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Business Intelligence Data Engineer Jobs (NOW HIRING)

Data Engineer III

$117K - $140K/yr

The Data Engineer III works closely with Data Scientists, Business Intelligence Developers and other colleagues to build or enhance robust data systems. Initiatives will often be of significant ...

Senior Data Engineer

Herndon, VA ยท Remote

$109K - $148K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... Partner with Business Intelligence and Data Science teams to deliver trusted, production-ready ...

Azure Data Engineer/Analyst

Northbrook, IL ยท On-site

$92K - $138K/yr

Job Summary The Azure Data Engineer/Analystsupports the development and delivery of enterprise business intelligence, data analysis, and reporting solutions for Medline's Sales organizations. This ...

Azure Data Engineer/Analyst

Northbrook, IL ยท On-site

$92K - $138K/yr

Job Summary The Azure Data Engineer/Analystsupports the development and delivery of enterprise business intelligence, data analysis, and reporting solutions for Medline's Sales organizations. This ...

Senior Data Engineer

Herndon, VA ยท On-site +1

$109K - $148K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... Partner with Business Intelligence and Data Science teams to deliver trusted, production-ready ...

Azure Data Engineer/Analyst

Northbrook, IL ยท On-site

$92K - $138K/yr

Job Summary The Azure Data Engineer/Analyst supports the development and delivery of enterprise business intelligence, data analysis, and reporting solutions for Medline's Sales organizations. This ...

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Business Intelligence Data Engineer information

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

As of Jun 20, 2026, the average hourly pay for business intelligence data engineer in the United States is $57.05, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.70 per hour, depending on experience, location, and employer.

How do Business Intelligence Data Engineers typically collaborate with analysts and business stakeholders?

Business Intelligence Data Engineers frequently work alongside data analysts and business stakeholders to ensure data pipelines and reporting tools meet organizational needs. They translate business requirements into technical specifications, build or optimize data models, and provide clean, reliable datasets for analysis. Regular communication and feedback loops are essential, as data engineers must adapt solutions to evolving business questions and ensure data integrity throughout the process. This collaborative approach helps deliver actionable insights and supports data-driven decision-making across teams.

What are the key skills and qualifications needed to thrive as a Business Intelligence Data Engineer, and why are they important?

To thrive as a Business Intelligence Data Engineer, you need strong skills in data modeling, ETL development, SQL, and a background in computer science or a related field. Proficiency with BI tools (e.g., Tableau, Power BI), data warehousing platforms (like Snowflake or Redshift), and certifications such as Microsoft Certified: Data Analyst Associate are highly valuable. Analytical thinking, problem-solving, and effective communication are important soft skills for translating business requirements into actionable insights. These competencies ensure reliable data infrastructure, accurate reporting, and successful collaboration with stakeholders to drive informed business decisions.

What is a Business Intelligence Data Engineer?

A Business Intelligence (BI) Data Engineer is a professional responsible for designing, building, and maintaining the infrastructure and processes that allow organizations to collect, store, and analyze data for business decision-making. They work closely with data analysts, data scientists, and business stakeholders to ensure data is accessible, reliable, and optimized for reporting and analytics. Typical tasks include developing data pipelines, integrating data from various sources, and ensuring data quality and security. Their work enables organizations to transform raw data into actionable insights that help drive business growth.

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

AspectBusiness Intelligence Data EngineerData Analyst
Primary FocusBuilding and maintaining data pipelines and infrastructure for BI systemsAnalyzing data to generate reports and insights
Skills & CertificationsSQL, ETL tools, data warehousing, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, BI platforms, cloud environmentsBusiness units, reporting tools, dashboards
Industry UsageOrganizations with large data infrastructure needsOrganizations focusing on data-driven decision making

While both roles work with data, Business Intelligence Data Engineers focus on creating and managing the data infrastructure that enables BI reporting, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right roles for their data needs.

More about Business Intelligence Data Engineer jobs
What cities are hiring for Business Intelligence Data Engineer jobs? Cities with the most Business Intelligence Data Engineer job openings:
What states have the most Business Intelligence Data Engineer jobs? States with the most job openings for Business Intelligence Data Engineer jobs include:

Business Intelligence Data Analyst

Atria Group LLC

Eagan, MN โ€ข Hybrid

Other

Posted 25 days ago


Job description

Company Description

We specialize in Staffing, Consulting, Software Development, and Training along with IT services to small to medium size companies. AG's primary objective is to help companies maximize their IT resources and meet the ever-changing IT needs and challenges.

In addition, AG offers enterprise resource planning and enterprise application integration, supply-chain management, e-commerce solutions, and B2B public exchanges and B2B process integration solutions. Our company provides application analysis, design, development and programming, software engineering, systems development, testing, integration, and implementation, and management consulting services to various clients - including governmental agencies and private companies - throughout the United States and India.

We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management systems, state-of-the-art networking, and communications infrastructures. Our honest and realistic approach to recruiting dictates that AG does not entice or lure engineers from their employers. We represent only high caliber technical professionals who have committed to making a change required by career.

Job Description

This is a hybrid role.. they need to be both technical (be able to build complex logic into existing report code) and strong analysis skills.. A BA won't be technical enough.. Some additional details are below.

They key and primary skillset/expertise we are seeking is that of a data analyst who is proven to be a highly skilled analyst in a complex data environment, preferably in the healthcare payer warehouse space.ย 

The initial work will be redirecting existing BI reports to multiple existing and new data sources that are disparate and complex; we anticipate a great deal of analysis and profiling will need to occur, and a substantial amount of logic will need to be built into the report code, due to the introduction of new data sources that will have minimal logic built in. ย 

As part of a major project within BCBSMN, this role is part of a work unit accountable for redirecting various existing BI Reports and/or Data Submissions and Assets (i.e. Data Views) to new data sources. This work involves highly complex analysis between the existing and new data sources which have multiple differences/grains. Work 'may' also include analysis of/rewriting Semantic Data Views to point to new data sources. The primary and key function is data analysis.

Accountabilities:

  • Directly and primarily responsible for highly complex and detailed healthcare data analysis between disparate sources, data profiling, and creating detailed source-to-target data mapping for redirecting/rewriting BI Reporting, including determining and applying necessary business, data quality and transformation rules; ensuring BI report rewrites using new and/or disparate data sources are minimally disrupted and satisfy business needs. In most cases, additional substantial complex logic will need to be built into the reports.
  • Point person for gathering and documenting detailed business and technical requirements; scheduling and leading discussions with business including requirements gathering, reviewing profiling results, approvals, BAT coordination and support
  • Accountable for contributing business definitions to metadata documentation
  • The BI Lead/Data Analyst is typically expected to also act as the lead for the work unit; ability to lead and motivate as well as assist in supporting/driving results (this is in addition to the primary responsibility of detailed analysis as noted above);
  • May also be responsible for analyzing and modifying existing and/or creating new semantic data views used by business users directly or as a source for reports.ย 
Qualifications

Base Qualifications:

  • Bachelor's Degree in Computer Science or related field and minimum of 6 years of experience related to the accountabilities outlined above
  • Proven history of performing high quality analysis/output/results within a fast-paced, complex healthcare setting
  • Proficiency in writing solid, efficient SQL to perform complex functions
  • Extensive experience in a data warehouse environment / data warehouse projects, primarily in complex data analysis to support complex reporting
  • Solid experience/solid performance in working with complex healthcare data (including multiple data domains)
  • Proven ability to work effectively through ambiguity and change; ability to identify and understand upstream and downstream dependencies
  • Demonstrated analytical and problem-solving skills; ability to design, evaluate and interpret complex data solutions
  • Demonstrated excellence in oral, written and presentation skills; ability to speak to both business and technical audiences effectively
  • Proven to be successful in a fast-paced project execution environment
  • Must be proactive; self-starter with history of ability to contribute and be productive very quickly following onboarding

Preferred/Added Value Qualifications:

Exposure/familiarity/experience with SAS; or experienced/expert in a BI data analyst role that also provided development solution in SAS in a healthcare payer organization

Exposure to agile-like deliveryย 

Additional Information
  1. Good comm skills are a big priority
  2. Duration: Long Term