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Business Intelligence Data Engineer Jobs in Austin, TX

Sr Business Intelligence Engineer

Austin, TX · Hybrid

$51 - $66/hr

This role combines strong data engineering, advanced analytics, and visualization expertise to ... Business Intelligence, Data Engineering, or Analytics roles. * Strong experience with BI tools:

Coordinate with engineering staff and project managers to understand the data behind the ... Stay current on business intelligence and data visualization best practices. Qualifications

Coordinate with engineering staff and project managers to understand the data behind the ... Stay current on business intelligence and data visualization best practices. Qualifications

Collects, analyzes, and shares data to help business teams drive improvement in key business ... Knowledge of reporting analysis, design, and programming principles as well as knowledge of ...

Collaboration and Problem-Solving o Work closely with data engineering, IT, and Program teams to ... with Business Intelligence/Data Warehouse 5 Preferred Experience working in a health and human ...

... data systems and analysis infrastructure. Requirements * Bachelor's degree, ideally in engineering ... business intelligence analyst, software engineer, or database application developer. * Strong ...

Data Engineer, Marketplace

Austin, TX

$113K - $136K/yr

The AWS Marketplace team is looking for a Data Engineer to play a key role in building insights ... Provide on-line reporting and analysis using business intelligence tools and a logical abstraction ...

Data Engineer, Marketplace

Austin, TX · On-site

$113K - $136K/yr

The AWS Marketplace team is looking for a Data Engineer to play a key role in building insights ... Provide on-line reporting and analysis using business intelligence tools and a logical abstraction ...

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Showing results 1-20

Business Intelligence Data Engineer information

See Austin, TX salary details

$28

$56

$78

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

As of Aug 31, 2026, the average hourly pay for business intelligence data engineer in Austin, TX is $56.55, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $63.12 per hour, depending on experience, location, and employer.

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

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.

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 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.

Infographic showing various Business Intelligence Data Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $117,617 per year, or $56.5 per hour.

Sr Business Intelligence Engineer

Austin, TX • Hybrid


McLane Company
Import-Export • 10K+ employees

7.0

Company rating: 7.0 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

29th of 49 rated food wholesalers

People enjoy working here

Good employer

Recommended by students


$51 - $66/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

Take your career further with McLane!

McLane teammates, the driving force behind our success, are diverse professionals who work together seamlessly to keep our operations running smoothly. As a teammate, you will pair your dedication, expertise, and collaborative spirit with your fellow teammates to serve America's most beloved brands. McLane leaders think long-term, act with purpose, and inspire high performance. They lead with accountability, communicate clearly, and drive results through collaboration, innovation, and continuous growth. They empower each teammate to learn from industry leaders, develop their skills, and build lasting connections nationwide.

We are seeking a highly skilled Sr. Business Intelligence Engineer to help drive data-informed decision-making across a fast-paced, industry-leading digital supply chain organization. This role combines strong data engineering, advanced analytics, and visualization expertise to deliver scalable, high-impact BI solutions using modern tools and cloud platforms.

This is a hybrid position which will require the candidate to report and work from the office at least three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX.

Benefits you can count on:

  • Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance
  • Paid time off begins day one.
  • 401(k) Profit Sharing Plan after 90 days.
  • Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!

What You'll Do

  • Design, develop, and maintain scalable BI solutions, dashboards, and data models.
  • Transform complex data into actionable insights using Looker, Power BI, Tableau, and Cognos.
  • Build and optimize data pipelines and workflows using Alteryx and Fabric.
  • Partner with cross-functional stakeholders to define KPIs, metrics, and reporting strategies.
  • Leverage GCP to support data architecture, performance, and governance.
  • Ensure data accuracy, consistency, and best practices across reporting environments.
  • Drive continuous improvement in BI development, automation, and user experience.

What We're Looking For

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field. (Master's preferred)
  • 5 years of experience in Business Intelligence, Data Engineering, or Analytics roles.
  • Strong experience with BI tools: Looker (LookML), Power BI, Tableau, Cognos.
  • Hands-on experience with Alteryx, Microsoft Fabric, and GCP environments.
  • Advanced SQL and data modeling expertise; Python experience preferred.
  • Proven ability to translate business needs into scalable technical solutions.
  • Experience working in data engineering/BI environments with modern data stacks.
  • Strong stakeholder engagement and communication skills.
  • Experience in large-scale, enterprise or supply chain environments preferred.
  • This position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role. The requirement is directly related to the nature of the job and ensures compliance with workplace safety and operational standards.

Fit the following? We want you here!

  • Teamwork oriented
  • Organized
  • Problem solver
  • Detailed

Our roadmap. Our story.  

We've been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130 years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture.  

Candidates may be subject to a background check and drug screen, in accordance with applicable laws.  

All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

For our complete EEO and Pay Transparency statement, please visit https://www.mclaneco.com/legal/employment/



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