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Temporary Sql Data Engineer Jobs in Wisconsin (NOW HIRING)

Marquette University

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

The Data Engineer is responsible for the comprehensive data and reporting infrastructure at ... Experience with an ETL tool like SSIS, Informatica, Talend, etc. Experience with MLOps pipelines ...

Continuus Technologies LLC

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Experience with SQL and relational databases * Familiarity with at least one programming language (Python preferred) * Basic understanding of data warehousing concepts * Experience with Git or ...

ULINE

Senior Data Engineer

Kenosha, WI

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL ... Knowledge of SSIS, Python, Azure or Databricks is a plus. * Uline does not participate in the H1-B ...

ULINE

Senior Data Engineer

Pleasant Prairie, WI

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL ... Knowledge of SSIS, Python, Azure or Databricks is a plus. * Uline does not participate in the H1-B ...

AgSource

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics workflows. * Use CI/CD and IaC tools (Terraform, ARM, CloudFormation) to automate deployment of ...

Trans Ova Genetics

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics workflows. * Use CI/CD and IaC tools (Terraform, ARM, CloudFormation) to automate deployment of ...

AgSource

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics workflows. * Use CI/CD and IaC tools (Terraform, ARM, CloudFormation) to automate deployment of ...

Farm Systems

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics workflows. * Use CI/CD and IaC tools (Terraform, ARM, CloudFormation) to automate deployment of ...

Urus Group LP

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics workflows. * Use CI/CD and IaC tools (Terraform, ARM, CloudFormation) to automate deployment of ...

Urus

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics workflows. * Use CI/CD and IaC tools (Terraform, ARM, CloudFormation) to automate deployment of ...

Rural Mutual Insurance

Data Engineer

Madison, WI

$120K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... Strong with SQL and other programming languages. (Python preferred) * Experience with version ...

Rural Mutual Insurance

Data Engineer

Madison, WI

$120K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... Strong with SQL and other programming languages. (Python preferred). * Experience with version ...

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Temporary Sql Data Engineer information

What engineer makes $500,000 a year?

A senior or specialized data engineer, particularly those with extensive experience, advanced skills in SQL, cloud platforms, and data architecture, can earn $500,000 or more annually. Such high salaries are typically found in large tech companies, finance, or consulting firms, often involving leadership roles or highly complex projects.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise remains critical for managing data workflows, integrating new tools, and ensuring data quality and security.

Can a SQL developer become a data engineer?

A SQL developer can transition to a data engineer role by gaining skills in data pipeline development, distributed systems, and programming languages like Python or Scala. Data engineers often work with tools such as Apache Spark, Hadoop, and cloud platforms, which may require additional training beyond SQL expertise.

What engineers make $300,000 a year?

Senior data engineers, including those working with SQL and big data tools, can earn $300,000 or more annually, especially with extensive experience, specialized skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or in leadership roles.

What is the difference between Temporary Sql Data Engineer vs Permanent Sql Data Engineer?

AspectTemporary Sql Data EngineerPermanent Sql Data Engineer
DurationShort-term, project-basedLong-term, ongoing employment
CredentialsTypically similar, often requiring SQL, data management skillsSame as temporary, may include additional certifications
Work EnvironmentContract roles, often in consulting or project teamsFull-time in company teams or departments
Employer UsageUsed for specific projects or to fill temporary staffing gapsUsed for ongoing data management and infrastructure

The main difference between a Temporary Sql Data Engineer and a Permanent Sql Data Engineer lies in employment duration and commitment. Temporary roles are project-based and short-term, ideal for specific tasks, while permanent positions offer long-term stability and ongoing responsibilities within an organization.

What are the most commonly searched types of Sql Data Engineer jobs in Wisconsin? The most popular types of Sql Data Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Temporary Sql Data Engineer jobs? Cities in Wisconsin with the most Temporary Sql Data Engineer job openings:
Temporary Sql Data Engineer jobs near you

Data Engineer

CTech Manufacturing

Schofield, WI • On-site

$114K - $137K/yr

Full-time

Retirement

Re-posted 9 days ago

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.