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Data Engineer Jobs in Green Bay, WI (NOW HIRING)

Data Engineer

Appleton, WI ยท On-site

$111K - $134K/yr

As a Data Engineer at Crescent Electric Supply, you will be responsible for the architecture, development, and management of Crescent's data pipelines, enabling reliable analytics and downstream ...

GCP Data Engineer

Appleton, WI ยท On-site

$75 - $80/hr

GCP Data Engineer - (Subcontract at an NRI) Through NRI Resource Management Services (RMS), we offer custom talent solutions to help our clients meet their evolving technology and business needs. We ...

Senior Data Engineer - IGEN

Appleton, WI ยท On-site

$103K - $140K/yr

POSITION SUMMARY The Senior Data Engineer is the technical leader for IGEN's Data Foundation - architecting, building, and operating the Snowflake data platform, Azure-native ingestion infrastructure ...

Data Architect (GCP)

Appleton, WI ยท On-site

$140K - $170K/yr

The Data Architect will work closely with a team of Data Engineers, Data Analysts, and Data Scientists to establish the technical vision, architecture, and standards for the organization's modern ...

Senior AI Engineer

Green Bay, WI ยท On-site

$140 - $190/hr

Solving entity resolution and data integration across diverse data sources. * Building evaluation ... Collaborate with engineers and data scientists to build and deploy scalable AI-driven features.

Data Scientist

Appleton, WI ยท On-site

$120 - $180/hr

Collaborate with engineering teams to deliver scalable data pipelines and solutions across modern platforms (e.g., Snowflake, Databricks, Dataiku, cloud). * Communicate insights clearly through ...

The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health's Enterprise Data Warehouse. This individual will perform development, analysis, testing, debugging ...

Data Warehouse Developer

Menasha, WI ยท On-site

$70 - $95/hr

Beacon Technologies is seeking a Data Warehouse Developer for our client partner. This is a hybrid position located in Menasha, Wisconsin. Job Responsibilities: * Perform end to end delivery of data ...

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Data Engineer information

See Green Bay, WI salary details

$43.3K

$126.2K

$172.6K

How much do data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data engineer in Green Bay, WI is $126,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $133,700.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Green Bay, WI?

The most popular types of Data Engineer jobs in Green Bay, WI are:

What cities near Green Bay, WI are hiring for Data Engineer jobs?

Cities near Green Bay, WI with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Green Bay, WI as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $126,170 per year, or $60.7 per hour.

Data Engineer

Cesco

Appleton, WI โ€ข On-site

$111K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

As a Data Engineer at Crescent Electric Supply, you will be responsible for the architecture, development, and management of Crescent's data pipelines, enabling reliable analytics and downstream business processes across all entities (Crescent, STWY, WMCK, LOWE). You will build and maintain the platform's Bronze/Silver/Gold data layers, ensures a single source of truth for critical data, and provides indirect leadership and mentorship to the SQL Developers on the data platform team. You will partner closely with the BI & Analytics Developer(s) and business stakeholders to ensure the underlying data is accurate, well-governed, and structured to support self-service reporting and advanced analytics.

PRIMARY DUTIES:

  • Pipeline Architecture & Development: Design, build, and maintain scalable ETL/ELT data pipelines that move data from source systems (Eclipse/Epicor, Salesforce, Workday, and others) into the governed data platform.

  • Data Modeling: Develop and maintain data models and schemas (Bronze/Silver/Gold medallion architecture) that eliminate redundant business logic and establish a single source of truth.

  • Platform Modernization: Lead the technical build-out of the data platform in support of the Google Cloud migration, retiring shadow data paths and truncate-and-reload patterns in favor of governed, auditable processes.

  • AI-Enabled Engineering: Learn and leverage AI coding tools (such as Claude Code) to optimize pipeline code, accelerate development, and streamline data delivery processes; evaluate and champion effective AI-assisted engineering practices across the data platform team.

  • Data Quality & Governance: Engineer governance, validation, and error-handling directly into pipeline design rather than relying on downstream policy; monitor pipeline health and proactively resolve data integrity issues.

  • Technical Mentorship & Leadership: Provide indirect leadership, coaching, and code-review guidance to the SQL Developers on the data platform team; set standards and best practices for SQL development and pipeline design.

  • Cross-Functional Collaboration: Partner with the DBA, BI Developer(s), and business stakeholders to translate business and reporting requirements into technical pipeline and data structure designs.

  • Documentation: Maintain clear technical documentation of data flows, transformations, and architecture to support team continuity and knowledge transfer.

  • Security & Compliance: Ensure data pipelines adhere to data handling, access control, and security standards across all four ERP instances.

QUALIFICATIONS:

  • Bachelor's Degree in Computer Science, Information Systems, or related field, or equivalent practical experience.

  • 5-7+ years of experience in data engineering, ETL development, or database development.

  • Experience supporting multi-entity or multi-ERP environments a plus.

  • Strong hands-on expertise in SQL and relational database systems; working knowledge of NoSQL a plus.

  • Experience building and maintaining ETL/ELT pipelines using tools such as SSIS, Azure Data Factory, or equivalent.

  • Experience with cloud data platforms (Google Cloud, Azure, or AWS); Google Cloud experience strongly preferred.

  • Solid understanding of data modeling concepts, including medallion (Bronze/Silver/Gold) or similar layered architectures.

  • Scripting/programming experience (Python or similar) for automation and data transformation a plus.

  • Experience with ERP systems (Eclipse/Epicor) a plus.

  • Demonstrated ability to mentor and guide less-experienced developers.

  • Strong analytical and problem-solving skills, with the ability to diagnose and resolve data integrity issues in complex, multi-system environments.

  • Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

  • Hands-on AI experience a plus.

  • Willingness to learn and apply AI coding tools (e.g., Claude Code) to optimize development work and streamline pipeline delivery.

PHYSICAL DEMANDS:

  • Frequent sitting, standing, and occasional walking.

  • Occasional reaching, twisting, bending.

  • Extensive use of technology, such as phone, computer, and keyboard.

  • Close vision with clear vision at 20 inches or less.

  • Color vision with the ability to identify and distinguish colors.

  • May be required to work more than 40 hours per week.

#LI-CECE

Total Rewards and Benefits

Crescent Electric's compensation package includes an array of top-tier benefit options, including:

  • Eligibility for health, and dental, vision coverage, 401(k) plan, and flexible spending accounts, subject to plan terms.
  • Eligibility for company-paid benefits such as life insurance, short-term disability, long-term care, and Employee Assistance Program, subject to applicable waiting periods.
  • Excused Absence time off and Paid Time Off (PTO).
  • Company-paid holidays.
  • Other benefits for which you may be eligible includes supplemental life insurance, hospital indemnity, and accident and critical illness benefits with cancer coverage.
  • Eligibility: Employees are eligible for health, dental, vision, and life insurance benefits on the first of the month following 30 days of employment. Employees who are 21 years of age or older will be automatically enrolled in the company's 401(k) plan once they achieve 90 days of employment.

Family Owned. Culture of Quality. Opportunities to Advance.

Crescent is transforming and we are on a missionto power the communities we serve through teamwork and relentless customer focus. We have a visionof uncompromising teamwork committed to becoming the industry leader for our employees, suppliers, and shareholders. At Crescent, you will have the opportunity to develop professionally, grow personally and have the flexibility to balance your life's priorities. Let's serve together. Let's power our communities together. Let's become THE industry leaders...together.

Crescent Electric Supply Company is proudly an Equal Opportunity Employer. Crescent Electric does not discriminate on the basis of age, color, race, national origin, gender, religion, marital status, disability, veteran, military status, sexual identity or expression, sexual orientation, or any other basis prohibited by local, state, or federal law.

Veterans and military spouses are highly encouraged to apply. We recognize and value the unique strengths of the military community in supporting our mission to serve those who have served.

Candidates are subject to pre-employment assessments, Motor Vehicle Record review, criminal background checks, references check, and a post-offer drug screen. Crescent Electric is committed to the full inclusion of all qualified individuals. As part of this commitment, Crescent Electric will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact jobs@cesco.com