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Data Engineer Business Analyst Jobs (NOW HIRING)

AEG

Data Engineer, Business Strategy & Analytics

Nashville, TN · On-site

$110K - $132K/yr

Data Engineer , Business Strategy & Analytics Department: Business Strategy & Analytics Job Reports To: Sr. Director, Business Strategy & Analytics Status: Exempt Position Overview: The Data Engineer ...

Apple Inc.

$250/hr

Applied AI & Data Engineer - Business & Education Cupertino, California, United States Software and ... Partner with product, business, analytics, and AI stakeholders to turn ambiguous requirements into ...

Tredence Analytic

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics ... Our uniqueness is in bringing the right mix of technology and business analytics to create ...

MetTel

Data Analyst - Business Insights

New York, NY · On-site

$95K/yr

Experience with programming languages commonly used in data analysis (i.e. SQL, Python ... Keywords: #Data Analytics, #Data Scientist, #Financial Modeling, #Business Insights, #JobsNearMe ...

Hammes Company

Business Analyst

Milwaukee, WI · On-site

Bachelor's degree in computer science, data science, data engineering, business analytics, management information systems, or a related field. * At least one year of relevant experience preferred ...

NextGen IT Services

Business Analyst

Albany, NY · On-site

As a Business Analyst, you'll work closely with federal stakeholders, project managers, and ... engineers. · Establishes data stewardship roles and procedures with PHMSA stakeholders. · ...

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

Job Details Job Title Data Engineer Business Function Corporate Branch Name Murphy-Hoffman Company Date 04-07-2026 Address 4501 College Blvd City Leawood State KS

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

The Data Engineer partners closely with data architecture, analytics, and business teams to deliver robust solutions across the modern data stack. This position is fully in office 5 days a week in ...

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

As of Sep 9, 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 Engineer - Business Analytics

Remote

Primoris Services Corporation
Construction • 10K+ employees
Learn more about Primoris Services Corporationexternal

$135K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Primoris Services rating

7.6

Company rating: 7.6 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

28th of 80 rated construction

Job description

Job Overview:
We are seeking a dynamic and detail-oriented Data Engineer - Business Analytics to join our team. This role is responsible for designing, building, and optimizing analytics-ready datasets within a modern data platform leveraging Databricks.
The ideal candidate will serve as a bridge between data engineering and business analytics-transforming raw, disparate data into trusted, performant, and governed datasets that enable enterprise reporting and self-service analytics.
This role will focus on developing and maintaining curated Silver and Gold layer data assets within a medallion architecture, where the semantic layer resides in Databricks rather than BI tools. You will partner closely with business stakeholders, data architects, and analytics teams to ensure alignment with business logic, KPIs, and enterprise data standards.
Please note: Although a specific location is displayed in our applicant tracking system, this position is fully remote and may be performed from anywhere within the United States.
Key Responsibilities:
Data Engineering & Modeling
  • Design, build, and maintain scalable data pipelines and curated datasets within the Databricks Lakehouse (Silver and Gold layers).
  • Develop and manage analytics-ready data models and semantic structures in Databricks, aligned to enterprise reporting needs.
  • Transform raw data into business-consumable datasets that reflect standardized definitions, KPIs, and metrics.
  • Apply dimensional modeling and other data modeling techniques within a distributed data environment.

Semantic Layer & Analytics Enablement
  • Own the semantic layer within Databricks, ensuring consistent definitions across reporting and analytics use cases.
  • Enable downstream consumption by visualization and analytics tools (e.g., Power BI) without reliance on embedded semantic modeling.
  • Partner with business analysts and reporting teams to optimize datasets for usability, performance, and scalability.

Performance Optimization & Data Quality
  • Optimize datasets and data models for performance, including query efficiency and scalability for enterprise reporting workloads.
  • Ensure data quality, integrity, and consistency across the full data lifecycle.
  • Implement and enforce data governance standards, including data security, masking, access controls and cost controls.

Collaboration & Business Alignment
  • Work closely with business leaders and stakeholders to translate business requirements into scalable data solutions.
  • Align data structures to enterprise data dictionary and KPI definitions.
  • Communicate data model designs and dataset structures clearly to both technical and non-technical stakeholders.

Platform & Modernization
  • Support the evolution of the enterprise analytics platform within Azure and Databricks.
  • Contribute to best practices for CI/CD, deployment automation, and data engineering standards.
  • Assist in advancing data capabilities, including support for AI/ML use cases where applicable.

Qualifications
  • Bachelor's degree in Information Technology, Computer Science, Business Analytics, or a related field.
  • 6+ years of experience in data engineering, data modeling, or analytics engineering roles.
  • Strong expertise in Databricks Unity Catalog, SQL, and Python for data transformation and pipeline development.
  • Proven experience designing and implementing data models within modern data platforms (e.g., Lakehouse architecture).
  • Experience working with medallion architecture (Bronze/Silver/Gold layers).
  • Understanding of BI tools (e.g., Power BI), with emphasis on dataset consumption rather than semantic layer ownership.
  • Experience with CI/CD pipelines, version control, and deployment processes.
  • Familiarity with Agile/Scrum delivery methodologies.

Skills and Competencies
  • Strong data modeling and analytical thinking skills.
  • Ability to translate business requirements into scalable data solutions.
  • Deep understanding of data transformation, optimization, and performance tuning.
  • Excellent communication and stakeholder management skills.
  • High attention to detail with a focus on data accuracy and quality.
  • Ability to lead initiatives and influence cross-functional teams.
  • Adaptability in a fast-paced, evolving data environment.

Working Conditions
  • This position may require occasional travel.
  • Flexible work hours may be necessary to meet project deadlines.

Pay Equity
$135,000 - $155,000
Primoris Services Corporation provides the following compensation range and general description of other compensation and benefits that it in good faith believes it might pay and/or offer for this position. This compensation range is based on a full-time schedule. Primoris Services Corporation reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant's sex or other status protected by local, state, or federal law.
#LI-JF1
Company Overview:
Primoris Services Corporation is a premier specialty contractor providing critical infrastructure services to the utility, energy, and renewables markets throughout the United States and Canada. Built on a foundation of trust, we deliver a range of engineering, construction, and maintenance services that power, connect, and enhance society. On projects spanning utility-scale solar, renewables, power delivery, communications, and transportation infrastructure, we offer unmatched value to our clients, a safe and entrepreneurial culture to our employees, and innovation and excellence to our communities. To learn more, visit www.prim.com and follow us on social media at @PrimorisServicesCorporation.
Benefits:
  • 401k w/employer match
  • Health/Dental/Vision insurance plans
  • Paid time off
  • 10 paid holidays
  • Stock purchase plan

EEO Statement
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Agency Statement
We are not accepting resumes from Third Party Recruiting Firms for this position. If you are an Agency or Search firm representative, contact the Primoris Talent Acquisition Manager directly for consideration. Primoris or its subsidiaries will not be responsible for any fees arising from the use of resumes and online response forms through this source. In addition, Primoris or its subsidiaries will not be responsible for any fees on unsolicited resumes that are submitted to any member of the Staffing or Operations team. Primoris has established an approved vendor program for this service and will only consider accepting submissions from those approved firms. For consideration in becoming an approved vendor, contact HR.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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