Data Engineer

Yesterday

🚗 Michigan – Remote

Although this job is listed in Michigan, this company may be open to hiring remote in other states.

💵 $69.1k - $107.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Stryker

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Healthcare Insurance • Medical Devices • Biotechnology

Stryker is a global leader in medical technology, providing innovative products and services across the healthcare sector. With a presence in countries across the Americas, Asia Pacific, Europe, and the Middle East & Africa, Stryker offers a wide range of medical technologies, including orthopedic implants, surgical equipment, and advanced hospital devices. The company is committed to improving patient outcomes and healthcare efficiency. Stryker continues to expand its global reach, offering localized solutions to meet diverse healthcare needs worldwide.

10,000+ employees

Founded 1941

⚕️ Healthcare Insurance

🧬 Biotechnology

📋 Description

• Assist in executing data engineering projects within the Customer Intelligence portfolio to meet defined timelines and deliverables • Gather and document requirements for new data transformations and ensure alignment with business objectives • Build and maintain ETL pipelines based on user and project specifications to enable reliable data movement • Develop and update technical documentation for key systems and data assets • Work with the Data Governance team on developing data dictionaries and other data quality tools • Support problem-solving by performing root cause analysis and evaluating potential solutions against requirements • Collaborate with cross-functional teams to ensure data architecture supports business opportunities • Monitor and optimize workflows and pipelines for efficiency and scalability

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or related field • Competency in at least one programming language used in data engineering (e.g., SQL, Python, Spark) • Familiarity with ETL/ELT processes, pipeline creation, and data warehouse architecture • Understanding of object-oriented programming and data structures • Basic knowledge of cloud platforms and tools (e.g., Azure, AWS, GCP)

🏖️ Benefits

• health insurance • retirement plans • paid time off • flexible work arrangements • professional development • bonuses