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Data Engineer Data Jobs in Bloomer, WI (NOW HIRING)

Vultus Inc

Data Engineer

Seymour, WI · On-site

$116K - $140K/yr

Data Engineer Experience 2-5 years Job Type Full-time Job Summary We are looking for a skilled Data Engineer to design, develop, and maintain scalable data pipelines and data processing solutions.

CCI Systems, Inc.

Data Center Technicians

Eau Claire, WI · On-site

We are seeking Data Center Technicians who are responsible for installing, splicing, testing, and ... Coordinate with project managers, engineers, and other field crews. * Produce accurate and complete ...

Parker Hannifin Corp.

Manufacturing Engineer I

Chetek, WI

$72K - $92K/yr

Investigate design proposals for improving equipment performance or to obtain data for development ... Confers with management, engineering, and other Departments regarding manufacturing capabilities ...

Parker Hannifin Corp.

Manufacturing Engineer I

Chetek, WI · On-site

$72K - $92K/yr

Investigate design proposals for improving equipment performance or to obtain data for development ... Confers with management, engineering, and other Departments regarding manufacturing capabilities ...

Parker Hannifin Corp.

Manufacturing Engineer I

Chetek, WI · On-site

$72K - $92K/yr

Investigate design proposals for improving equipment performance or to obtain data for development ... Confers with management, engineering, and other Departments regarding manufacturing capabilities ...

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All JobsData Engineer Data JobsData Engineer Data Jobs in Bloomer, WI

Data Engineer Data information

See Bloomer, WI salary details

$48.1K

$172.5K

$254.6K

How much do data engineer data jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer data in Bloomer, WI is $172,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,600.00 and $177,700.00 per year, depending on experience, location, and employer.

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 cities near Bloomer, WI are hiring for Data Engineer Data jobs?

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

Data Engineer Data jobs near you

Data Engineer

Vultus Inc

Seymour, WI • On-site

$116K - $140K/yr

Full-time

Posted 11 days ago

Job description

Data Engineer

Experience

2–5 years

Job Type

Full-time

Job Summary

We are looking for a skilled Data Engineer to design, develop, and maintain scalable data pipelines and data processing solutions. The ideal candidate should have strong experience in SQL, Python, ETL/ELT processes, cloud data platforms, and data warehousing.

Key Responsibilities
  • Design, develop, and maintain reliable data pipelines for batch and real-time data processing.
  • Build and optimize ETL/ELT workflows from multiple data sources.
  • Develop complex SQL queries, stored procedures, and data transformations.
  • Work with data warehouses, data lakes, and cloud-based data platforms.
  • Perform data cleansing, transformation, validation, and integration.
  • Monitor data pipelines and troubleshoot failures, performance issues, and data-quality problems.
  • Optimize data processing jobs and database queries for performance and scalability.
  • Implement data-quality checks and ensure data accuracy and consistency.
  • Collaborate with Data Scientists, BI Developers, Analysts, and Software Engineers.
  • Participate in data architecture and pipeline design discussions.
  • Maintain technical documentation for data pipelines, workflows, and data models.
  • Follow security, governance, and best practices for handling enterprise data.
Required Skills
  • Strong proficiency in SQL.
  • Strong programming experience in Python.
  • Hands-on experience with ETL/ELT pipelines.
  • Experience with data warehousing concepts and dimensional data modeling.
  • Experience with databases such as SQL Server, PostgreSQL, MySQL, or similar.
  • Experience working with cloud platforms such as Microsoft Azure, AWS, or GCP.
  • Understanding of data lakes and distributed data processing.
  • Experience with version control systems such as Git.
  • Strong understanding of data quality, data validation, and error handling.
Preferred Skills
  • Experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, or Databricks.
  • Experience with Apache Spark/PySpark.
  • Knowledge of Power BI and BI data models.
  • Experience with streaming technologies such as Kafka.
  • Knowledge of CI/CD and DevOps practices.
  • Experience working with REST APIs and integrating data from external systems.
  • Familiarity with data governance, security, and compliance.
Education
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Soft Skills
  • Strong analytical and problem-solving skills.
  • Good communication and collaboration skills.
  • Ability to work independently and as part of a team.
  • Strong attention to detail.
  • Ability to troubleshoot complex data issues.
Key Qualifications
  • 2–5 years of hands-on experience in Data Engineering.
  • Strong SQL and Python expertise.
  • Practical experience developing and supporting production data pipelines.
  • Good understanding of cloud data engineering and modern data architecture.