Sr​/Data Engineer; Remote

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.

Innovating and transforming the future of freight rail. BNSF | tech is the technology division making BNSF the preeminent freight and mobility company in North America.

If you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on the team! Join us in reshaping the future of freight rail and discover a fulfilling career where your contributions matter. We are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential.

Job Location:

Remote US

Anticipated

Start Date:

06/01/2026

Salary Range: $165,000–$300,000

L5: $165,000 – $220,000
L6: $225,000 – $300,000

The range represents the amount BNSF | tech reasonably expects to pay for the position based on the level, scope, and responsibilities of the role. Individual compensation and level of position offered is determined by the hiring location and additional factors including but not limited to job‑related skills, experience, and relevant education or training. In addition to base pay and bonus eligibility, BNSF offers a comprehensive benefits package.

Travel is up to 20%. Employees will be required to occasionally travel to our corporate headquarters in Fort Worth, TX for in‑person meetings. Travel expenses for business needs will be covered by BNSF.

This position is open to candidates who are currently authorized to work in the United States. We are also open to sponsoring H-1B transfers, TN nonimmigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility.

• Design and implement data streaming solutions to process real‑time data efficiently.
• Develop and maintain robust data pipelines for both real‑time and batch processing, including data extraction, transformation and ETL processes to ensure seamless data flow across systems.
• Create and manage large‑scale data warehouses to ensure efficient data access and retrieval in support of business intelligence and analytics needs.
• Develop certified datasets by integrating data from diverse sources to ensure data accuracy, consistency and reliability.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective data solutions.
• Optimize data workflows, monitor data pipelines and troubleshoot issues to ensure high performance, reliable and scalable data flows.
• Ensure data security and compliance with industry standards and regulations.
• Stay current with industry trends and advancements in data engineering, data science and machine learning.
• Write efficient and well‑documented code and unit tests for all data solutions.
• Implement data engineering solutions into data platforms or production systems by leading the solution design, development, testing, and monitoring.

The duties and responsibilities in this posting are representative categories to be used in deciding whether to apply for this position. This is not an exhaustive list of the position’s duties.

• Minimum 6 years experience in software engineering, data engineering, database management or relevant experience.
• Proficiency in programming languages such as Python, SQL, Java.
• Strong understanding of data warehousing concepts including dimensional modeling and star schema.
• Experience with ETL processes and tools including cloud‑based solutions.
• Familiarity with database management systems (e.g., SQL, No
  
  SQL) and modern lakehouse technologies (e.g., Apache Iceberg, Delta Lake, Apache Trino).
• Experience with data streaming technologies (e.g., Apache Kafka, AWS Kinesis, Apache Flink and Apache Spark).
• Experience in data engineering, with a focus on data streaming, pipelines, orchestration tools, datamart…