Data Engineer / Data Modeler

About This Opportunity

We are representing a government technology services contractor in their search for an experienced Data Engineer / Data Modeler. Our client specializes in delivering secure, mission-critical data solutions for federal healthcare and environmental programs. This is a remote opportunity where you'll architect scalable data systems that support large-scale analytics while meeting rigorous federal security and compliance standards.

Through Get A Job.ai, you'll apply once and our talent team will represent you throughout the hiring process with our confidential client.

Responsibilities

• Design and maintain scalable database architectures optimized for analytical workloads, implementing indexing, partitioning, caching, and query tuning strategies
• Develop, automate, and maintain data ingestion, transformation, validation, and loading pipelines that ensure high-quality data flows
• Build reusable data connection modules and backend infrastructure components to streamline operations and enable future scalability
• Support data preprocessing, normalization, and rigorous quality validation processes
• Contribute to cloud migration planning, governance frameworks, and evaluation of cloud solutions for security, compliance, interoperability, and performance
• Produce comprehensive data models, architecture diagrams, flowcharts, and technical documentation for diverse stakeholder audiences
• Utilize PowerShell scripting and automation to enhance data engineering workflows and system integration
• Collaborate with technical teams, security experts, and government program stakeholders throughout project lifecycles

What We're Looking For

Required:

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or 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 (dimensional star/snowflake and/or normalized relational models)
• Experience collaborating with government program stakeholders and security/privacy personnel, 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

Preferred:

• Hands-on experience with Azure Data Factory and at least two of the following: Azure SQL, Azure Blob Storage, Azure Functions
• Active Public Trust clearance

How We Work with You

When you apply through Get A Job.ai, our recruiting team will review your background and conduct an initial screening. If there's a strong match, we'll submit your profile to our client and coordinate all interview stages on your behalf. Please do not contact the employer directly—we manage the entire process to ensure the best presentation of your candidacy.

Pay

Compensation details will be discussed during the screening process based on your experience and our client's approved budget.

Benefits through the client include comprehensive health insurance (medical, dental, vision), 401(k) with company matching, generous PTO and paid holidays, remote work flexibility, and professional development opportunities.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome candidates from all backgrounds and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.