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Data Engineer I​/II; Remote

Remote / Online - Candidates ideally in
Coos Bay, Coos County, Oregon, 97458, USA
Listing for: BNSF Railway
Remote/Work from Home position
Listed on 2026-01-01
Job specializations:
  • Engineering
    Data Engineer
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 93750 - 175000 USD Yearly USD 93750.00 175000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer I/II (Remote - US)

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.

Job Location

Remote US

Anticipated Start Date

01/01/2026

Salary Range

$93,750–$175,000

In addition to base pay and bonus eligibility, BNSF offers a comprehensive benefits package.

Key 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.

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.

Basic Qualifications
  • Authorized to work in the US.
  • Able to work now and in the future without BNSF’s assistance in obtaining, maintaining, or extending employment authorization.
  • Minimum of 2 years of 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, data pipelines, data orchestration tools, datamart creation, and certified datasets.
  • 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.
Preferred Qualifications
  • Bachelor’s degree in Computer Science, Information Technology or a related field.
  • Experience in Dev Sec Ops  standards, source control systems and tools like Jenkins, Git Hub.
  • 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.
Benefits
  • An industry-leading 401(k) and renowned Railroad Retirement program.
  • A range of robust health care options for you and your dependents (including…
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