Stryker Corporation

Senior Lead Data Engineer (Remote)

Stryker Corporation$118K — $196K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, or related field.
  • 6+ years of experience in data engineering or enterprise data platform development.
  • Experience architecting and modernizing scalable cloud-based data platforms.
  • Hands-on with Azure technologies like Databricks and Azure Data Factory.
  • Strong proficiency in SQL and Python, with Spark experience.
  • Experience designing reliable ETL/ELT pipelines and data models.
  • Ability to influence technical direction and mentor engineers.

Responsibilities

  • Lead architecture and development of scalable enterprise data platforms for procurement analytics.
  • Define and execute a multi-year data engineering strategy focused on scalability and automation.
  • Design and optimize Azure-based data solutions.
  • Integrate data across multiple ERP systems into unified data models.
  • Collaborate with various teams to translate business needs into data products.
  • Establish engineering standards and mentor fellow engineers.
  • Identify and implement AI approaches to enhance development and data quality.

Benefits

  • Work flexibility with a remote option.
  • Opportunities for professional growth and mentorship.
  • Engagement in influencing enterprise data strategy and architecture.
  • Collaboration with diverse teams and stakeholders across the organization.
Full Job Description
Work Flexibility: Remote

As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices.

What You Will Do
  • Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation.
  • Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability.
  • Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation.
  • Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models.
  • Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions.
  • Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team.
  • Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity.
  • Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational efficiency.
  • Support the development of internal data products, APIs, and user-facing applications that simplify access to procurement insights and improve analyst productivity.
  • Present technical recommendations, roadmap priorities, tradeoffs, and business impacts to technical and non-technical stakeholders, including leadership teams.


What you need

Required
  • Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field.
  • 6+ years of experience in data engineering, analytics engineering, software engineering, or enterprise data platform development.
  • Proven experience architecting, building, and modernizing scalable cloud-based data platforms in an enterprise environment.
  • Hands-on experience with Azure-based data engineering technologies, including Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation.
  • Strong proficiency in SQL and Python, with experience using Spark or similar distributed data processing frameworks.
  • Experience designing reliable ETL/ELT pipelines, data warehouse or Lakehouse architectures, data models, and performance-optimized analytics solutions.
  • Experience integrating data from multiple ERP or enterprise source systems and harmonizing inconsistent master, supplier, purchasing, or transactional data into common data models.
  • Experience with API integrations, REST services, authentication, security, data governance, and production support practices.
  • Demonstrated ability to establish engineering standards, conduct architecture reviews, improve documentation, mentor engineers, and influence technical direction without direct authority.
  • Ability to partner with analysts, engineers, architects, and business stakeholders to translate complex business requirements into scalable, maintainable engineering solutions.


Preferred
  • Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, Business Analytics, or a related technical field.
  • Experience supporting procurement, supply chain, manufacturing, finance, or ERP analytics in a global enterprise environment.
  • Experience building or modernizing enterprise data platforms, Lakehouse architectures, or cloud analytics ecosystems at scale.
  • Hands-on experience with multiple ERP platforms, such as SAP ECC, SAP S/4HANA, Oracle, JD Edwards, Infor, QAD, or Microsoft Dynamics.
  • Full-stack engineering experience, including React, Next.js, Vercel, API development, authentication, and internal web application development.
  • Experience using AI-assisted engineering tools and workflows, such as GitHub Copilot, ChatGPT, Claude, Cursor, AI coding agents, AI-assisted testing, or AI-assisted documentation.
  • Experience designing internal tools, data products, APIs, or analyst-facing applications that improve productivity and simplify access to insights.
  • Experience leading cloud modernization, platform migration, technical debt reduction, automation, or data quality improvement initiatives.
  • Experience with Power BI, Tableau, or similar business intelligence and visualization tools.
  • Demonstrated curiosity and continuous learning mindset, with a track record of experimenting with emerging technologies and applying them to practical engineering or analytics use cases.


United States of America Pay Ranges:
  • USN: $118,000 - $196,700 USD Annual
  • US5: $123,900 - $206,500 USD Annual
  • US10: $129,800 - $216,400 USD Annual
  • US15: $135,700 - $226,200 USD Annual
  • US20: $141,600 - $236,000 USD Annual
  • US30: $153,400 - $255,700 USD Annual
View the U.S. work location and transparency guide to find the pay range for your location.

Travel Percentage: 10%

About Stryker Corporation

Stryker Networks is a premier Information Technology partner providing IT managed services and database application development.

Stryker Corporation Careers

Joining Stryker Corporation means becoming part of a global team recognized for its commitment to innovation, leadership, and enhancing patient outcomes. As a leading medical technology company, Stryker is the perfect place to build a career that truly makes a difference.

Work You’ll Do

At Stryker, every position contributes to our mission of making healthcare better. Here, you will use your skills to work on transformative projects that improve lives across the globe. You will be part of a culture that thrives on growth, innovation, and leadership, and you will work alongside some of the brightest minds in the industry.

Innovative Careers

Stryker offers a range of job opportunities, from internships that provide a stepping stone into high-impact roles to leadership positions that drive strategic direction. Our team members benefit from a work environment that supports professional growth and diversity training, ensuring everyone, regardless of background, can thrive.

Be Part of a Great Team

Our employees enjoy a collaborative atmosphere that fosters innovation and encourages professional development. With a commitment to leadership and diversity, Stryker ensures that all team members have the opportunity to grow and influence the company's future. Our global scale and dedication to impactful solutions make us leaders in medical technology.

Future-Proof Your Career

Stryker is dedicated to career development, offering extensive training, benefits, and resources to help you advance professionally. From networking opportunities to workshops on resume and interview skills, we support your journey every step of the way. Our career paths are as diverse as the innovative products we develop and the markets we serve.

Explore Job Opportunities

Whether you’re just starting out or looking to take your career to the next level, Stryker provides the tools and resources to achieve your goals. We are continuously hiring and looking for ambitious, curious, and driven individuals to join our team.

Stryker Corporation – A Leader in Medical Technology

Our commitment to improving healthcare through innovative products sets us apart in the medical technology field. The synergy of our team’s expertise and our leadership in technology solutions enables us to meet the needs of our customers effectively.

Stay Connected

Join Our Team Search open positions that match your skills and interest. We look for passionate, creative, and solution-driven team players. Explore the many benefits of employment at Stryker, a company that values innovation and leadership.

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Stryker Corporation – Where Talent Meets Opportunity

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Learn more about Stryker Corporation
Size
46,000 employees
Market Cap
$91.9 billion
Industry
Net Income
$1.5 billion
Founded
2004
5 Year Trend
+8.6%
Revenue
$14.3 billion
NASDAQ

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