• Conceptualizing and implementing scalable and secure cloud-based data solutions. • Shaping the cloud data strategy to ensure data infrastructure aligns with organizational requirements and advances business objectives. • Collaborating closely with esteemed global clients to deliver top-tier solutions in Data & Analytics.

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! learn more about BNSF and our Benefits Job Location: Remote US Anticipated Start Date: 01/01/2026 The US base salary range for this full-time position is provided below: Salary Range: $165,000-$300,000 L5: $165,000 - $220,00 L6: $225,000 - $300,000 The range represents the amount bnsf | tech reasonably expects to pay for the position based on the level, scope, and responsibilities of the role.  Individual compensation and level of position offered is determined by the hiring location and additional factors including but not limited to job-related skills, experience, and relevant education or training. In addition to base pay and bonus eligibility, BNSF offers a comprehensive benefits package. 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 This position is open to candidates who are currently authorized to work in the United States. We are also 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. data & ai: lead our charge into the future as an ai company by transforming our data assets into a real time enterprise. Key responsibilities may include: 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. At BNSF Railway, we encourage individuals from all backgrounds to apply, showcasing their skills, experiences and development. We provide resources and tools to help you reach your full potential, fostering a supportive and inclusive environment. Basic Qualifications - 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 Preferred 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) - 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 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. - For more information, visit Benefits. Please be aware of potential fraud that can occur when searching for new career opportunities. Please review our FAQ for more information and awareness. All positions require pre-employment background verification. BNSF Railway is an Equal Opportunity Employer, 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.

• Teach the fundamentals of data engineering to beginners (beginner level) using Python, SQL, and ETL workflows • Support participants during hands-on exercises and real-world data projects • Work closely with our learning and career teams to ensure an engaging, practice-oriented training experience

MongoDB is building a world-class team in North America to create tooling that helps customers migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise their application and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Data Migration team are critical in this journey, helping customers with schema modeling, initial data loads, and continuous data synchronization. We are looking for an experienced Staff Engineer with experience in the Java ecosystem, streaming systems, and data-intensive applications to join our team. We are building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. A successful candidate will be a key contributor to our backend services, collaborating closely with product management and other engineers to design and implement cutting-edge products that solve complex customer challenges. We are looking to speak with candidates based in British Columbia for our hybrid or remote working model. The ideal candidate for this role will have - 8+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem - Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium - Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) - Exposure to client-side technologies such as JavaScript and React is a plus - Empower the engineering team with unparalleled thought leadership on emerging technologies and best practices - Proactively engage with product leaders and senior management to align technical solutions with overarching business strategies - Mentor and guide junior and senior engineers on best practices in data structures, algorithms, and database design - Participate in code reviews, design discussions, and contribute to the overall technical direction and roadmap of the team - Curiosity, a positive attitude, and a drive to continue learning - Excellent verbal and written communication skills Position Expectations - Architectural Leadership: Drive the architectural vision and technical strategy for the data migration engine and its surrounding ecosystem. Contribute core, foundational code that solves the hardest scalability problems and sets the standard for the rest of the team - Strategic Partnership: Partner closely with Engineering Leadership, Product Management, and Design to shape the technical roadmap. Anticipate future business needs and translate them into scalable, long-term technical initiatives - Engineering Excellence & Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Actively mentor Senior and Mid-level engineers, cultivating a culture of technical excellence and continuous learning Success MeasuresWithin the first three months, you will have - Familiarized yourself with the MongoDB database and aggregation language - Familiarized yourself with the problem space and the domain - Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks - Started collaborating with your peers and contributed to code reviews Within six months, you will have - Worked on and delivered a large-scale code analysis feature in the product - Contributed to and helped deliver a few releases of the product - Reviewed and contributed to scope and technical design documents Within twelve months, you will have - Delivered large-scale features across our entire tech stack - Helped recruit, interview and mentor new members of the team - Collaborated with other teams at MongoDB About MongoDBMongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 4263333172 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $159,000—$221,000 CAD