Sr/Staff Data Engineer (Remote - US)

About the role

BNSF | Tech is the technology division of BNSF, one of the largest U.S. railroads. We move essential products and materials that feed, clothe, supply, and power communities across the nation and the world. We are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential.

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.

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.

Qualifications

• 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).
• Proficiency in using Jupyter for collaborative data analysis.
• Knowledge of geospatial data transformation and spatial libraries.

Skills

• Programming Languages: Python, SQL, Java.
• Data Warehousing Concepts: Dimensional Modeling, Star Schema.
• ETL Processes and Tools: Cloud Based Solutions.
• Database Management Systems: SQL, NoSQL.
• Modern Lakehouse Technologies: Apache Iceberg, Delta Lake, Apache Trino.
• Data Streaming Technologies: Apache Kafka, AWS Kinesis, Apache Flink and Apache Spark.
• Data Engineering: Data Streaming, Data Pipelines, Data Orchestration Tools, Datamart Creation, Certified Datasets.
• DevSecOps Standards, Source Control Systems and Tools: Jenkins, GitHub.
• Collaboration and Communication Skills.
• Problem-Solving Skills.
• Intellectual Curiosity.
• Technical Adaptability.
• Clear Communication.

Benefits

• Industry-leading 401(k) and Railroad Retirement program.
• 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).
• Discounts on travel, gym memberships, counseling services and wellness support.
• An annual bonus (Incentive Compensation Program).
• Generous leave / time off policies.

Pay

The US base salary range for this full-time position is provided below:

• L5: $165,000 - $220,000
• L6: $225,000 - $300,000

Schedule

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.

Application

We are open to sponsoring H-1B transfers, TN nonimmigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility. 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.