Search Jobs

Our client is seeking an experienced Data Modeler to support the design, development, and maintenance of enterprise data infrastructure within a complex engineering and mission systems environment. This role will focus on creating and maintaining data models that support data pipelines, analytics, reporting, operational systems, and enterprise-wide data management strategies.

The ideal candidate will have strong experience with data architecture, data governance, data integration, and large-scale data environments, along with the ability to collaborate effectively across technical and business teams.

• Design and implement conceptual, logical, and physical data models to accurately represent organizational data
• Collaborate with business analysts, data architects, developers, and stakeholders to gather requirements and ensure alignment between business and technical needs
• Create and maintain entity-relationship diagrams (ERDs), dimensional models, metadata repositories, and data documentation
• Maintain centralized data dictionaries, naming conventions, coding standards, and data governance processes
• Optimize data models and database structures to improve performance, scalability, reusability, and efficiency
• Support data integration across multiple systems and environments
• Perform reverse engineering of existing databases and data structures when necessary
• Ensure data integrity, consistency, reliability, and accessibility for reporting and analytics purposes
• Implement data validation and quality control processes
• Optimize data pipelines for speed, scalability, and operational performance
• Collaborate with data scientists, analysts, and development teams to support reporting and business intelligence initiatives
• Troubleshoot data infrastructure issues, monitor system performance, and support ongoing maintenance activities
• Support configuration management, documentation, and change impact analysis for enterprise data architecture models
• Assist with identifying Authoritative Sources of Truth (ASOT) and supporting integrations into cloud and reporting environments

Qualifications
US Citizenship is required.

• Bachelor’s degree in Data Management, Data Science, Mathematics, Statistics, or related field required
• Master’s degree in Mathematics, Statistics, Business, Engineering, Physical/Applied Sciences, or related discipline preferred
• Minimum of 6 years of relevant experience required
• 10 or more years of relevant experience preferred
• Strong experience designing and maintaining enterprise data models and process flows
• Experience working with large datasets, complex systems, and enterprise data environments
• Strong understanding of data warehousing concepts, dimensional modeling, normalization techniques, and metadata management
• Experience with cloud-based data services such as AWS or Azure
• Strong understanding of data governance and data quality principles
• Excellent analytical, troubleshooting, and problem-solving skills
• Experience working within Agile or Scrum environments

Preferred Qualifications

• Experience with structured problem-solving methodologies
• Knowledge of engineering and manufacturing environments
• Experience supporting development teams within technical organizations
• Knowledge of Agile metrics and reporting processes
• Experience with Scrum or Agile project management
• Experience with big data technologies such as Hadoop or Spark preferred

Benefits:

• Health Insurance
• 401k

Pay Range: $58.00 - $63.00 per hour (Depending on experience and qualifications)

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from HEPCO, Inc and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.hepcoinc.com/privacy/

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, marital status, national origin, age, veteran status, disability, or any other protected class.