• Design and implement scalable, high-performance data pipelines for structured and unstructured data • Build and maintain enterprise-grade data architecture across cloud and on-prem environments (AWS, Azure, or GCP) • Define and implement data modeling strategies (data warehouses, data lakes, real-time streaming) • Collaborate with business stakeholders to translate requirements into technical solutions • Ensure data quality, governance, security, and compliance across all data assets • Perform complex data analysis and support reporting and analytics initiatives • Evaluate and recommend modern tools, frameworks, and best practices in data engineering • Integrate data from multiple sources and optimize data performance • Provide technical direction and architectural guidance across data projects

Role Description Wir suchen für ein Kundenunternehmen einen Mitarbeiter (m/w/d) im Bereich Datenpflege. Sie übernehmen strukturierte Büroaufgaben und sorgen für saubere und verlässliche Daten im System. - Pflege und Aktualisierung von Stammdaten - Prüfung und Korrektur von Datensätzen - Unterstützung bei der Datenübertragung und -bearbeitung - Dokumentation von Änderungen - Mitarbeit bei einfachen Auswertungen Qualifications - Abgeschlossene kaufmännische Ausbildung zwingend erforderlich - Erste Berufserfahrung im Büro / Backoffice - Sicherer Umgang mit MS Office (insbesondere Excel) - Strukturierte und sorgfältige Arbeitsweise - Zuverlässigkeit und Teamfähigkeit Benefits - Unbefristete Anstellung - Vergütung: ab 2.600 € brutto/Monat - Homeoffice nach Einarbeitung möglich - Strukturierte Einarbeitung - Moderne Technik wird gestellt - Persönliche Betreuung durch NEO Temp – erreichbar und auf Augenhöhe - Langfristige Perspektive Company Description

• Designing, developing, and implementing efficient and scalable data pipelines • Building and maintaining modern data infrastructure, including storage layers, databases, processing environments, and monitoring solutions based on Microsoft Azure services • Working with Azure Databricks and related platforms, supporting data processing, analytics, machine learning, and credit scoring use cases • Optimizing the performance of data platforms, identifying bottlenecks and fine-tuning processes to ensure stability, scalability, and efficiency • Supporting implementation of data security, compliance, and governance practices, ensuring data confidentiality, integrity, and availability • Collaborating with data science, analytics, product, and engineering teams, translating data requirements into scalable and reliable technical solutions • Supporting data workflows related to credit scoring, fraud detection, risk analytics, lending, and other fintech use cases • Researching and evaluating new data engineering tools and technologies, recommending improvements to enhance performance and maintainability • Creating and maintaining technical documentation including architecture diagrams, data flows, and pipeline configurations, ensuring clarity and knowledge sharing.

Title: Sr/Staff Data Engineer (Remote - US) Location: United States Job Description: 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: 06/01/2026 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.