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Entry Level Data Engineering Jobs in West Virginia

CADD Techncian

Scott Depot, WV · On-site

$20 - $30/hr

Triad Engineering Inc. has an immediate need for Staff CADD Technician in our St. Albans, WV office ... entry level position will operate Computer-Aided Design computer systems to create, update and ...

Career Advancement What You'll Do This entry level position will operate Computer-Aided Design ... engineer * Compiles and interprets various types of data to support design and drafting tasks

Distribution Designer

Ceredo, WV · On-site

$20 - $22/hr

Entry-Level Design Technician On-Site ABOUT THE ROLE Our client is seeking an Entry-Level Design Technician to support engineering projects through drafting, design, and field data collection. In ...

EIT - Roadway Engineer

Charleston, WV · On-site

$75K - $99K/yr

GAI Consultants, Inc is seeking an Entry Level Engineer to work within our Transportation Business ... engineering-intern (EI) certification. Technical Responsibilities * Collects data and gathers ...

EIT - Roadway Engineer

Bridgeport, WV

$78K - $104K/yr

GAI Consultants, Inc is seeking an Entry Level Engineer to work within our Transportation Business ... engineering-intern (EI) certification. Technical Responsibilities * Collects data and gathers ...

Production Tech-Spencer

Spencer, WV

$16 - $20/hr

Performs entry level tasks involved in the manufacturing of rubber insulation and engineered foam ... Reads and understands safety data sheets, and the daily production plan * Track production on ...

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Entry Level Data Engineering information

See West Virginia salary details

$8

$15

$24

How much do entry level data engineering jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for entry level data engineering in West Virginia is $15.67, according to ZipRecruiter salary data. Most workers in this role earn between $12.64 and $16.92 per hour, depending on experience, location, and employer.

What is an entry level data engineer?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an entry level data engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

What are the key skills and qualifications needed to thrive as an entry level data engineer?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Are entry level data engineers still in demand?

Entry level data engineers are in high demand due to the increasing reliance on data-driven decision making across industries. Skills in SQL, Python, cloud platforms, and data pipeline tools like Apache Spark are valuable for these roles, which often offer strong job growth prospects.

What does an entry level data engineer do?

An entry level data engineer designs, builds, and maintains data pipelines and infrastructure to support data collection, storage, and processing. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making. This role often involves collaborating with data scientists and analysts to optimize data workflows and improve data quality.

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 Entry Level Data Engineering jobs in West Virginia?

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

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

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

Infographic showing various Entry Level Data Engineering job openings in West Virginia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $32,591 per year, or $15.7 per hour.

NewForce Entry Level Data Analyst (2026)

Generation West Virginia

Charleston, WV

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


Job description

About Inspira Analytics

Inspira Analytics is a data consulting firm based in Charleston, WV, helping small to mid-sized businesses unlock the power of their data. From basic reporting to advanced visualization and forecasting, we make complex information simple and strategic. We serve a wide range of industries including healthcare, logistics, and retail-providing clean, clear, and customized analytics that meet our clients where they are. We are also passionate about workforce development in Appalachia. Our team includes local talent trained in modern analytics tools and techniques, and we invest heavily in early-career professionals through mentorship and hands-on learning.

Mission: To empower organizations with accessible, accurate, and actionable data insights that drive smarter decisions and sustainable growth. 

Vision: To be the most trusted partner in transforming raw data into meaningful intelligence-one insight at a time.

What we do:

  • Custom dashboards and reporting (Tableau, Power BI)
  • SQL and Python data pipelines
  • Data cleaning and integration
  • Data analytics training and upskilling
Job Summary

We are seeking a highly motivated and detail-oriented Junior Data Analyst to join our data-driven team. As a Junior Data Analyst, you will play a crucial role in supporting data-related activities within our organization. You will work closely with senior data analysts and other team members to collect, analyze, and present data insights that inform decision-making and drive business growth. This is an excellent opportunity for a recent graduate or entry-level professional to gain valuable experience in the field of data analysis.

Junior Data Analyst Duties and Responsibilities
  • Data Collection and Cleaning: Collect and compile data from various sources, ensuring data accuracy and completeness. Perform data cleaning and transformation as necessary to prepare it for analysis.
  • Data Analysis: Assist in conducting data analysis using statistical methods, data visualization tools, and data analysis software. Summarize findings in clear and concise reports.
  • Data Visualization: Create visually appealing and informative charts, graphs, and dashboards to present data insights to stakeholders. Use tools such as Tableau, Power BI, or Excel for visualization.
  • Report Generation: Prepare regular and ad-hoc reports to communicate key metrics and findings to the team and management. Ensure reports are accurate and delivered on time.
  • Data Quality Assurance: Help maintain data quality standards by identifying and resolving data discrepancies or inconsistencies. Collaborate with other team members to establish data quality protocols.
  • Collaboration: Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand data requirements and deliver actionable insights.
  • Research and Learning: Stay up-to-date with industry trends and best practices in data analysis. Continuously expand your knowledge and skills in data analytics techniques and tools.

Requirements

  • Strong analytical skills and a passion for working with data.
  • Proficiency in data analysis tools and programming languages such as Excel, SQL, Python, or R.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Excellent communication skills, with the ability to translate complex data into understandable insights.
  • Detail-oriented and capable of maintaining data accuracy and integrity.
  • Strong problem-solving skills and the ability to think critically.
  • Highly organized and able to manage multiple tasks and deadlines effectively.
  • Team player with a collaborative mindset and the ability to work well in a diverse team environment.
  • Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis.

Benefits

  • 401(k)
  • Dental insurance
  • Disability insurance
  • Health insurance
  • Paid time off
  • Vision insurance
  • Bonus opportunities