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.

Role Description This role is pivotal in transforming healthcare data integration through advanced engineering techniques and methodologies. You will be tasked with designing and optimizing data pipelines that handle clinical data from various sources while ensuring compliance with healthcare standards. As an integral part of our engineering team, you'll have the opportunity to enhance the quality and efficiency of healthcare delivery by leveraging your expertise in both EHR systems and cloud technologies. Your contributions will directly impact the lives of thousands by facilitating seamless access to vital healthcare data. - Architect production-grade data pipelines integrating clinical data across multiple channels. - Lead integration efforts with health plan partners and health information exchanges. - Build and optimize cloud-native data infrastructure using AWS. - Develop frameworks and internal tooling for accelerating new data source onboarding. - Collaborate with data science teams to build foundations for predictive analytics. - Ensure compliance with HIPAA and other privacy regulations. Qualifications - 8+ years of experience in software engineering with a focus on healthcare data engineering. - Expert proficiency in Python and experience with additional programming languages. - Strong understanding of distributed systems and cloud computing. - Experience with data modeling and performance optimization. - Knowledge of containerization technologies like Docker. - Strong communication skills for technical and non-technical audiences. Benefits - Stock options for investing in the company’s growth. - Performance-based bonus incentive program. - Work-from-home stipend for office setup. - Comprehensive medical, vision, and dental coverage. - Basic life insurance for peace of mind. - 20 vacation days plus 11 paid holidays per year. - Parental leave for birthing and non-birthing parents. - 401(k) plan with company contribution. - Professional development stipend for growth opportunities. Company Description

• Trabajarás en distintos proyectos para ayudar a los clientes de Astrafy a sacar el máximo partido de sus datos. • Colaborarás tanto en el plano de negocio como en el técnico del caso de uso del cliente. • Diseñar y mantener pipelines de datos escalables aprovechando tecnologías como Airflow, dbt, BigQuery, Pub/Sub y Snowflake, garantizando una ingesta, transformación y entrega de datos eficientes y fiables. • Desarrollar y optimizar la infraestructura de datos en Google Cloud, aplicando buenas prácticas de rendimiento, coste y seguridad. • Usar Terraform para automatizar el aprovisionamiento de infraestructura y gestionar cargas de trabajo contenizadas, fomentando la agilidad y la repetibilidad entre entornos. • Implantar medidas sólidas de gobernanza, seguridad y calidad de los datos, asegurando exactitud, consistencia y cumplimiento a lo largo de todo el ciclo de vida del dato. • Colaborar con equipos multidisciplinares para diseñar y desplegar paneles de BI y otras soluciones analíticas que ofrezcan a los stakeholders información accionable. • Refinar continuamente la arquitectura de datos para adaptarla a las necesidades cambiantes del negocio, escalando las soluciones para gestionar un mayor volumen y complejidad de datos. • Promover una cultura de innovación investigando, evaluando y recomendando tecnologías de datos emergentes y mejores prácticas del sector.

• Design, build, and maintain scalable ETL pipelines and data workflows to support analytics and operational use cases • Develop and optimize data models and warehouse structures to enable efficient reporting and insights • Partner with cross-functional teams (Operations, Compliance, Product, BI) to translate business requirements into data solutions, including support for complaints and regulatory processes • Improve and maintain data quality, integrity, and governance standards across systems • Optimize query performance, dashboards, and reporting infrastructure for scalability and efficiency • Contribute to system design discussions, ensuring data architecture supports long-term business needs and growth • Troubleshoot and resolve data issues, ensuring reliability and accuracy of datasets used across the organization