Data Engineer / Data Modeler

Essnova Solutions, Inc. is an SBA 8(a) and HUBZone-certified small business delivering technology and professional services to government clients, with a focus on healthcare, geospatial, and environmental solutions. As a Data Engineer / Data Modeler, you will play a pivotal role in designing and maintaining robust data architectures that enable large-scale analytics and support mission-critical government programs. You will collaborate closely with technical teams, security experts, and stakeholders to ensure data solutions are secure, scalable, and compliant with federal standards. Key responsibilities include: - 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 Required Qualifications: - 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 Preferred Qualifications: - 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 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 Originally posted on Himalayas