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Bi Engineer Jobs in Dallas, TX (NOW HIRING)

Inherent Technologies

Power Bi Developer

Dallas, TX · On-site

Design interactive dashboards and reports to clearly visualize key metrics. 8-10 year of experience in SQL development and Power BI which will include preparing data, build data models, and present ...

Judge Group, Inc.

Sr. Fabric BI Data Engineer

Dallas, TX · On-site

$130K - $150K/yr

Senior Fabric BI Data Engineer Location: North Dallas, TX (Hybrid) Employment Type: Full-Time Job Summary We are seeking a Senior Fabric BI Data Engineer to support the modernization and expansion of ...

Atria Group LLC

SAP BI 4.0 Crystal Developer

Dallas, TX · On-site

SAP BOE BI 4.0 is used, with report design tools Crystal Reports BI 4.0, Business Objects Dashboard Design (Xcelsius) BI 4.0. Work along side current development staff and transfer knowledge to them ...

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Showing results 41-60

All JobsBi Engineer JobsBi Engineer Jobs in Dallas, TX

Bi Engineer information

See Dallas, TX salary details

$38.6K

$100.7K

$136K

How much do bi engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for bi engineer in Dallas, TX is $100,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,100.00 and $115,200.00 per year, depending on experience, location, and employer.

What is a BI engineer?

BI Engineers, or Business Intelligence Engineers, are professionals who design, develop, and maintain data solutions to help organizations make informed business decisions. They build and manage databases, data pipelines, and reporting systems that transform raw data into actionable insights. BI Engineers often work with tools such as SQL, ETL (Extract, Transform, Load) frameworks, and visualization platforms like Tableau or Power BI. Their work enables companies to analyze trends, identify opportunities, and improve overall performance.

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

To thrive as a BI Engineer, you need strong analytical skills, proficiency in data modeling, and a solid background in computer science or information systems. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as expertise in SQL, ETL processes, and data warehousing technologies, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you convey complex insights to stakeholders. These skills are crucial for transforming raw data into actionable business intelligence that drives informed decision-making.

How does a BI engineer typically collaborate with data analysts and business stakeholders to deliver actionable insights?

A BI Engineer often works closely with data analysts to design data models, build efficient ETL pipelines, and ensure the accuracy and accessibility of data within business intelligence tools. They partner with business stakeholders to gather requirements, translate business needs into technical solutions, and present data in a way that supports decision-making. Effective communication and a collaborative mindset are crucial, as BI Engineers frequently participate in meetings to align on project goals, clarify data definitions, and iterate on dashboards or reports based on feedback.

What is the difference between Bi Engineer vs Data Analyst?

AspectBi EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering, or related field; often certifications in data toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentData warehouses, ETL pipelines, cloud platformsData visualization tools, spreadsheets, reporting platforms
Employer & Industry UsageTech companies, finance, healthcare, retailBusiness, marketing, finance, healthcare
Common Search & Comparison IntentUnderstanding technical data infrastructure rolesInterpreting data for business insights

Bi Engineers focus on building and maintaining data pipelines, warehouses, and infrastructure, requiring technical skills in data engineering. Data Analysts interpret data to generate reports and insights, emphasizing analytical skills. While both roles work with data, Bi Engineers handle the technical backbone, whereas Data Analysts focus on data interpretation for decision-making.

Is bi engineering a good career?

Bioengineering is a growing field that combines biology, engineering, and technology to develop medical devices, diagnostics, and healthcare solutions. It offers diverse job opportunities in research, healthcare, and industry, often requiring knowledge of biology, engineering principles, and relevant certifications. The career can be rewarding for those interested in innovation and improving health outcomes.

What are popular job titles related to Bi Engineer jobs in Dallas, TX?

For Bi Engineer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Bi Engineer jobs in Dallas, TX look for?

The top searched job categories for Bi Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Bi Engineer jobs?

Cities near Dallas, TX with the most Bi Engineer job openings:

Bi Engineer jobs near you
Infographic showing various Bi Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $100,657 per year, or $48.4 per hour.

Sr. BI Developer

Expert Technical Solutions

Irving, TX

Contractor

Re-posted 11 days ago

Job description

Senior Business Intelligence Engineer
Location: Irving, TX (Onsite 5 Days/Week)
Employment Type: Contract-to-Hire (3–6 Months)
Work Authorization: Must be authorized to work in the U.S. without sponsorship
Position Overview
Our client is seeking a Senior Business Intelligence Engineer to lead the development of enterprise reporting and analytics solutions that empower business leaders to make informed, data-driven decisions. This individual will be responsible for designing intuitive dashboards, semantic models, and reporting solutions with a primary focus on Power BI.
The ideal candidate combines strong reporting and visualization expertise with solid SQL skills and a deep understanding of how data is structured behind the scenes. While this role is not focused on building data pipelines or data warehouse architecture, the successful candidate must be comfortable working with complex datasets, understanding SQL logic, and collaborating closely with data engineering teams to deliver accurate, scalable reporting solutions.
This role will play a key part in improving reporting capabilities across the organization while establishing best practices for visualization, usability, performance, and governance.
Key Technologies
  • Power BI
  • Tableau
  • SSRS
  • SQL Server
  • Azure SQL
  • DAX
  • Power Query
  • Data Modeling
Primary Responsibilities
  • Design, develop, and maintain enterprise reporting solutions using Power BI.
  • Create intuitive dashboards, scorecards, and visualizations that support operational and executive decision-making.
  • Develop and maintain semantic models, datasets, measures, and calculated fields.
  • Build and optimize DAX calculations and reporting logic.
  • Develop and support SSRS reports and legacy reporting solutions.
  • Design and maintain Tableau dashboards to support broader enterprise reporting initiatives.
  • Write and modify SQL queries to support reporting requirements, data validation, and troubleshooting efforts.
  • Partner closely with data engineering teams to ensure reporting data structures support business requirements.
  • Translate business needs into meaningful visualizations and actionable insights.
  • Optimize report performance through efficient model design, aggregations, query optimization, and best practices.
  • Implement row-level security and governance standards across reporting platforms.
  • Promote best practices around data visualization, user experience, report usability, and dashboard design.
  • Provide guidance and support to business users consuming reporting solutions.
Required Qualifications
  • 5+ years of experience developing enterprise reporting and business intelligence solutions.
  • Advanced expertise in Power BI, including:
    • Semantic models
    • Datasets
    • DAX development
    • Performance optimization
    • Workspace administration
    • Security and governance
  • Strong SQL skills with the ability to:
    • Write complex joins
    • Create aggregations
    • Utilize CTEs and subqueries
    • Validate and troubleshoot reporting data
  • Experience developing and supporting SSRS reports.
  • Experience building dashboards and visualizations in Tableau.
  • Strong understanding of data visualization principles and dashboard design best practices.
  • Experience translating business requirements into reporting solutions and executive-level insights.
  • Strong analytical and problem-solving skills.
Preferred Qualifications
  • Experience supporting large enterprise reporting environments.
  • Familiarity with Azure SQL, SQL Server, and modern cloud-based data platforms.
  • Experience working with data engineering teams supporting Azure Data Factory or similar ETL solutions.
  • Understanding of dimensional modeling concepts including fact and dimension tables.
  • Experience supporting finance, operations, supply chain, or enterprise business functions.
What Success Looks Like
  • Deliver high-quality dashboards and reports that are trusted and widely adopted by business users.
  • Improve reporting usability, consistency, and performance across the organization.
  • Enable faster decision-making through intuitive and meaningful data visualizations.
  • Establish reporting standards and best practices that improve scalability and maintainability.
  • Serve as a trusted partner between business stakeholders and technical data teams.