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Data Engineer Data Analyst Jobs in Wisconsin (NOW HIRING)

WI · On-site

$90 - $120/hr

# Data Engineer - DatabricksDiegemApply for this job* Permanent* Experienced Professionals* Data & AI* ID 366634-en\_USChoosing Capgemini means choosing a company where you will be empowered to shape ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Sr Data Engineer

Menomonee Falls, WI

$114K - $138K/yr

As a Sr. Data Engineer, you will design, build, and support scalable data solutions that enable ... Partner with engineering, lab operations, IT, analytics, and business stakeholders to understand ...

... BI Data Analyst Associate, etc.) are a plus. * Eight or more years of professional experience working as a Data Analytics Architect or a Senior Data Integration Developer (Data Engineer) with a ...

Summary As a Data Engineer on the Data Analytics Data Platform (DADP) team, you analyze, develop, and deliver business intelligence solutions primarily using Google Cloud Platform (GCP) data platform ...

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

This role focuses on building reliable, scalable data solutions that enable analytics, reporting ... Science, Data Engineering, Information Systems, or related field (or equivalent experience ...

Data Engineer

Madison, WI

$105K - $120K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

Data Engineer

Madison, WI

$105K - $120K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Data Engineer

Seymour, WI

$116K - $140K/yr

Collaborate with Data Scientists, BI Developers, Analysts, and Software Engineers. * Participate in data architecture and pipeline design discussions. * Maintain technical documentation for data ...

The Data and Analytics Team within the Information Technology department provides enterprise data engineering, analytics, reporting, visualization, and predictive analytics solutions. The team ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

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Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What job categories do people searching Data Engineer Data Analyst jobs in Wisconsin look for?

The top searched job categories for Data Engineer Data Analyst jobs in Wisconsin are:

What cities in Wisconsin are hiring for Data Engineer Data Analyst jobs?

Cities in Wisconsin with the most Data Engineer Data Analyst job openings:

Infographic showing various Data Engineer Data Analyst job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Engineer - Data Analyst

WI • On-site


Capgemini
Technology, Communication and Media • 10K+ employees

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

99th of 226 rated it services

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$90 - $120/hr

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This job post has expired today. Applications are no longer accepted.


Job description

# Data Engineer - DatabricksDiegemApply for this job* Permanent* Experienced Professionals* Data & AI* ID 366634-en\_USChoosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.For a Data Science Project using new technologies, we're looking for an experienced Data Engineer. The initial project is expected to last for 2 years.- Local presence in Antwerpen required for about 50% of the time.- Technology Stack: Required: Azure, Databricks/DBT, Data Modelling A stong plus: Collibra, Datavault Advantage: Oracle - Banking Knowledge would be ideal but is not a prerequisite.- Working Model: Our data engineer will be integrated into a small agile squad, coached by experienced architects and a senior Data Engineer.## Job DescriptionData engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.## Job Description - Grade SpecificThe primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effectively to drive business outcomes.Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | www.capgemini.com #J-18808-Ljbffr


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