security+ or equivalent DoD 8140/8570 certification, or Certified Scrum Practitioner or SAFe certification
Benefits
Comprehensive Medical, Dental, and Vision Plans (Healthcare benefits are 100% employer-paid for employees only) Life Insurance Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays) 401K Retirement Plan with employer match Professional Development Training Reimbursement