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Junior Etl Developer Jobs in Wisconsin (NOW HIRING)

Vultus Inc

Data Engineer

Seymour, WI · On-site

$116K - $140K/yr

Build and optimize ETL/ELT workflows from multiple data sources. * Develop complex SQL queries ... Knowledge of CI/CD and DevOps practices. * Experience working with REST APIs and integrating data ...

Artisan Partners

Salesforce Developer

Milwaukee, WI · On-site

$54.75 - $72.50/hr

Support integration and data movement between Salesforce and Snowflake, including ETL/ELT processes ... Salesforce certifications such as Platform Developer I/II, JavaScript Developer I, Platform App ...

Artisan Partners

Salesforce Developer

Milwaukee, WI · Hybrid

$54.75 - $72.50/hr

Support integration and data movement between Salesforce and Snowflake, including ETL/ELT processes ... Salesforce certifications such as Platform Developer I/II, JavaScript Developer I, Platform App ...

Princeton IT Services

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

Architect and oversee ETL/ELT pipelines ensuring reliable, secure, and efficient data flow * Collaborate with data engineers, analysts, and business stakeholders to translate requirements into ...

JW Affinity IT

WI · On-site

$120 - $150/hr

Assists in the development of high quality efficient ETL applications leveraging Transact-SQL stored procedures and other ETL environments. * Monitor the SQL Server database/Business Intelligence ...

New

DTN (Data Transmission Network)

WI · On-site

$120 - $145/hr

Mentor junior data engineers and provide technical leadership to cross‑functional teams. Required Qualifications * 7+ years of data engineering experience, including data pipelines, ingestion, ETL ...

Variyasinc

WI · On-site

$80 - $120/hr

Spark * Cloud Infrastructure: AWS * Coud DevOps * Databases: Teradata, Vertica, Snowflake ... Experience in building or maintaining ETL processes. * Professional certification #J-18808-Ljbffr

New

Ansell

$126K/yr

You will work closely with Data Engineers and business stakeholders to ensure the highest quality of data pipelines, ETL processes, and analytics deliverables. Key Responsibilities * Design Solutions:

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Showing results 21-40

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Junior Etl Developer information

See Wisconsin salary details

$24.2K

$89.8K

$138.8K

How much do junior etl developer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for junior etl developer in Wisconsin is $89,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $87,800.00 per year, depending on experience, location, and employer.

What is a junior ETL developer?

A Junior ETL Developer is responsible for designing, developing, and maintaining data extraction, transformation, and loading (ETL) processes. They assist in gathering requirements, writing ETL scripts, and optimizing data pipelines to support business intelligence and analytics. This role typically involves working with databases, ETL tools, and programming languages like SQL or Python. Junior ETL Developers collaborate with senior developers and analysts to ensure data accuracy and efficiency.

What are typical daily tasks for a junior ETL developer?

As a Junior ETL Developer, your daily responsibilities usually include designing and maintaining ETL processes to move and transform data from various sources into data warehouses or reporting systems. You might also troubleshoot data issues, write and optimize simple SQL queries, and assist senior developers with implementing new data integration solutions. Collaboration with business analysts and data engineers is common, as you work together to ensure data integrity and meet project requirements. Over time, you’ll gain more complex assignments and exposure to different data platforms, helping you grow your technical skills and advance in your data engineering career.

What are the key skills and qualifications needed to thrive in the junior ETL developer position?

To thrive as a Junior ETL Developer, you need a solid understanding of database concepts, SQL, data integration workflows, and a relevant degree in computer science or a related field. Familiarity with ETL tools like Informatica, Talend, or Microsoft SSIS, and basic scripting or programming skills, are commonly required, while certifications in specific ETL platforms are a plus. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborating with data analysts and business stakeholders. These skills ensure accurate and efficient data processing, supporting reliable business intelligence and analytics initiatives.

What are the most commonly searched types of Etl Developer jobs in Wisconsin?

The most popular types of Etl Developer jobs in Wisconsin are:

What are popular job titles related to Junior Etl Developer jobs in Wisconsin?

For Junior Etl Developer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Junior Etl Developer jobs in Wisconsin look for?

The top searched job categories for Junior Etl Developer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Junior Etl Developer jobs?

Cities in Wisconsin with the most Junior Etl Developer job openings:

Junior Etl Developer jobs near you
Infographic showing various Junior Etl Developer job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $89,808 per year, or $43.2 per hour.

Data Engineer

Vultus Inc

Seymour, WI • On-site

$116K - $140K/yr

Full-time

Posted 10 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.