Mgr / Sr Mgr Ops Measures (Data Engineer)

Be part of a team that values safety, diversity, 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 about BNSF and our Benefits

Job Location: Fort Worth
Other Potential Locations: Fort Worth, TX 
Anticipated Start Date: 05/05/2025
Number of Positions: 1 
Salary Range: $87,700 - $135,900

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.

The BNSF Railway's Network Strategy and Innovation team is tasked with developing strategic initiatives and pioneering innovative solutions for enhanced network efficiency and sustainability. This team is dedicated to optimizing the railway's infrastructure and operations to meet future freight transportation demands by analyzing market trends, customer needs, and technological advancements. Their work encompasses adopting advanced technologies for improved operational efficiency and exploring sustainable practices to reduce environmental impact. Through their forward-thinking approach and collaboration across departments, the Network Strategy and Innovation team is instrumental in guiding BNSF Railway towards long-term success and reliability in connecting communities and economies.

 

The Mgr/Sr Mgr Ops Measures plays a critical role in building and maintaining the data infrastructure and pipelines necessary to support BNSF's Network Strategy, Design, and Innovation department. This position involves leveraging machine learning techniques to enhance data-driven decision-making and optimize operations within rail systems.
 

Key responsibilities may include:
Designing, developing, and deploying scalable data pipelines and machine learning models. The role requires expertise in Python and SQL, with a preference for experience in PySpark and Databricks. The role will also be responsible for integrating machine learning models into production environments, ensuring reliability and scalability.

 

Data Infrastructure & Pipeline Development:

• Build and maintain robust data pipelines for ingesting, transforming, and storing large datasets.
• Develop backend infrastructure to support machine learning models and AI solutions.

 

Machine Learning Model Deployment:

• Implement and automate machine learning model pipelines, ensuring seamless deployment and monitoring.
• Collaborate with data scientists to optimize models for performance and scalability.

 

Data Analysis & Performance Metrics:

• Provide analytical support for train, yard, and block volume changes, car velocity, and other key operational metrics.
• Enhance performance reporting systems and analytical tools with modern data sources (e.g., TSS 2.0).

 

Systems Integration & Modernization:

• Support ongoing data and systems transformations across various platforms, including internal, customer-facing, and regulatory systems.
• Work on the modernization of metrics, tools, and reports.

 

To be successful in this position, an individual must possess:

• Strong personal and project organizational skills
• Ability to work independently and drive analyses and projects to conclusion