Data Engineer, Data Modeler

Job Description:

• Designing and maintaining scalable database architectures for analytical workloads, ensuring optimal performance through indexing, partitioning, caching, and query tuning.
• Developing, automating, and maintaining data ingestion, transformation, validation, and loading pipelines to support high-quality data flows.
• Building reusable data connection modules and backend infrastructure components to streamline data operations and support future scalability.
• Supporting data preprocessing, normalization, and rigorous data quality validation processes.
• Contributing to cloud migration planning, governance, and evaluation of cloud solutions for security, compliance, interoperability, and performance.
• Producing comprehensive data models, architecture diagrams, flowcharts, and technical documentation for internal and external stakeholders.
• Utilizing PowerShell scripting and automation to enhance data engineering workflows and system integration.
• Collaborating with technical, security, and stakeholder teams throughout the project lifecycle to deliver high-impact data solutions.

Requirements:

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
• 5+ years of experience in data engineering, database administration, or data architecture
• Proven experience designing and optimizing scalable database architectures for analytical workloads, including query performance tuning (indexing, partitioning, caching)
• Hands-on experience building and maintaining automated data ingestion, transformation, validation, and loading pipelines
• Strong SQL skills with PostgreSQL, SQL Server, Oracle, or similar relational databases
• Proficiency in Python or R for data transformation, automation, or pipeline development
• Experience with PowerShell scripting and automation
• Experience with cloud platforms (Azure or AWS) for cloud-hosted data solutions
• Knowledge of FedRAMP requirements and cloud security best practices
• Proficiency using Git with documented development practices
• Experience designing data models for analytics (e.g., dimensional star/snowflake and/or normalized relational models)
• Experience collaborating with government program stakeholders and security/privacy personnel, and presenting technical deliverables to diverse audiences
• Eligibility to obtain and maintain a Tier 4 (High-Risk) Public Trust and HSPD-12/PIV credentialing
• Ability to travel approximately 10% as needed

Benefits:

• Comprehensive health insurance coverage (medical, dental, vision)
• 401(k) retirement plan with company matching
• Generous paid time off (PTO) and paid holidays
• Remote work flexibility
• Professional development and training opportunities
• Supportive and inclusive team culture