Top 5 Data engineer Jobs in Schofield, Wi

Data Engineer
CTech Manufacturing —Weston, WI
- Computer Science
- SQL
- Analysis skills
- 401(k) matching
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Data Engineer
Delta Dental of Wisconsin Inc —Stevens Point, WI
- Full-time
- Hybrid work
- Azure
- 5 years
- HIPAA
- Health savings account
- Disability insurance

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Data Engineer
CTech Manufacturing —Weston, WI
Stay current with emerging technologies, tools, and best practices in data engineering and analytics. 0-3 years of professional experience in data engineering,…
Quick Apply
Data Engineer
Delta Dental of Wisconsin Inc —Stevens Point, WI
Lead the evaluation and implementation of new data technologies, tools, and platforms. 5 year(s): Professional experience in data engineering, data architecture…

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Data Engineer
Proteam Solutions —Dublin, OH
We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, develop, and optimize enterprise-scale data pipelines.
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5d
Data Engineer
Kimball Midwest —Columbus, OH
5+ years of experience in data engineering or a related field. Architect, develop, and maintain modern data platforms, including data warehouses and lakes.
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Data Engineer

CTech Manufacturing -
Weston, WI

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Job Details

Benefits

401(k) matching

Qualifications

Performance dashboard reports
Data model design
Data modeling
Data visualization software proficiency
Data Integration (Data management)
Dashboard creation
Business intelligence report generation
Dashboard creation support
Schema design
SQL
ETL process automation
Business intelligence tools
Integration Platforms (Enterprise solutions)
Data analytics technologies

Full Job Description

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 looking to build hands-on experience designing modern data solutions that directly impact business operations and decision making. In this role you will work closely with cross functional teams to help transition and modernize our existing ETL pipelines into scalable ELT processes, develop reporting and dashboard solutions, and support future AI and analytics initiatives.

Responsibilities:

Design, develop, and maintain ELT pipelines that move and transform data between business systems and databases

Assist in transitioning ETL workflows into scalable, efficient ELT processes

Work with SQL Server, PostgreSQL, and MongoDB databases to support operational and analytical needs

Develop, maintain, and optimize SQL queries, stored procedures, and database objects

Create and maintain business reports, dashboards, and visualizations using Power BI, SSRS, and related reporting tools

Collaborate with business stakeholders to understand reporting requirements and deliver actionable insights

Monitor and troubleshoot data pipelines, integrations, and reporting workflows to ensure reliability and accuracy

Document data processes, workflows, and technical solutions for internal teams

Collaborate with software developers and operational teams to support enterprise data initiatives

Stay current with emerging technologies, tools, and best practices in data engineering and analytics

Requirements:

Associate’s degree or higher in Computer Science, Data Science, Information Systems, or a related field

0-3 years of professional experience in data engineering, business intelligence, analytics, or related technical roles

Strong foundational knowledge of SQL and relational database concepts

Experience working with SQL Server, PostgreSQL, and/or MongoDB

Familiarity with data integration and workflow tools such as Apache Nifi

Experience developing reports and dashboards using Power BI, SSRS, or similar business intelligence platforms

Understanding of ETL/ELT concepts and data transformation workflows

Basic understanding of data modeling, normalization, and database design principles

Strong analytical and problem solving skills with attention to detail

Ability to manage multiple tasks and prioritize effectively in a collaborative environment

Eagerness to learn new technologies and grow within a data engineering career path

If you meet the above requirements and are excited about the opportunity to work with a talented team on challenging projects, we encourage you to apply. We offer a competitive salary, benefits package, 401(k) match, and opportunities for growth and development within the company. We also provide ongoing training and professional development opportunities to help our team members stay current with emerging technologies and best practices in data engineering.

Quick Apply

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