Data Engineer

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🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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VivSoft

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2011

🏛️ Government

🤖 Artificial Intelligence

🏢 Enterprise

Government • Artificial Intelligence • Enterprise

VivSoft is a federal-focused technology company that builds productized, mission-focused software and services to accelerate government efficiency. The firm combines Data/AI and human-machine teaming, cloud/DevSecOps and software factories, and digital experience (UI/UX) to deliver scalable, templated solutions for government customers. VivSoft supports government contracting vehicles (OTAs, CSOs, SBIR), partners with prime contractors, and moves prototypes into production to solve complex, repeating mission problems.

📋 Description

• 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.

🎯 Requirements

• 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