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Associate Data Engineer Jobs in West Virginia (NOW HIRING)

Kunai

Senior Cloud Data Engineer

Charleston, WV

$98K - $133K/yr

AWS Certified Solutions Architect (Associate or Professional) * AWS Certified Data Analytics Specialty or Database Specialty * * Google Professional Cloud Architect or Cloud Data Engineer Our success ...

GDIT

Databricks Administrator / Platform Engineer

WV · Remote

Databricks Certified Data Engineer Associate | Databricks - Databricks, Databricks Certified Data Engineer Professional | Databricks - Databricks Experience: 5 + years of related experience US ...

West Virginia

Programmer Analyst 3

Charleston, WV · On-site

$50K - $88K/yr

OR An Associate's degree from an accredited college, university or business school in computer science or related field including but not limited to business data programming, business systems ...

Govcio LLC

Journeyman Systems Engineer

Kearneysville, WV · On-site

$94K - $120K/yr

Relevant technical certifications preferred (e.g., CompTIA Linux+, AWS/Azure Administrator Associate, or entry-level Database/Data Engineering credentials). * Understanding of containerization ...

West Virginia

Programmer Analyst 3

Charleston, WV

$50K - $88K/yr

OR An Associate's degree from an accredited college, university or business school in computer science or related field including but not limited to business data programming, business systems ...

Govcio LLC

Senior Data Scientist

Kearneysville, WV · On-site

$133K - $169K/yr

... DevOps. * Strong foundational understanding of diverse IT domains including enterprise ... Scientist Associate, or Python/Data Science credentials). * Familiarity with geospatial data ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in West Virginia

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for associate data engineer in West Virginia is $14.51, according to ZipRecruiter salary data. Most workers in this role earn between $11.92 and $15.43 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an Associate Data Engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
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 Associate Data Engineer jobs in West Virginia? For Associate Data Engineer jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in West Virginia look for? The top searched job categories for Associate Data Engineer jobs in West Virginia are:
Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in West Virginia as of July 2026, with employment types broken down into 1% As Needed, 66% Full Time, 29% Part Time, 2% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $30,172 per year, or $14.5 per hour.
Senior Cloud Data Engineer

Senior Cloud Data Engineer

Kunai

Charleston, WV

$98K - $133K/yr

Full-time

Posted 5 days ago

Job description

Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world's relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered.

This is a chance to work at the center of a complex and consequential cloud transformation for a major financial services org. We are looking for sharp, delivery-focused data consultants to lead the migration of a large data platform from Google Cloud Platform to AWS. You will not be reviewing architecture diagrams from the sidelines; you will be building the pipelines, designing the schemas, and making the hard calls that keep petabytes of critical financial data moving accurately and on schedule.

If you thrive in technically demanding environments, love solving gnarly data problems, and want your fingerprints on an enterprise-scale transformation, this engagement is for you.

What You Will Do

  • Own end-to-end data migration execution: Drive the full OLAP/OLTP migration from GCP to AWS: data mapping, schema conversion, and hands-on lift-and-shift execution.
  • Build rock-solid synchronization pipelines: Design and implement data sync pipelines with tight SLAs for latency, consistency, and error recovery. Zero ambiguity on failure modes.
  • Bring the target architecture to life: Implement the AWS data architecture end to end, including driver personalization engines and production-grade dashboarding solutions.
  • Migrate historical and time-series data at scale: Execute large-volume historical data migrations with rigorous integrity checks and minimal disruption to live operations.
  • Build observability from the ground up: Create monitoring, alerting, and reconciliation frameworks that give the team real-time confidence in cross-cloud data fidelity.
  • Elevate the team around you: Share your expertise freely. Mentor peers, unblock blockers, and raise the technical floor of the whole engagement.
  • Partner closely with the client: Work shoulder-to-shoulder with stakeholders to nail data governance, access patterns, and analytics requirements.

What You Bring

Data Migration

  • BigQuery to Redshift, Cloud SQL to Aurora/RDS: you have done this before and have the scars to prove it
  • Data mapping, schema conversion, and ETL/ELT pipeline design at enterprise scale

OLAP and OLTP Systems

  • Dimensional modeling: star and snowflake schemas, done right
  • Transactional database optimization and time-series data migration

Data Synchronization

  • CDC (Change Data Capture), real-time replication, latency tuning
  • Strong opinions on eventual vs. strong consistency, and when each applies
  • Battle-tested error handling and retry strategies

AWS Data Services

  • Redshift, Aurora PostgreSQL, DMS, Glue, Kinesis, MSK (Kafka), Lambda, S3, Lake Formation

Analytics and Personalization

  • Amazon QuickSight, Grafana, dashboarding frameworks, driver personalization engines

GCP

  • BigQuery, Cloud Spanner, Dataflow, Pub/Sub, Cloud SQL: you know the terrain you are leaving

Infrastructure as Code and CI/CD

  • Terraform, CloudFormation, and automated CI/CD for data pipelines

Certifications

Cloud certifications are a plus but are not required. Any of the following, or equivalent credentials from a major cloud provider, are valued:

  • AWS Certified Solutions Architect (Associate or Professional)
  • AWS Certified Data Analytics Specialty or Database Specialty
    • Google Professional Cloud Architect or Cloud Data Engineer

Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning.
We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry.

Minimum Degree Required:

  • Bachelor's Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required