Sr Staff Software Engineer (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: 1 
Salary Range: $243,750-$406,250

The US base salary range for this full-time position is $243,750-$406,250 plus 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 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, 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 department drives 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-time position. Our leaders also foster a culture where work life balance, which requires flexibility for when life happens, is important and respected. 

As a Sr Staff Data Engineer, you will:

• Spearhead the strategic design and implementation of cutting-edge data streaming solutions to process real-time data efficiently and accurately, driving innovation in data processing capabilities.
• Architect and govern the maintenance of resilient data pipelines that facilitate seamless data flow across systems, ensuring the utmost data integrity, reliability, and scalability.
• Strategically design and oversee the management of datamarts to cater to advanced business intelligence and analytics needs, providing insights to key stakeholders.
• Develop and establish certified datasets to uphold stringent data quality standards, ensuring data accuracy and consistency for data-driven decision-making across the organization.
• Foster collaboration with diverse cross-functional teams, including data scientists, analysts and stakeholders to proactively gather requirements and deliver data solutions that align with strategic business objectives.
• Innovate data workflows and proactively troubleshoot challenges to maintain peak performance and scalability of data infrastructure, continuously enhancing operational efficiency.
• Champion data security measures and ensure compliance with industry standards and regulations to safeguard sensitive information and mitigate risks effectively.
• Stay at the forefront of cutting-edge trends and advancements in data engineering, data science, and machine learning, integrating industry best practices into data solutions to drive continual improvement.
• Lead the end-to-end implementation of data engineering solutions into production systems, overseeing the comprehensive solution design, development, testing, and monitoring processes to elevate operational excellence and deliver substantial business value.
• Mentor, coach and enable other Data Engineers to develop a strong data engineering team.

Basic Qualifications:

• I am CURRENTLY authorized to work in the US.
• MS degree in Computer Science, Information Technology or a related field; Ph.D is a plus 
• 12+ years of experience in building enterprise data engineering solutions
• Proficiency in programming languages such as Python, R, SQL, Java
• Experience in DevSecOps standards and tools like Jenkins, GitHub
• Expertise in data engineering, with a focus on data streaming, data pipelines, data orchestration tools,  datamart creation, and certified datasets
• Expertise with data streaming technologies (e.g., Apache Kafka, AWS Kinesis, Apache Flink)
• Strong knowledge of database management systems (e.g., SQL, NoSQL) and modern lakehouse technologies (eg. Apache Iceberg, Delta Lake, Apache Trino)
• Experience with containerization and orchestration tools like Kubernetes, specifically Azure Kubernetes Service (AKS)
• Proficiency in using Jupyter for collaborative data analysis
• Deep experience with open-source technologies and tools
• Strong knowledge of ETL processes and tools (e.g., SQL)
• Experience with multiple cloud platforms
• 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.
• 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)
• Have knowledge of geospatial data transformation and spatial libraries
• Expertise with MLOps tools like MLflow, Kubeflow, or similar.
• Expertise in Model Deployment, Model Automation, Model Monitoring, Model Optimization & Compliance

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 including parental, 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, visit Benefits.

Please be aware of potential fraud that can occur when searching for new career opportunities.  Please review our FAQ for 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.

SF: MO | [[mfield5]] | bnsf tech | REMOTE, US | 00000