Easter Seals Jobs

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As the Sr. Data Engineer, you will work with data engineer and analyst teams to continuously improve and maintain our data management framework and infrastructure.

What you will do

• Apply fundamental and intermediate concepts of data engineering and data architecture to support the growth and changing needs of the business

• Apply fundamental and intermediate concepts of data transformation & modeling, programming, and statistical & predictive analytics to support data science and AI initiatives

• Develop and maintain requirements gathering and technical documentation for key systems and data assets and translate stakeholder requirements into technical requirements with some guidance.

• Contribute to discussions on identifying opportunities in data architecture, data science, and engineering to enable business opportunities with key stakeholders.

• Collaborate with cross-functional teams to identify, support, and create scalable solutions.

• Investigate and implement new data engineering methods to support the needs of the business.

• Build and deliver presentations and user trainings that explain critical functions and findings to stakeholders with some guidance.

What you need​

Required:

• Bachelor's Degree in computer science, data analytics, mathematics, statistics, data scienceor related field with applicable data engineering & architecture work experience or 6 years data engineering and architecture work in lieu of degree.

• 2+ years data engineer, data architecture, database administration, data science, information services, or related experience.

• SQL development experience.

• Experience with ETL/ELT optimization, data transformation, cleansing, & data store/warehouse/database concepts.

• Experience with business intelligence, analytics platforms (ex. Power BI, Tableau, etc.).

Preferred:

• Master's Degree or PhD in Computer Science or quantitative discipline.

• Experience with common data programming languages (e.g., SQL, Python, R, Power FX, DAX, M).

• Experience with Azure tools, database, and data warehouse technologies (e.g., Power Platform (Power Apps, Power BI, Power Automate), SQL Server, Azure Synapse, Data Factory, Databricks).

• Experience with machine learning concepts and AI models (e.g. GPT-4, BERT, NLP, forecasting)

• Experience with use of Agile and DevOps methods to deliver projects and maintain data solutions and using Github for versioning control.

$75,300 - $156,900 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.

Health benefits include: Medical and prescription drug insurance, dental insurance, vision insurance, critical illness insurance, accident insurance, hospital indemnity insurance, personalized healthcare support, wellbeing program and tobacco cessation program. Financial benefits include: Health Savings Account (HSA), Flexible Spending Accounts (FSAs), 401(k) plan, Employee Stock Purchase Plan (ESPP), basic life and AD&D insurance, and short-term disability insurance. Stryker offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually. Depending on customer requirements employees and new hires in sales and field roles that require access to customer accounts as a function of the job may be required to obtain various vaccinations as an essential function of their role.

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.