- Work in collaboration with domain architecture and peers to evaluate data engineering methods and tools
- Design, build, and operationalize scalable data pipelines using a variety of technologies, across a multitude of sources and targets
- Assemble data sets that meet functional and non-functional business requirements
- Deploy code using multitier CI/CD framework
- Develop iteratively within the Agile Scrum methodology and participate in Scrum ceremonies
- Communicate well and work directly with stakeholders to support User Acceptance Testing
- Participate in on-call production support rotation
- Competitive compensation based on skills
- Industry leading health, dental, and vision plans
- Generous 401 (K) savings and profit sharing
- On-site UW Health clinic, fitness center, and walking paths
- Education assistance and internal training programs
- Electric vehicle charging
- Maternity & paternity leave
- Interested in learning more on our robust benefits package we offer? Click here
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Data Engineer
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Data Engineer
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Data Integration Engineer
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Lead Data Engineer
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Manager, Data Engineering
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Sr. Data Engineer
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Lead Data Engineer
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TEKsystems Madison, United States: · We are the growth partner for healthcare organizations. We guide people to better health at all stages of their journey, from Discovery to Recovery. Our comprehensive experience and unprecedented reach generate measurable results within the industry. By applying data and anal ...
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Lead, Data Engineering
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WebMD Madison, United StatesPosition at WebMD Mercury Healthcare, a WebMD Provider Services company, is a technology and data analytics company that empowers healthcare organizations to engage consumers and optimize provider networks to accelerate growth. Our customers benefit from more than 30 years' exper ...
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Sr. Data Engineer
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Navitus Health Solutions LLC Madison, United StatesJob Description · Job DescriptionPutting People First in Pharmacy- Navitus was founded as an alternative to traditional pharmacy benefit manager (PBM) models. We are committed to removing cost from the drug supply chain to make medications more affordable for the people who need ...
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Sr. Data Engineer
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M3 Insurance Madison, United StatesThe Opportunity · Are you passionate about leveraging data to drive innovation and create impactful solutions? M3 is seeking a skilled Applied Intelligence Data Engineer to play a pivotal role in our journey towards data excellence. · As an Applied Intelligence Data Engineer, y ...
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Senior Big Data Engineer
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Mid-level Data Engineer
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CyberTec Madison, United StatesJob Title: Mid-level Data Engineer · Visa: USC,GC · Location - 100% remote position - company located in Madison,WI Preferably East or West coast . · Client: Exact Science. · Estimated Duration: 6 month with potential to go long term or permanent · Rate Range - $60-65/hr. /c ...
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Data Center Technical Operations Engineer
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Data Quality Engineer at Madison, NJ
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Sr. Data Engineer
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Associate Data Engineer - Madison, United States - Sub-Zero & Wolf Appliance
Description
Sub-Zero, Wolf, and Cove, the leading manufacturer of luxury kitchen appliances, is a longstanding, family-owned company in the Madison area. Icons of design and paragons of performance and quality, Sub-Zero, Wolf, and Cove are the refrigeration, cooking, and dishwashing specialists found in world's most luxurious homes. We look for team members who are driven by innovation and excellence, striving to serve our customers by doing what is right-with integrity, teamwork, and accountability.
The Data and Analytics Team within the Information Technology department provides enterprise data engineering, analytics, reporting, visualization, and predictive analytics solutions. The team utilizes a wide variety of advanced tools and technologies and works directly with a diverse community of leaders and stakeholders.
Growth and development are important aspects of this position. Whether you aspire to be a leader or a technical expert, this position will set you up for success in the future.
Primary Responsibilities
The Associate Data Engineer participates in the design, development, testing, and implementation of a variety of data pipelines and solutions. They build and support near real-time and batch process data pipelines, ensuring high quality and availability of the data. They create and maintain complex relational, dimensional, and other data structures based upon analytical need and data modeling best practices. A high degree of collaboration across business stakeholders and technical peers is crucial.