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Data Engineer Jobs in Wheeling, WV (NOW HIRING)

ICF

Data Engineer (Remote)

Glen Dale, WV · Remote

$96K - $116K/yr

S. for three (3) full years out of the last five (5) years * 6+ years of experience in data engineering, data migration, or data integration roles * Proven experience executing large-scale data ...

Form Energy

Data & Systems Technician

Weirton, WV · On-site

Partner with manufacturing, quality, engineering, software, and maintenance teams to translate operational needs into scalable data and reporting solutions. * Monitor system performance and ...

Form Energy

Data & Systems Technician

Weirton, WV · On-site

Partner with manufacturing, quality, engineering, software, and maintenance teams to translate operational needs into scalable data and reporting solutions. * Monitor system performance and ...

Form Energy

MRB Engineer

Weirton, WV · On-site

Role Description The MRB Engineer is a critical operational role at Form Energy, reporting directly ... This is a hands-on, data-driven role that requires a blend of process discipline and a continuous ...

Form Energy

MRB Engineer

Weirton, WV · On-site

Role Description The MRB Engineer is a critical operational role at Form Energy, reporting directly ... This is a hands-on, data-driven role that requires a blend of process discipline and a continuous ...

Form Energy

Manufacturing Engineer II

Weirton, WV · On-site

$71K - $91K/yr

Analyze manufacturing data to identify trends, troubleshoot issues, and improve quality, yield, and ... Experience analyzing engineering or manufacturing data using Excel, JMP, Minitab, Python, or ...

Form Energy

Manufacturing Engineer II

Weirton, WV · On-site

$71K - $91K/yr

Analyze manufacturing data to identify trends, troubleshoot issues, and improve quality, yield, and ... Experience analyzing engineering or manufacturing data using Excel, JMP, Minitab, Python, or ...

Form Energy

Quality Engineer

Weirton, WV · On-site

$70K - $90K/yr

Role Description We are hiring a Quality Engineer to contribute to continual product and process ... Proficiency with data analysis tools such as JMP, R, Minitab, or equivalent * Ability to manage ...

Form Energy

Quality Engineer

Weirton, WV · On-site

$70K - $90K/yr

Role Description We are hiring a Quality Engineer to contribute to continual product and process ... Proficiency with data analysis tools such as JMP, R, Minitab, or equivalent * Ability to manage ...

Gulfport Energy

Civil Engineer

Saint Clairsville, OH · On-site

The Civil Engineer will plan, design, and cost track construction and maintenance of oil and gas ... Conduct site investigations and analyze data (maps, reports, tests, drawings). * Assist in ...

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All JobsData Engineer JobsData Engineer Jobs in Wheeling, WV

Data Engineer information

See Wheeling, WV salary details

$44.3K

$129.2K

$176.8K

How much do data engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data engineer in Wheeling, WV is $129,223.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What job categories do people searching Data Engineer jobs in Wheeling, WV look for?

The top searched job categories for Data Engineer jobs in Wheeling, WV are:

What cities near Wheeling, WV are hiring for Data Engineer jobs?

Cities near Wheeling, WV with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Wheeling, WV as of August 2026, with employment types broken down into 83% Full Time, 8% Temporary, and 9% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $129,223 per year, or $62.1 per hour.

Data Engineer (Remote)

ICF

Glen Dale, WV • Remote

$96K - $116K/yr

Full-time

Re-posted 23 days ago

Job description

This role supports the large-scale modernization of legacy systems by leading the migration of documentation and records into a cloud-based environment. The position focuses on transforming document-heavy workflows into structured, digital processes, while enabling seamless data integration across systems using MuleSoft APIs. The work directly supports enhanced analytics, reporting, and operational efficiency for a mission-critical enterprise platform.


Responsibilities

  • Lead end-to-end data migration from legacy systems to cloud platforms, including data mapping, transformation, and validation (Salesforce-centric).

  • Analyze and convert unstructured, document-heavy data into structured, analytics-ready formats using Document AI.

  • Implement data quality processes (cleansing, deduplication, reconciliation) to ensure accuracy and completeness post-migration.

  • Support phased migration and system cutover with minimal operational disruption.

  • Design, build, and maintain MuleSoft integrations, including API development for real-time and batch data exchange.

  • Apply data transformation logic (e.g., DataWeave) and troubleshoot integration/data flow issues across systems.

  • Contribute to Salesforce Data 360 implementation, including data harmonization, identity resolution, and unified profiles.

  • Ensure proper data ingestion, lineage, metadata management, and traceability across the ecosystem.

  • Ensure compliance with data governance, privacy, and security requirements (e.g., PII).

  • Collaborate in Agile teams; support testing, documentation, and audit readiness across migration and integration efforts.


Required Qualifications

  • U.S. Citizenship required due to federal contract requirements

  • Ability to obtain and maintain a Public Trust clearance

  • Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years

  • 6+ years of experience in data engineering, data migration, or data integration roles

  • Proven experience executing large-scale data migration efforts, including legacy system transformation

  • 2+ years hands-on experience with Salesforce data migrations, including data modeling, data loading (e.g., Data Loader, APIs), and managing relational datasets

  • 2+ years' experience implementing data quality, validation, and reconciliation processes during migration efforts

Preferred Qualifications

  • Current or recent Public Trust or active Secret clearance

  • Experience supporting DHS or other federal agencies

  • 1+ year Experience using Informatica (e.g., PowerCenter, IICS) for ETL/ELT development, data mapping, and pipeline orchestration

  • 2+ years proficiency in SQL and relational data modeling concepts

  • Experience working with both structured and unstructured data, including document-based records

  • 1+ year Experience supporting or developing MuleSoft integrations, including API development, data transformations, and system-to-system data flows

  • 1+ years experience with MuleSoft Anypoint Platform, including DataWeave and API-led connectivity patterns

  • Familiarity with cloud-based SaaS platforms and distributed data architectures

  • Familiarity with metadata management, data lineage, and audit frameworks

  • Experience working in federal or highly regulated environments

  • Experience supporting Agile delivery teams and cross-functional collaboration

  • Experience supporting large-scale, document-centric system migrations

  • Familiarity with Docusign eSignature and Contract Lifecycle Management (CLM) products a plus

  • Experience with Salesforce Data 360 (Data Cloud), including data harmonization and identity resolution

  • Experience with Salesforce Document AI / Intelligent Document Processing (IDP) tools for extracting structured data from documents

  • Understanding of data governance, security, and compliance requirements, particularly for sensitive data (e.g., PII)

#ICFcleared


Bot and Third-Party Applications

Please note that this application must be submitted directly by the applicant for consideration.Failure to do so may result in the application being excluded for consideration.Applicants needing an accommodation for disability or religious purposes in connection with the application process should contactCandidateaccommodation@icf.comfor assistance.

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$98,614.00 - $167,644.00Nationwide Remote Office (US99)

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