Data Engineer (Sr/Staff Software Engineer) (Remote - US)

BNSF Railway; Myrtle Point (OR); Remote; USD 165,000 - 300,000; Full time

Job summary

A leading freight transport company is seeking a Data Engineer who will lead AI initiatives and transform data assets into real-time solutions. This full-time remote position requires at least 5 years of experience in data engineering and software engineering, with expertise in Python, SQL, and data streaming technologies. Competitive salary range from $165,000 to $300,000, along with comprehensive benefits including a robust 401(k) plan and health care options.

Benefits

401(k) with employer contributions

Comprehensive health care options

Annual bonus

Generous leave policies

Qualifications

• Minimum 5 years of experience in data engineering or related fields.
• Proficiency in programming languages such as Python, SQL, and Java.
• Experience with ETL processes and cloud-based solutions.

Responsibilities

• Lead AI initiatives by transforming data assets into a real-time enterprise.
• Design and implement data streaming solutions for efficient processing.
• Develop and maintain robust data pipelines for real-time and batch processing.

Skills

Python

SQL

Java

Data warehousing concepts

ETL processes

Data streaming technologies

DevSecOps standards

Collaboration

Education

Bachelor's degree in Computer Science

Tools

Apache Kafka

AWS Kinesis

Apache Spark

Jupyter

Job description

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!

Job Details

Job Location: Remote US

Anticipated Start Date: 10/01/2025

The US base salary range for this full-time position is provided below: Mid: $165,000 - $300,000

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.

Responsibilities

Data & AI: Lead our charge into the future as an AI company by transforming our data assets into a real-time enterprise.

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

Qualifications

Basic Qualifications:

• Minimum 5 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, NoSQL) 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.
• 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 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:

• Bachelor's degree 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.

Benefits

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.

BNSF Railway is an Equal Opportunity Employer, and 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.