Manager Data Engineering

Be part of a team that values safety, inclusion, and excellence

We are one of the largest U.S. railroads transporting the nation's freight across 28 western states and 3 Canadian provinces. As a member of our team, you will play a role in supporting the movement of essential products and materials that help feed, clothe, supply, and power communities throughout America and the world.

We are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential.Come make a difference with us!

Learn more aboutBNSFandourBenefits

Job Location:Fort Worth
Other Potential Locations:Fort Worth, TX
Anticipated Start Date:06/15/2026
Number of Positions:1
Salary Range:$110,430 - $124,000

Apply early as this job may be removed or filled prior to the closing date, which is approximately seven (7) days after the posting date.

KEY RESPONSIBILITIES:

* Use Power BI data-analytics software to import, clean, analyze, and display complex data sets and data modeling in Excel to find correlations, discrepancies, and trends that influence railroad-track maintenance and planning processes.

* Use Python, SQL, and MS Azure data-analysis programming languages to analyze and manage railroad engineering data quality.

* Apply data analytics and railroad safety, track-inspection, and other operating requirements to assess new technologies for track-inspection and maintenance processes and interface with the technology division to align potential implementation with current and future business needs.

* Perform in-depth analysis of track-geometry data and maintenance history to identify and understand correlations.

* Support technology development such as Track Health Optical Recognition and Onboard Defect Identification and Notification system.

* Develop presentations and reports on railroad-track data and innovative technologies for engineering leadership.

QUALIFICATIONS:

* Bachelor's degree in Data Science, Civil Engineering, or related field.

* 1 year of experience with using data-analytics programming languages such as Python, SQL, or MS Azure to analyze railroad engineering data.

* Experience with data modeling in Excel.

* Experience with importing, cleaning, analyzing, and displaying complex data sets using data-analytics software.

* Experience with analyzing track-geometry data.

* Experience with railroad safety, track-inspection, and other operating requirements.

* 25% domestic travel to railroad-track locations.

At BNSF, you will have access to a comprehensive and competitive benefits package including:

• An industry-leading 401(k) and renowned Railroad Retirement program.
• A range of robust health care options for you and your dependents (including domestic partners), including medical, dental, vision, telemedicine, mental health, cancer support, and high-quality care network options.
• Health care spending accounts (HSA) with employer contributions, as well as life and disability insurance, provided at no cost.
• Family benefits includingparental, pediatric and family building support, adoption and surrogacy reimbursement, and dependent care spending account (with employer match).
• Access to discounts on travel, gym memberships, counseling services and wellness support.
• Annual bonus (Incentive Compensation Program)
• Generous leave / time off policies.
• For more information, visitBenefits.

Please be aware of potential fraud that can occur when searching for new career opportunities. Please review ourFAQfor more information and awareness.

All positions require pre-employment background verification, medical review and pre-employment drug screen. You can find more information by reviewing theHiring Process. Federal authority requires BNSF employees, whose work requires unescorted access to secure areas of port facilities, to obtain a TWIC.More information is available athttps://www.tsa.gov/for-industry/twic

BNSF Railway is an Equal Opportunity Employer, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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