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Sr Data Engineer Jobs in Hanover, WI (NOW HIRING)

Sr. BI Engineer

Beloit, WI

$102K - $140K/yr

... Sr. BI Engineer needed to lead small data management team for top retail company ... Responsibilities will include designing and implementing data management workflows, creating data ...

Senior Process Engineer

Beloit, WI ยท On-site

$101K - $131K/yr

As a Senior Process Engineer at Schreiber Foods, you will play a pivotal role in optimizing our ... Collaborate with Operations Excellence and Data Science/Analytics teams to leverage data for ...

Senior Process Engineer

Beloit, WI ยท On-site

$101K - $131K/yr

As a Senior Process Engineer at Schreiber Foods, you will play a pivotal role in optimizing our ... Collaborate with Operations Excellence and Data Science/Analytics teams to leverage data for ...

Senior Process Engineer

Beloit, WI

$101K - $131K/yr

As a Senior Process Engineer at Schreiber Foods, you will play a pivotal role in optimizing our ... Data Science/Analytics teams to leverage data for process optimization.Lead or assist in the ...

Senior Software Engineer

Oregon, WI ยท On-site

$131.25 - $175/hr

Senior Software Engineer**WME is building the next generation of internal platforms that power one ... Developing AI-powered features that surface insights from operational data* Building and ...

Senior Database Engineer

Janesville, WI ยท On-site

$99.50 - $124/hr

Develop automation scripts, optimize queries, and work closely with developers to integrate ... Data Architecture: Implement all aspects of data architecture, turning event analytics, raw ...

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Showing results 1-20

Sr Data Engineer information

See Hanover, WI salary details

$77.9K

$121.4K

$168.2K

How much do sr data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for sr data engineer in Hanover, WI is $121,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $138,400.00 per year, depending on experience, location, and employer.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What are the key skills and qualifications needed to thrive as a Sr data engineer, and why are they important?

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.
What cities near Hanover, WI are hiring for Sr Data Engineer jobs? Cities near Hanover, WI with the most Sr Data Engineer job openings:
Infographic showing various Sr Data Engineer job openings in Hanover, WI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,436 per year, or $58.4 per hour.

Data Scientist (Decision Sciences Team)

Hispanic Alliance for Career Enhancement

Oregon, WI โ€ข On-site

$65 - $173/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Healthยฎ, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Role Description

CVS/Oak Street Health is looking for a Data Scientist to join our Decision Sciences team. This team is responsible for delivering data-driven solutions to optimize Oak Street Health's innovative care model and ultimately improve patient outcomes. This team works with many stakeholders across the organization in a fast-paced, agile environment leveraging cutting-edge technology to reimagine how healthcare is provided. As a Data Scientist, you will work with other data scientists and analysts on prospective study designs & execution, ROI assessments, and clinical program evaluations & optimizations. You will be involved in creating statistical analysis plans in partnership with program stakeholders and presenting results to a diverse audience. As a member of our team, you will make an immediate impact as you help expand our data science capabilities across our whole care model.

Core Responsibilities:
  • Utilize advanced mathematical and statistical methods to solve business problems under the supervision of senior data scientists
  • Execute exploratory data analysis to validate and quantify trends identified by partner organizations.
  • Develop insights, visualizations, and other data artifacts that support broader data science initiatives
  • Wrangle and analyze large structured and unstructured datasets in a highly repeatable fashion
  • Demonstrate strong communication skills (both written and verbal) and a positive, solution-oriented attitude
  • Other duties as assigned
Minimum Requirements:
  • 3 years of demonstrated experience conducting statistical analysis and machine learning to answer research or business questions (1+ years if candidate has a Masters or PhD)
  • 3 years of experience in SQL and Python programming (1+ years if candidate has a Masters or PhD)
  • Demonstrated ability to decompose multi-tier problems into actionable steps
  • Excellent problem-solving and analytical skills
  • Experience working with large datasets, analyzing data, and extracting meaningful insights
  • Demonstrated ability to communicate complex analytical findings to diverse audiences
Preferred Requirements:
  • Experience with Google Cloud Computing (GCP)
  • Experience with BigQuery
  • Experience working with medical data sets
  • Experience working with data engineering/MLOps teams to productionalize data science models
  • Familiarity with version control (e.g., GitHub) and ML Platforms (e.g., Databricks, GCP Vertex AI, etc.)
  • Familiarity with Medicare, Medicaid, and value-based models of health care
  • Familiarity with Epic Electronic Health Record (EHR) system
Education:
  • A PhD or a Master's degree with 1+ years of relevant experience, or a Bachelor's degree with 3+ years of relevant experience in a STEM field such as Operations Research/ Industrial Engineering, Applied Mathematics, Computer Science, Engineering, or a related field.
Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$64,890.00 - $173,040.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/07/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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