Data Engineer

Data Engineer – Data Reliability Engineering (DRE) This position sits within the Data Reliability Engineering team and reports to the Senior Engineering Manager. The Data Engineer will help deliver reliable and scalable data solutions that enable oncology care providers, hospitals, and universities to make data-driven decisions. Responsibilities Design, develop, and maintain data pipelines and analytics solutions that support oncology operational insights and reporting. Monitor, troubleshoot, and optimize cloud-based data platforms to ensure reliability, performance, and data integrity. Investigate technical issues, perform root cause analysis, and collaborate with cross‑functional teams to deliver timely resolutions. Contribute to automation initiatives and process improvements that enhance scalability, efficiency, and operational excellence. Work closely with Product Managers, Data Engineers, Analytics teams, and customer‑facing teams to translate business requirements into actionable data solutions. Serve as a customer‑facing resource to address problems and identify solutions. Validate deployments, system changes, and upgrades to ensure stable and reliable operations. Qualifications Experience: 0–2 years of experience in software engineering, data engineering, analytics, or technical support. Programming: Java and/or Python, SQL, relational databases, and cloud technologies. Education: Bachelor’s degree or higher in Computer Science or a related field. Knowledge of software development fundamentals and data engineering concepts. Experience with SQL and relational databases; exposure to data warehousing technologies, hands‑on Snowflake is a plus. Familiarity with cloud platforms and modern observability tools for monitoring and troubleshooting distributed systems. Exposure to data visualization and reporting tools such as Power BI or Tableau. Understanding of ETL processes, data quality, and scalable data architectures. Strong analytical and problem‑solving skills with attention to detail. Effective communication and collaboration skills with the ability to work across technical and non‑technical teams. Exposure to AI‑assisted development tools such as GitHub Copilot and modern development techniques such as vibe coding, spec‑driven development to support software development, data analysis, and automation initiatives. Domain knowledge in healthcare and oncology data is desirable. Benefits Medical insurance Dental insurance Vision insurance 401(k) retirement plan Life insurance Long‑term and short‑term disability insurance Paid parking/public transportation Paid time off, paid sick and safe time Base pay range: $72,860 – $100,188 (may vary by geography, skills, education, experience). Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and affirmatively action employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law: Applicants and employees are protected under federal law from discrimination. To learn more, click here. #J-18808-Ljbffr