Sr/Staff Data Engineer (Remote - US)

BNSF Railway • ,

3d • $165,000 - $300,000 • Remote

About The Position

BNSF | Tech is the technology division making BNSF the preeminent freight and mobility company in North America. This role is part of a team that values safety, inclusion, and excellence. BNSF is one of the largest U.S. railroads transporting the nation’s freight across 28 western states and 3 Canadian provinces. As a member of this 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. This is a full-time remote position. Employees may work from anywhere within the contiguous 48 states of the United States. 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. 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.

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
• Demonstrate operational excellence by monitoring, troubleshooting, and resolving production issues, including participating in a 24/7 on-call rotation.

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
• Education Level: Associate degree