Sr/Staff Data Engineer (Remote - US)

BNSF Railway

6d • Remote

About The Position

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.

bnsf | tech: 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.

are you ready to drive change?
if you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on our 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. Come make a difference with us!

learn more about BNSF and our Benefits

Requirements

• 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, NoSQL) and modern lakehouse technologies (eg. 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, data pipelines, data orchestration tools, datamart creation, and certified datasets
• Experience in DevSecOps standards, source control systems and tools like Jenkins, GitHub
• 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

Nice To Haves

• Bachelor's degree or higher in Computer Science, Information Technology or a related field
• 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

Responsibilities

• 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 data 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 ensuring unit tests documentation for all data solutions.
• Implement data engineering solutions into data platforms or production systems by leading the solution design, development, testing, and monitoring

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees