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Data Engineer Business Analyst Jobs (NOW HIRING)

Brooksource

Data Engineer

Dallas, TX · On-site

$55 - $60/hr

Analytics Engineer/Data Engineer Dallas, TX Hybrid: 3 days a week, 2 Days Remote $55-$60/hour ... into analytics-ready datasets, and enabling next-generation AI capabilities across the business.

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition #710 Locations USA-VA-Arlington Posting Date 06/12 ... This role sits within an analytics-focused business unit supporting IRS enforcement, compliance ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... This role sits within an analytics-focused business unit supporting IRS enforcement, compliance ...

Centstone

Data Engineer

Sunnyvale, CA · On-site

$75 - $85/hr

Data Engineer Location: Sunnyvale, California (Onsite) Contract: 6 -12+ Months Experience: 12 - 15 ... Collaborate with cross-functional teams to deliver business intelligence and analytics solutions.

MinneAnalytics

$70 - $80/hr

Role: Data Engineer Location: Hybrid in Bloomington, MN preferred; approximately 1-2 days onsite ... Partner with business analysts and stakeholders to translate data requirements into scalable ...

ShortList Recruitment Limited

The Business Analyst will act as the bridge between stakeholders and the BI team, owning ... Data Engineering, Power Platform, and AI\/ML projects. The role does require you to be on\-site in ...

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Data Engineer Business Analyst information

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How much do data engineer business analyst jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data engineer business analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is a data engineer business analyst?

Data Engineer Business Analysts are professionals who bridge the gap between data engineering and business analysis. They design, build, and maintain data pipelines and infrastructure, while also interpreting and analyzing data to inform business decisions. Their role involves understanding business requirements, translating them into technical solutions, and ensuring that data is accurate, accessible, and useful for stakeholders. By combining technical and analytical skills, they help organizations make data-driven decisions and improve business processes.

What are the key skills and qualifications needed to thrive as a data engineer business analyst?

To thrive as a Data Engineer Business Analyst, you need a solid understanding of data modeling, SQL, analytics, and business process analysis, typically supported by a degree in computer science, information systems, or a related field. Familiarity with ETL tools, data warehousing platforms, and business intelligence systems like Tableau or Power BI, as well as certifications such as AWS Certified Data Analytics or Google Data Engineer, are highly valuable. Strong problem-solving abilities, effective communication, and cross-functional collaboration skills help bridge technical and business requirements. These competencies ensure that data-driven solutions are accurately designed, implemented, and aligned with organizational goals.

How do data engineer business analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Business Analysts often act as a bridge between technical and business teams, working closely with data scientists to ensure data pipelines deliver clean, usable data for analysis and model building. They regularly consult with business stakeholders to understand requirements and translate them into technical specifications, ensuring that data solutions align with organizational goals. Effective collaboration skills are essential, as the role involves facilitating communication, clarifying needs, and prioritizing tasks across departments. This teamwork fosters efficient project delivery and ensures data-driven solutions meet business objectives.

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

AspectData Engineer Business AnalystData Analyst
Required CredentialsBachelor's in CS, IT, or related; often certifications in data toolsBachelor's in Statistics, Math, or related; certifications in data visualization or analysis tools
Work EnvironmentData warehouses, cloud platforms, data pipelinesData visualization tools, spreadsheets, reporting platforms
Employer & Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail
Common Search & ComparisonOften compared for data infrastructure and analysis rolesCompared for reporting and insights roles

The Data Engineer Business Analyst focuses on building data infrastructure and analyzing data to support business decisions, while the Data Analyst primarily interprets data to generate reports and insights. Both roles require strong analytical skills but differ in technical depth and focus areas.

Can a data engineer business analyst become a data engineer?

A data engineer business analyst can transition to a data engineer role by gaining technical skills in data pipeline development, programming languages like Python or SQL, and familiarity with tools such as Hadoop or Spark. Relevant experience in data modeling, ETL processes, and certifications can facilitate this career shift.

Who earns more, a data engineer or a business analyst?

Data engineers generally earn higher salaries than business analysts due to their specialized skills in data architecture, programming, and working with tools like SQL, Python, and cloud platforms. Business analysts typically focus on data interpretation, reporting, and process improvement, which usually commands a slightly lower salary. Salary differences can vary based on experience, industry, and location, but data engineering roles tend to be more highly compensated overall.

What cities are hiring for Data Engineer Business Analyst jobs?

Cities with the most Data Engineer Business Analyst job openings:

What states have the most Data Engineer Business Analyst jobs?

States with the most job openings for Data Engineer Business Analyst jobs include:

What are popular job titles related to Data Engineer Business Analyst jobs?

For Data Engineer Business Analyst jobs, the most frequently searched job titles are:

Infographic showing various Data Engineer Business Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Data Center Business Analyst

Dallas, TX • On-site

VSDL Technologies INC
See more jobs at VSDL Technologies INCexternal

$70 - $72/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Center Business Analyst

Location: Dallas-Fort Worth (DFW), TX
Work Model: In Person – 5 Days/Week Onsite
Travel: Local DFW Data Center Locations as Needed
Duration: 6 Months + Extension
Bill Rate: $70–72/hr
VISA: No Constraints

Job Description

We are seeking an experienced Data Center Business Analyst to support data center projects and operations. The Business Analyst will work closely with Project Managers, Data Center Operations, Facilities, Engineering, and other stakeholders to gather requirements, document processes, track project activities, and develop reporting and KPIs.

The ideal candidate should have experience supporting Data Center or IT Infrastructure projects, along with strong knowledge of JIRA, Confluence, DCIM tools, Microsoft Project, Visio, and Microsoft Office

Required Qualifications
  • 3+ years of Business Analyst experience supporting Data Center, Infrastructure, or Technology projects.
  • Experience with Data Center Infrastructure Management (DCIM) tools.
  • Strong experience with JIRA and Confluence.
  • Knowledge of Microsoft Project, Visio, and Microsoft Office Suite.
  • Strong requirements gathering and documentation skills.
  • Ability to translate business requirements into technical deliverables.
  • Strong analytical, organizational, and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Ability to manage multiple projects and priorities independently.
Preferred Qualifications
  • Experience with Disaster Recovery, Business Continuity, or Operational Resiliency.
  • Experience with Black Start planning/readiness.
  • Understanding of data center infrastructure, including power, cooling, capacity management, and infrastructure dependencies.
  • Experience working in large-scale enterprise data center environments.
Key Skills

Data Center Business Analyst | Business Analysis | Data Center Infrastructure | JIRA | Confluence | DCIM | Microsoft Project | Visio | Requirements Gathering | Process Documentation | KPI Reporting | Disaster Recovery | Business Continuity | Operational Resiliency | Black Start

Responsibilities
  • Gather, analyze, and document business and technical requirements.
  • Translate business requirements into functional and technical solutions.
  • Create project documentation, process flows, MOPs, and release plans.
  • Support project planning, scheduling, scope management, and status reporting.
  • Create and manage JIRA stories, tasks, and action items.
  • Maintain documentation using Confluence and Microsoft Office.
  • Develop dashboards, reports, and KPI metrics.
  • Support Data Center Infrastructure Management (DCIM) tools and reporting.
  • Assist with project financial tracking, forecasting, and reporting.
  • Support Disaster Recovery, Business Continuity, and Operational Resiliency activities.
  • Assist with Black Start planning, recovery documentation, dependency mapping, and tabletop exercises.
  • Prepare meeting minutes and track follow-up actions.
  • Coordinate with Project Managers, Operations, Facilities, Engineering, and business stakeholders.

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