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Data Bi Engineer Jobs in Bluefield, WV (NOW HIRING)

Lead Data Engineer (BI/ETL) (W2)

Glen Lyn, VA · Remote

$104K - $138K/yr

Lead Data Engineer (BI/ETL) Location: Remote (USA) Note: Need only USC/GC This role is for an Engineering Leader who will guide a small, high-performing team of data engineers, analysts, and BI ...

Analyze equipment failures, downtime events, and maintenance data to identify trends and improve ... Experience using Power BI for reporting, KPI tracking, and trend analysis preferred. * Proficiency ...

Review emergency work order data and equipment performance metrics to develop reliability ... Experience with Power BI for KPI development, reporting, trend analysis, and equipment performance ...

Bachelor's degree in Business, Engineering, Data Analytics, or similar field * 5+ years of ... Advanced skills with BI tools (Power BI, Snowflake), Excel, SAP, and Salesforce CRM. * Experience ...

Our story is one of global collaboration built on a foundation of precision engineering, innovation ... Knowledge of statistics, data collection and analysis. * Knowledge of federal and state regulations.

EHS Manager (13424)

Wytheville, VA · On-site

$68K - $103K/yr

Our story is one of global collaboration built on a foundation of precision engineering, innovation ... Knowledge of statistics, data collection and analysis. * Knowledge of federal and state regulations.

Data Bi Engineer information

See Bluefield, WV salary details

$41.8K

$121.9K

$166.8K

How much do data bi engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data bi engineer in Bluefield, WV is $121,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $129,200.00 per year, depending on experience, location, and employer.

What is a Data BI engineer?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What are the key skills and qualifications needed to thrive as a Data BI engineer?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.

How does a Data BI engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

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

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

Lead Data Engineer (BI/ETL) (W2)

Snowrelic Inc

Glen Lyn, VA • Remote

$104K - $138K/yr

Contractor

Re-posted 22 days ago


Job description

Role: Lead Data Engineer (BI/ETL) 
Location: Remote (USA)
 
Note: Need only USC/GC
 
This role is for an Engineering Leader who will guide a small, high-performing team of data engineers, analysts, and BI developers within a large enterprise data organization. The focus is on delivering impactful data and analytics projects, including building data pipelines, modernizing legacy systems, and delivering executive dashboards. The right candidate combines strong technical leadership with hands-on abilities, ensuring seamless project execution from strategy to delivery. 
Top 4 Skills: 
    1. Data Engineering Leadership – Proven experience managing and mentoring technical teams. 
    1. Modern Data Stack Expertise – Snowflake, SQL, Python, ETL tools (dbt, Airflow). 
    1. BI & Analytics Development – Experience with Power BI, Tableau, or similar tools. 
    1. Enterprise Data Strategy Alignment – Strong stakeholder communication and alignment with business goals. 
Responsibilities: 
    • Lead and mentor a small cross-functional team handling 3–4 simultaneous projects. 
    • Own project delivery from design through deployment. 
    • Engage in technical architecture and problem-solving discussions. 
    • Oversee projects involving: 
      • Data pipeline development and optimization. 
      • BI dashboard creation and maintenance. 
      • Modernization of legacy data/reporting systems. 
      • Supporting ad-hoc requests from leadership. 
    • Collaborate with leadership to align tech work with business strategy. 
    • Promote best practices in engineering and data operations. 
Qualifications: 
    • 7+ years in software/data engineering, including 2+ years in a lead role. 
    • Proficient in Snowflake, SQL, Python, and modern ETL tools (dbt, Airflow). 
    • Experience with BI tools like Power BI, Tableau, or Looker. 
    • Strong multitasking skills with the ability to balance strategic and tactical work. 
    • Excellent communicator with proven stakeholder collaboration experience. 
    • Ability to lead remote teams effectively and foster team growth. 
Preferred: 
    • Experience with cloud platforms (GCP, AWS, Azure). 
    • Background in enterprise digital/data transformations. 
    • Exposure to ML or data science pipelines is a plus.