Work Flexibility: Hybrid

As a Senior Data Engineer, you’ll play a key role in building and optimizing data pipelines, transforming complex requirements into reliable datasets, and enabling analytics that support business growth. In this role, you will work with cutting-edge cloud technologies and collaborate across teams to optimize existing, and new, data engineering workflows to deliver impactful solutions.

* This is a hybrid role requiring 3–4 days per week onsite at our Mahwah, NJ location.

What You Will Do

• Design and build ETL pipelines to ingest and transform data based on project and user requirements.
• Develop and maintain technical documentation, data dictionaries, and requirements gathering artifacts for key systems and assets.
• Collaborate with BI developers and analysts to ensure clean, reliable, and well-documented datasets for reporting and analytics.
• Optimize existing workflows and pipelines for cost efficiency and performance.
• Assist with ERP dataset repointing and Power BI report recreation to support business continuity.
• Translate stakeholder requirements into actionable technical solutions and data architecture improvements.
• Contribute to discussions on data movement and architecture opportunities to enable business growth.
• Prepare and deliver presentations that explain data processes and findings to stakeholders.

What You Will Need

Required Qualifications

• Bachelor’s degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or related field.
• Minimum 2 years of experience in data engineering or related technical role.
• Proficiency in at least one programming language central to data engineering (e.g., SQL, Python, Spark).
• Experience with ETL/ELT processes, pipeline creation, and data warehouse architecture.
• Familiarity with cloud-based data platforms such as Microsoft Fabric, Azure Synapse, Data Factory, or Databricks.
• Proficiency in Power BI.

Preferred Qualifications

• Master’s degree.
• Experience with DAX, Power Query, and Dataflows.
• Experience with object-oriented programming and data structures.
• Knowledge of DataOps, DevOps, and infrastructure-as-code practices using GitHub/GitLab.
• Exposure to cloud-native tools for distributed computing and business intelligence (Azure, AWS, GCP).

$77,200.00 - $160,800.00 salary plus bonus eligible + benefits. Individual pay is based on skills, experience, and other relevant factors.

Posted: December 19, 2025

Travel Percentage: 10%

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability.

Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.