Data Engineer / Data Modeler

Remote • Posted 10 hours ago • Updated 10 hours ago
Full Time
Remote
Fitment

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Job Details

Skills

  • Professional Services
  • FOCUS
  • Health Care
  • Geospatial Analysis
  • Pivotal
  • Collaboration
  • Query Optimization
  • Data Flow
  • Scalability
  • Normalization
  • Data Quality
  • Migration
  • Evaluation
  • Regulatory Compliance
  • Flowchart
  • Technical Writing
  • Workflow
  • System Integration
  • Project Lifecycle Management
  • Computer Science
  • Information Systems
  • Data Engineering
  • Database Administration
  • Data Architecture
  • Database
  • Analytical Skill
  • Performance Tuning
  • Caching
  • SQL
  • PostgreSQL
  • Microsoft SQL Server
  • Oracle
  • Relational Databases
  • Python
  • R
  • Windows PowerShell
  • Scripting
  • Amazon Web Services
  • Cloud Computing
  • FedRAMP
  • Cloud Security
  • Git
  • Analytics
  • Snow Flake Schema
  • Privacy
  • Presentations
  • SQL Azure
  • Storage
  • Microsoft Azure
  • Security Clearance
  • Health Insurance
  • Professional Development
  • Training

Summary

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10203814
  • Position Id: 383c986fce1792a52f7d53deb1133207
  • Posted 10 hours ago
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