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Data Engineer Data Jobs in Wisconsin (NOW HIRING)

Shopko Optical

Data Engineer I

Green Bay, WI · On-site

$111.40K - $133.70K/yr

Data Engineer Onsite- Green Bay, WI. Responsible for the development and maintenance of data pipeline infrastructures, ensuring the seamless flow of data for various needs within the organization.

CTech Manufacturing

Data Engineer

Schofield, WI · On-site

$114.10K - $137.10K/yr

Description: We're seeking a motivated and detail oriented Data Engineer to join our growing technology team. This is an excellent opportunity for a recent graduate or early career professional ...

CTech Manufacturing

Data Engineer

Schofield, WI · On-site

$114.10K - $137.10K/yr

CTech Manufacturing is seeking a motivated and detail oriented Data Engineer to join their growing technology team. The role involves designing modern data solutions, transitioning ETL pipelines into ...

Delta Dental Of Wisconsin

Data Engineer

Stevens Point, WI · On-site

$111.40K - $133.70K/yr

Delta Dental of Wisconsin is seeking a Data Engineer to design, build, and maintain the data infrastructure and pipelines that enable Delta Dental of Wisconsin to collect, process, and access high ...

Shoptikal, LLC

Data Engineer I

Green Bay, WI · On-site

$111.40K - $133.70K/yr

... engineers DATA INTEGRATION • Assist with integrations from various data sources into the data ecosystem • Assist in maintaining connections with internal and external APIs • Support data ...

Fielmann USA

Data Engineer I

Green Bay, WI · On-site

$111.40K - $133.80K/yr

... engineers DATA INTEGRATION • Assist with integrations from various data sources into the data ecosystem • Assist in maintaining connections with internal and external APIs • Support data ...

Marquette University

Data Engineer

Milwaukee, WI · On-site

$112.80K - $135.50K/yr

Posting Details Posting Details Posting Number NA01568 Position Information Position Title Data Engineer State Employment Status Full Time Position Status Regular If Limited Term (End Date of ...

Marquette University

Data Engineer

Milwaukee, WI · On-site

$112.80K - $135.50K/yr

Posting Details Posting Details Posting Number NA01568 Position Information Position Title Data Engineer State Employment Status Full Time Position Status Regular If Limited Term (End Date of ...

HonorVet Technologies

Data Engineer

Appleton, WI · On-site

$109K - $130.90K/yr

Data Engineer Location: Appleton, WI * Must have: PySpark, Python Databricks We are building out an Enterprise Data Platform (EDP) entirely on the cloud, utilizing Databricks on AWS. The project ...

MARS IT

Data Engineer

Milwaukee, WI

$112.80K - $135.50K/yr

The Senior Data Engineer (DevOps/AWS Migration) - HR workforce data analytics: is responsible for designing, developing, deploying, and supporting cloud based data and software solutions across the ...

Kyyba

Data Engineer

Menasha, WI · On-site +1

$117.10K - $140.70K/yr

Job Title: (Data Engineer) About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services ...

Syntricate Technologies

Data Engineer

Milwaukee, WI · On-site

$112.80K - $135.50K/yr

Data Engineer Location: Milford or Milwaukee, WI | On-site Interview mode: Zoom Video Interview Terms: 12 months+ Locals - Highly preferred Skills: Data Warehousing applications, ETL, IBM, AWS ...

Pwc

Data Strategy-Manager

Milwaukee, WI

$99K - $232K/yr

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

Continuus Technologies

Jr. Data Engineer

Germantown, WI · On-site

$116.50K - $139.90K/yr

Overview The Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that ...

Continuus Technologies LLC

Jr. Data Engineer

Germantown, WI · On-site

$116.50K - $139.90K/yr

Overview The Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that ...

Pwc

Data Governance- Manager

Milwaukee, WI

$99K - $232K/yr

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

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Data Engineer Data information

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 solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.

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

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

What are popular job titles related to Data Engineer Data jobs in Wisconsin? For Data Engineer Data jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data jobs in Wisconsin look for? The top searched job categories for Data Engineer Data jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Engineer Data jobs? Cities in Wisconsin with the most Data Engineer Data job openings:
Data Engineer Data jobs near you
Data Engineer I

Data Engineer I

Shopko Optical

Green Bay, WI • On-site

$111.40K - $133.70K/yr

Other

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

Shopko Optical rating

5.9

Company rating: 5.9 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

23rd of 38 rated optical retailers

Job description

Data Engineer

Onsite- Green Bay, WI.

Responsible for the development and maintenance of data pipeline infrastructures, ensuring the seamless flow of data for various needs within the organization. Work alongside data professionals, contributing to the design and implementation of data architectures that meet the evolving needs of the business. Support the transformation of raw data into usable information for analysts and other internal stakeholders.

Duties And Responsibilities

Data Pipeline Development

  • Assist in building and maintaining data pipelines from internal databases and SaaS applications
  • Support the development of ETL (Extract, Transform, Load) processes
  • Assist in implementing data validation and quality checks to ensure accuracy and consistency
  • Write clean, documented, and maintainable code following established standards

Data Infrastructure Support

  • Assist in maintaining databases, data warehouses, and data lake components
  • Support the configuration and monitoring of data infrastructure
  • Assist in troubleshooting basic data processing issues and escalate complex problems
  • Participate in code reviews and incorporate feedback from senior engineers

Data Integration

  • Assist with integrations from various data sources into the data ecosystem
  • Assist in maintaining connections with internal and external APIs
  • Support data ingestion processes for structured and unstructured data
  • Document integration processes and data flow for transparency and standardization

Collaboration & Documentation

  • Create and maintain systems and process documentation
  • Collaborate with various engineers and analysts to support their work
  • Participate in team meetings and contribute to planning discussions
  • Actively seek out learning opportunities and keep up with advancements in data engineering practices
Minimum Knowledge, Experience & Skills Requirements

Bachelor's degree in computer science, data engineering, information systems, or related field or equivalent experience

1 - 2 years of experience in data engineering, software development or related roles

Experience using Python, Java, or Scala for data processing (Python preferred)

Familiar with data-related Python packages (pandas, NumPy)

Basic understanding of SQL and relational databases

Basic knowledge of version control systems (Git)

Understanding of data modeling fundamentals preferred

Knowledge of Linux/UNIX operating systems preferred

Exposure to cloud platforms (AWS, Azure,or Google Cloud Platform)

Able to take direction, prioritize work, and manage multiple activities simultaneously

Excellent communication skills

Able to work independently and as part of a team

Willing to share knowledge and experience with other members of the team

Strong analytical and problem-solving skills

Attention to detail and commitment to data quality

Solid planning and organizational skills

Proficiency with Microsoft Office Suite of programs

Essential Functions & Work Requirements

Ability to effectively communicate at all levels within the organization through written and two-way verbal communication

Able to read and write at a high school graduate level

Able to sit or stand for extended periods of time

Able to operate various office equipment (e.g., personal computer, telephone, fax machine, copier, etc.)

Able to lift 10 to 20 pounds

Able to work overtime and regular and/or extended (evenings, nights, and weekends) office hours to meet established deadlines

Able to travel independently to support Company objectives and personal development

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