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Data Engineering Jobs in West Virginia (NOW HIRING)

Coalition, Inc.

$163K/yr

Pipeline Engineering: Build scalable ELT pipelines using Snowflake and dbt, ensuring high data quality and observability . * Monitoring & Observability: Define and implement critical SLIs ...

GDIT

Senior Databricks Platform Engineer

WV · On-site +1

$94K - $129K/yr

Data Science and Data Engineering Job Qualifications: Skills: Databricks Lakeflow, Databricks Platform, Data Engineering, Data Ingestion Certifications: None Experience: 10 + years of related ...

Cengage Learning

Sr Analytics Architect

Charleston, WV

$62.25 - $83.25/hr

Minimum 10 years of experience in data architecture, data engineering, or enterprise data platform development. * Demonstrable experience working as an Analytics / Data Architect or in a similar role.

GDIT

Data Incident and Problem Management Analyst

WV · On-site +1

Data Science and Data Engineering Job Qualifications: Skills: Data Management Analysis (Inactive), Data Security, Incident Resolution Certifications: None Experience: 5 + years of related experience ...

GDIT

Database Engineer/ Database Administrator

WV · On-site +1

Data Science and Data Engineering Job Qualifications: Skills: Database Performance Tuning, PostgreSQL Administration, Python (Programming Language) Certifications: None Experience: 5 + years of ...

GDIT

Data Analysis Manager

WV · On-site +1

Data Science and Data Engineering Job Qualifications: Skills: Analytical Thinking, Data Analytics, Team Leadership Certifications: None Experience: 5 + years of related experience US Citizenship ...

GDIT

Sr. Healthcare Data Scientist (Medicare/Medicaid)

WV · On-site +1

$97K - $132K/yr

Data Science and Data Engineering Job Qualifications: Skills: Agentic AI, Big Data, Generative AI, Machine Learning Methods, Python (Programming Language) Certifications: None Experience: 5 + years ...

Thrivent Financial

Manager Engineering

Charleston, WV · On-site

The ideal candidate brings hands-on experience with AWS cloud, Python, Lambda, and Postgres, and demonstrates technical expertise in data engineering and solution architecture. Success in this ...

Data Intelligence LLC

Senior Data Architect

Clarksburg, WV · On-site

$66 - $88.25/hr

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 ...

Data Intelligence LLC

Senior Data Architect

Clarksburg, WV · Remote

$66 - $88.25/hr

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 ...

Govcio LLC

Journeyman Systems Engineer

Kearneysville, WV · On-site

$94K - $120K/yr

Systems engineering experience focused on database infrastructure, data platforms, or enterprise software systems. * Proven experience implementing or maintaining big data systems, automated ETL/ELT ...

Govcio LLC

Journeyman Systems Engineer

Kearneysville, WV · On-site

$94K - $120K/yr

Systems engineering experience focused on database infrastructure, data platforms, or enterprise software systems. * Proven experience implementing or maintaining big data systems, automated ETL/ELT ...

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All JobsData Engineering JobsData Engineering Jobs in West Virginia

Data Engineering information

See West Virginia salary details

$35.6K

$127.8K

$188.5K

How much do data engineering jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data engineering in West Virginia is $127,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $131,600.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What are the most commonly searched types of Data Engineering jobs in West Virginia?

The most popular types of Data Engineering jobs in West Virginia are:

What are popular job titles related to Data Engineering jobs in West Virginia?

For Data Engineering jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Data Engineering jobs in West Virginia look for?

The top searched job categories for Data Engineering jobs in West Virginia are:

What cities in West Virginia are hiring for Data Engineering jobs?

Cities in West Virginia with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in West Virginia as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $127,752 per year, or $61.4 per hour.

Data Engineer, Security

On-site, Remote

Coalition, Inc.
Real Estate • 11 - 50 employees
Learn more about Coalition, Inc.external

$163K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 6 days ago

Job description

About the role

We are hiring a Data Engineer to build our data platform across our Cyber Security value chain. This includes Security and Sales management. You will be the go-to partner for Stakeholders, Research team and Data Science team requiring Cyber Security related Data.

As a Data Engineer, you will design and develop our data lifecycle, transforming raw data into high-performance data products. You will build and scale our Medallion Architecture on Snowflake, utilizing dbt to ensure our data is clean, modeled, and ready for both business intelligence in Looker and advanced AI/ML applications.

Responsibilities
  • Data Modeling & Architecture: Design and implement robust Star Schema models within a Medallion Architecture (Bronze/Silver/Gold) to support complex Cyber Insurance and Cyber Security analytics .
  • Pipeline Engineering: Build scalable ELT pipelines using Snowflake and dbt, ensuring high data quality and observability .
  • Monitoring & Observability: Define and implement critical SLIs-specifically around data freshness, volume, and schema integrity. Build automated alerting to ensure SLOs are met .
  • BI Enablement: Develop and maintain the LookML semantic layer for business stakeholders .
  • Security & Compliance: Implement data masking, RBAC, and secure data handling practices .
  • Engineering Excellence & Mentorship: Act as a technical peer helping the team level up through Code Reviews and sharing dbt/Python best practices 
  • AI Integration: Build feature stores and data foundations for AI-driven risk scoring and automated underwriting.
Skills and Qualifications
  • BI Tools: Experience with Looker (LookML) .
  • Modern Tooling: Active user of Cursor or other AI-assisted coding environments .
  • Industry Experience: Prior experience in Cybersecurity or Cyber Insurance .
  • AI/ML Interest: Experience building data foundations for AI Agents.
Compensation

Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $110,900/year in our lowest geographic market up to $163,350/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed.

Perks
  • 100% medical, dental and vision coverage
  • Flexible PTO policy
  • Annual home office stipend and WeWork access
  • Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!
  • Competitive compensation and opportunity for advancement

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