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Data Engineer Manager Jobs in West Virginia (NOW HIRING)

Senior Data Architect

Clarksburg, WV ยท On-site

$66 - $88.25/hr

Monitor and maintain database health through optimization, storage management, data purging, and ... SQL Developer * Other relational database systems * XML technologies, including one or more of the ...

WV ยท Hybrid

$50.25 - $67/hr

Support data scientists and AI engineers using Vertex AI, Gemini APIs, Model Garden, BigQuery ML ... Secret Manager, Cloud KMS, SCC, and/or Organization Policy Service. * Ability to obtain and ...

Senior Data Architect

Clarksburg, WV ยท Remote

$66 - $88.25/hr

Monitor and maintain database health through optimization, storage management, data purging, and ... SQL Developer * Other relational database systems * XML technologies, including one or more of the ...

Data Science and Data Engineering Job Qualifications: Skills: Change Management, Data Quality, Governance Framework, Governance Structures, Process Governance Certifications: None Experience: 10 + ...

WV ยท On-site

$93K - $115K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Analytics, Predictive Modeling, Project Management, Qualitative Data Analysis, Statistical Analysis Certifications: None Experience ...

... data, and a whole lot of collaboration. Whether you're a creative thinker, a strategic planner, a ... We are looking for a Platform Engineering Manager to join our dynamic and growing Platform ...

... data, and a whole lot of collaboration. Whether you're a creative thinker, a strategic planner, a ... We are looking for a Platform Engineering Manager to join our dynamic and growing Platform ...

WV ยท On-site

$72K - $97K/yr

BI Full 6C (T4) Job Family: Data Science and Data Engineering Job Qualifications: Skills ... No Job Summary The Strategy and Performance Group (SPG) is currently seeking a management ...

Showing results 21-40

Data Engineer Manager information

See West Virginia salary details

$34.5K

$100.4K

$137.4K

How much do data engineer manager jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data engineer manager in West Virginia is $100,422.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $106,400.00 per year, depending on experience, location, and employer.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What are the key skills and qualifications needed to thrive as a data engineer manager?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the most commonly searched types of Data Engineer jobs in West Virginia? The most popular types of Data Engineer jobs in West Virginia are:
What are popular job titles related to Data Engineer Manager jobs in West Virginia? For Data Engineer Manager jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in West Virginia look for? The top searched job categories for Data Engineer Manager jobs in West Virginia are:
Infographic showing various Data Engineer Manager job openings in West Virginia as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $100,422 per year, or $48.3 per hour.

Senior Data Architect

Data Intelligence LLC

Clarksburg, WV โ€ข On-site

$66 - $88.25/hr

Full-time

Re-posted 5 days ago


Job description

Data Intelligence, LLC is seeking a highly experienced Senior Data Architect - Data Science & Integration Support to support one of our federal law enforcement clients. This role is responsible for designing, developing, and maintaining enterprise database solutions, data processing systems, and data architecture that support the National Data Exchange (N-DEx) Data Science Environment and advanced analytics capabilities.
The Senior Data Architect will provide technical leadership in database architecture, data processing, automation, and analytics while supporting enterprise data quality initiatives, modernizing data management processes, and enabling secure information sharing across criminal justice systems. The ideal candidate possesses deep expertise in relational databases, data integration, scripting, cloud technologies, and enterprise data architecture within a highly secure federal environment. This position may be performed remotely or onsite in Clarksburg, West Virginia.
Key Responsibilities
  • Design, develop, and maintain enterprise database solutions supporting the N-DEx Data Science Environment and advanced analytics initiatives.
  • Develop, build, and maintain database utilities, scripts, and automation processes that improve system performance and operational efficiency.
  • Maintain, troubleshoot, and optimize enterprise databases by resolving synchronization issues, failures, access problems, and performance bottlenecks.
  • Automate routine and ad hoc reporting processes to improve reporting accuracy and operational efficiency.
  • Design, implement, and maintain tracking tools supporting enterprise projects, data integration initiatives, and data quality management.
  • Develop analytical tools and reporting solutions that support data ingest analysis, data management, and enterprise analytics.
  • Design and maintain data processing pipelines and automation projects supporting enterprise information sharing.
  • Provide subject matter expertise in enterprise data architecture, database design, and available data assets.
  • Monitor and maintain database health through optimization, storage management, data purging, and performance tuning.
  • Support and maintain the N-DEx Data Science Environment while enabling advanced analytics that identify systemic data quality issues resulting from policy, process, or technical changes.
  • Develop and maintain tools, models, and automation solutions that leverage modern data technologies and data science methodologies to generate actionable technical and business insights.
  • Develop, maintain, and update technical documentation, including:
    • Standard Operating Procedures (SOPs)
    • Technical documentation
    • Process workflows
    • White papers
    • Status reports
    • Dashboards
    • Program reports
  • Track project milestones, deliverables, and operational metrics while providing recurring reporting and updates to leadership.
  • Operate within the FBI CJIS Division's Scaled Agile Framework (SAFe) environment and actively participate in Agile Release Train (ART) activities.

Required Qualifications
Education
  • Bachelor of Science degree in Computer Science, Data Science, Information Systems, Software Engineering, Database Administration, Information Technology, or a related technical discipline.

Required Experience
Candidates must demonstrate experience in the following areas:
  • Enterprise database architecture, administration, and optimization.
  • Designing and maintaining database utilities, automation scripts, and performance enhancement solutions.
  • Database troubleshooting, synchronization, performance tuning, storage optimization, and data lifecycle management.
  • Data ingest, processing, transformation, and enterprise data integration.
  • Developing automated reporting solutions and enterprise data quality tracking tools.
  • Managing Virtual Machines (VMs) and Virtual Desktop Infrastructure (VDI) within cloud environments, including:
    • Amazon Web Services (AWS)
    • Microsoft Azure
  • Law enforcement data standards and Information Exchange Package Documentation (IEPD) specifications.
  • Software Procedural Languages (SPL), including:
    • PL/SQL
    • T-SQL
  • Software development using:
    • Java
    • Python
    • C#
    • C
    • .NET
  • Database platforms, including one or more of the following:
    • Microsoft Access
    • PostgreSQL
    • MySQL
    • Sybase
    • Firebird
    • c-tree Advanced Concurrent Engine (ACE)
    • SQL Developer
    • Other relational database systems
  • XML technologies, including one or more of the following:
    • XML
    • XSLT
    • XSD
    • DTD
  • Data standards, validation methodologies, and data quality tools.
  • Maintaining and troubleshooting enterprise data connections.
  • Developing and troubleshooting software tools and utilities using:
    • Python
    • PHP
    • JavaScript
  • Configuring and maintaining enterprise systems across:
    • Windows
    • Linux
    • Unix
  • Microsoft technologies, including one or more of the following:
    • Visual Basic for Applications (VBA)
    • Microsoft Access
    • Microsoft Excel
    • Microsoft Visio
  • Creating, implementing, and maintaining enterprise tracking tools supporting data integration and data quality initiatives.
  • Maintaining and upgrading enterprise data storage infrastructure and deploying data analysis tools and processes.

Preferred Qualifications
  • Experience supporting federal law enforcement or criminal justice information systems.
  • Familiarity with FBI Criminal Justice Information Services (CJIS) environments.
  • Experience supporting enterprise data science, analytics, and large-scale data modernization initiatives.
  • Experience with enterprise data governance, data quality management, and information sharing programs.
  • Experience working within a SAFe Agile environment.

Security Clearance
  • Active Top Secret Clearance is required.
  • Candidates must be able to maintain the required security clearance throughout employment.

Why Join Data Intelligence, LLC?
At Data Intelligence, LLC, we are committed to delivering innovative technology solutions that strengthen national security and public safety. Our professionals partner with federal agencies to modernize enterprise data environments, enhance advanced analytics capabilities, and improve secure information sharing across the criminal justice community. We foster a collaborative, mission-driven culture that values technical excellence, innovation, integrity, and continuous professional development while supporting some of the nation's most critical law enforcement missions.