Software Engineer I/II (Data Engineering) (Remote - US)

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.

Job Location:REMOTE
Anticipated Start Date:06/16/2025
Number of Positions:5
Salary Range:$93,750-$206,250

The US base salary range for this full-time position is $93,750 - $206,250plus bonus eligibility and other elements of our total rewards package. 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 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, BNSF offers a comprehensive benefits package.

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.

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!

The bnsf | tech departmentdrives innovation and efficiency by developing and maintaining advanced technological solutions across the network. This team ensures a robust IT infrastructure, supports critical applications, and enhances cybersecurity measures. Their expertise is essential in optimizing operations and enabling BNSF to deliver reliable, cutting-edge transportation services.

This is a full-timeposition. Our leaders also foster a culture where work life balance, which requires flexibility for when life happens, is important and respected.

As a Data Engineer, you will

• Design and implement data streaming solutions to process real-time data efficiently.
• Develop and maintain robust data pipelines to ensure seamless data flow across systems.
• Create and manage datamarts to support business intelligence and analytics needs.
• Develop certified datasets to ensure data accuracy and reliability.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Optimize data workflows and troubleshoot issues to ensure high performance and scalability.
• 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
• Implement data engineering solutions into data platforms or production systems by leading the solution design, development, testing, and monitoring

Basic Qualifications:

• I am CURRENTLY authorized to work in the US.
• Bachelor's degree in Computer Science, Information Technology or a related field. 0-6 years of experience in building data engineering solutions
• Proficiency in programming languages such as Python, R, SQL, Java
• Experience in DevSecOps standards and tools like Jenkins, GitHub
• Experience in data engineering, with a focus on data streaming, data pipelines, data orchestration tools, datamart creation, and certified datasets
• Experience with data streaming technologies (e.g., Apache Kafka, AWS Kinesis, Apache Flink)
• Familiarity with database management systems (e.g., SQL, NoSQL) and modern lakehouse technologies (eg. Apache Iceberg, Delta Lake, Apache Trino)
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills
• Intellectual curiosity and ability to thrive in a team environment that is constantly changing
• Demonstrated ability to learn new technical concepts and to adapt to new technologies quickly
• Ability to communicate in a clear, concise, professional oral or written manner, to be understood by technical and non-technical colleagues

.

Preferred Qualifications

• If offered a position by BNSF, I will NOT IN THE FUTURE require BNSF's assistance (whether monetary, through sponsorship, through preparation of a training plan, or otherwise) to obtain employment-based nonimmigrant status, such as H-1B or TN, or other authorization to work at BNSF, such as through STEM OPT.
• Prior experience with Data Engineering tools and architectures
• Experience in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or other Transportation industries or experience in a High-Tech industry
• Experience working in an Agile environment (Scrum, Kanban, SAFe)
• Experience with cloud platforms
• Proficiency in using Jupyter for collaborative data analysis
• Experience with open-source technologies and tools
• Have knowledge of geospatial data transformation and spatial libraries

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.

This position will not be required to complete a pre-employment medical review.

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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