Staff Data Engineer

Work Flexibility: Remote or Hybrid or Onsite

Position Summary

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 Skills

• Skilled and proficient in data engineering languages including Python and SQL
• Experience building data pipelines and data storage solutions in a cloud environment
• 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
• Skilled in data modeling, including relational and dimensional modeling, and storage of structured, semi-structured, and unstructured data
• Experience with various data types (structured, semi-structured, unstructured) and analytics needs from reporting to machine learning
• Expert/Master in defining and developing robust ETL pipelines and data orchestration solutions
• Expert in using version control (Gitlab preferred)
• Identify and use the most appropriate tool for particular project or use case
• Continuously seek out industry best practices and develop skills to create new capabilities for data engineering
• Develop talent and provide project leadership in the team's day-to-day project portfolio. Experience with scrum and agile frameworks expected
• Provide a standard common business vocabulary, express strategic requirements, outline high-level integrated designs to meet those requirements, and align with enterprise strategy and related business architecture
• Familiar with data security & data privacy best practices

Business Skills

• Demonstrate financial acumen to understand financial impact for existing projects
• Translate stakeholder requirements to data solutions independently
• Lead discussions with Stryker enterprise across functions to leverage domain expertise and capabilities
• Lead and deliver presentations and communications that build data engineering credibility and rapport to a medium size group with some guidance
• Provides helpful insights in discussions on identifying opportunities where data engineering can be applied to real-world business opportunities with key stakeholder

General Skills:

• Ability to manage individual tasks independently and provide leadership for owned projects
• Experience leading end-to-end data engineering projects: from problem and requirements definition to model/algorithm validation and deployment
• Work cooperatively with all stakeholders to ensure project success
• Apply a strong understanding of Agile/Scrum procedures to enhance digital product development
• Lead and mentor others' root cause/problem-solving efforts, including advanced troubleshooting
• Hold self and others accountable to deliver high-quality results with passion, energy, and drive to meet business priorities
• Ability to communicate complex plans and technical information to team members
• Collaborate and influence others on cross-functional teams advancing partnerships to achieve business objectives

What you will need

Must Haves:

• 4+ years of experience & Bachelor's Degree in computer science, data analytics, mathematics, statistics, data science or related field with applicable data engineering & architecture work experience
• 4+ years of experience in developing and optimizing ETLs and pipelines with cloud-based solutions in Azure (preferred), Amazon Web Services, or Google Cloud Platform
• Coding experience with Python
• Database experience.(SQL Preferred)

Nice to Haves:

• Azure Data Engineer Associate a plus
• Strong problem-solving skills with the ability to evaluate and implement the most efficient and effective data engineering solution
• Ability to understand complex and ambiguous business needs
• Strong interpersonal and communication skills
• Strong analytical skills and ability to derive value from complex clinical, med device, and wearables data

$95,100- $204,400 salary plus bonus eligible + Benefits (Health, Vision, Dental, 401K, Tuition Reimbursement, Employee Assistance Program, Wellbeing Program, Employee Stock Purchase Program). This information reflects the anticipated salary range for this position based on current national data. 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.