Sr/Staff Data Engineer (Remote - US)

BNSF Railway is one of the largest U.S. railroads, and they are seeking a Sr/Staff Data Engineer to support their technology division. The role involves designing and implementing data streaming solutions, developing robust data pipelines, and ensuring data accuracy and compliance with industry standards.

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

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
• 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