Data Engineer
Listed on 2026-07-19
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Software Development
Data Engineering
Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.
Apply now for the position of Data Engineer
, and you will help deliver reliable and scalable data solutions that enable oncology care providers, hospitals, and universities to make data-driven decisions. This role sits within the Data Reliability Engineering (DRE) team and reports to the Senior Engineering Manager
. The position plays a key role in ensuring data quality, system reliability, operational excellence, and continuous improvement of analytics and cloud-based solutions supporting ARIA CORE Insights.
- You will design, develop, and maintain data pipelines and analytics solutions that support oncology operational insights and reporting.
- You will monitor, troubleshoot, and optimize cloud-based data platforms to ensure reliability, performance, and data integrity.
- You will investigate technical issues, perform root cause analysis, and collaborate with cross-functional teams to deliver timely resolutions.
- You will contribute to automation initiatives and process improvements that enhance scalability, efficiency, and operational excellence.
- You will work closely with Product Managers, Data Engineers, Analytics teams, and customer-facing teams to translate business requirements into actionable data solutions.
- You will be customer facing to address problems and identify solutions.
- You will validate deployments, system changes, and upgrades to ensure stable and reliable operations.
- Experience:
0–2 years of experience in software engineering, data engineering, analytics, or technical support. - Skills:
Programming experience with 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 Git Hub 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.
The Base Pay Range For This Position Is $72,860 - $100,188
Benefits include 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.
Equal Employment Opportunity StatementSiemens Healthineers is an Equal Opportunity and Affidavit 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.
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