Sr/Staff Data Engineer (Remote - US)

BNSF Railway is one of the largest U.S. railroads transporting freight across the nation. They are seeking a Senior/Staff Data Engineer to design and implement data streaming solutions, develop robust data pipelines, and collaborate with stakeholders to ensure efficient data flow 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