Work Flexibility: Remote

The Staff Data Engineer is responsible for supporting and advancing data intelligence projects by building and managing data ingestion, transformation, and storage to deliver accurate and reliable data to stakeholders.  This position will be part of the Data Engineering team and will bring strong quantitative skills to the team.  In this position you will be engaged on projects that will ultimately use the data for various analytics techniques, such as optimization, forecasting, machine learning, predictive maintenance, visualization, and statistical analysis to develop solutions that help deliver significant value to customers.

Who We Need

• Analytical problem solvers. People who go beyond just fixing to identify root causes, evaluate optimal solutions, and recommend comprehensive upgrades to prevent future issues.
• Dedicated achievers. Relentless about quality, people who thrive in a fast-paced environment and will stop at nothing to ensure a project is complete and meets regulations and expectations.
• Goal-oriented developers. Keeping the customer and system requirements squarely in focus, people who deliver safe and robust solutions.

What You Will Do

Technical Responsibilities:

• Build and implement ETLs using a variety of tools to ensure data can be ingested and processed.
• Understand and apply advanced data engineering theories, principles, and concepts.
• Create and modify complex data flows and models.
• Manage data integrity studies, including optimization studies and performance assessments.
• Monitor existing processing pipelines for errors and perform root cause analysis to develop solutions.
• Work with data of various types and formats including clinical, device, wearables, and demographic data.
• Identify and act upon opportunities to improve the system process flow, cost, performance, and technical efficiencies.
• Continuously seek out industry best practices and develop skills to create new capabilities for data engineering.

Business Responsibilities:

• Participate in customer-facing activities like the voice of customers and customer-centric design in partnership with internal and external stakeholders.
• Lead and deliver presentations and communications that build data engineering credibility and rapport to a medium-sized group with some guidance.
• Identify and support business needs and recommend holistic solutions that integrate with existing data and technical solutions.

General Responsibilities:

• Understand and apply data privacy & security best practices.
• Work cooperatively with all stakeholders to ensure project success.
• Hold self and others accountable to deliver high-quality results with passion, energy, and drive to meet business priorities.
• Collaborate and influence others on cross-functional teams advancing partnerships to achieve business objectives.

What you Need

Minimum Requirements

• 4+ years of experience & Bachelor's Degree in computer science, data analytics, mathematics, statistics, data science or related field with applicable data engineering/architecture.
• Relevant experience developing and optimizing ETLs and pipelines with cloud-based solutions in Azure(preferred), Amazon Web Services, or Google Cloud Platform.
• Experienced using Linux environment.
• Skilled and proficient in data engineering languages including Python and SQL

Preferred Skills / Engineering tools:

• Proficient working knowledge of native cloud-based tools on Microsoft Azure or AWS, including SQL/NoSQL databases, data lakes & blob storage as well as various cloud-based compute solutions such as Databricks or Snowflake and Kubernetes/Docker
• Expert in defining and developing robust ETL pipelines and data orchestration solutions.
• Experience building command line interface tools.
• Skilled in data modeling and semi-structured/unstructured data stores.
• Experience in software development environments using Agile / SCRUM, and code management/versioning (Gitlab preferred).
• Ability to communicate complex plans and technical information to team members.
• Strong problem-solving skills with ability to evaluate and implement the most efficient and effective data engineering solution.
• Strong interpersonal and communication skills.
• Experience with Jira and Confluence.
• Strong analytical skills and ability to derive value from complex clinical, med device, and wearables data
• Azure Data Engineer Associate a plus

$98,000 - $210,000 salary plus bonus eligible + benefits. Actual minimum and maximum may vary based on location. Individual pay is based on skills, experience, and other relevant factors.

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.