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Data Solutions Developer Jobs in Wisconsin (NOW HIRING)

AWS Data Architect

Neenah, WI ยท On-site

$64.50 - $82.75/hr

Collaborate with data engineers, analysts, and business stakeholders to translate requirements into scalable data solutions * Establish and enforce data governance, security, and compliance ...

Jr. Data Engineer

Germantown, WI ยท On-site

$116K - $139K/yr

This role focuses on building reliable, scalable data solutions that enable analytics, reporting ... Science, Data Engineering, Information Systems, or related field (or equivalent experience ...

Jr. Data Engineer

Germantown, WI ยท On-site

$116K - $139K/yr

This role focuses on building reliable, scalable data solutions that enable analytics, reporting ... Science, Data Engineering, Information Systems, or related field (or equivalent experience ...

Staff Data Engineer

Germantown, WI ยท On-site

$116K - $139K/yr

... solutions.Key ResponsibilitiesArchitect and own scalable, resilient data pipelines and ... Science, Engineering, or related field (or equivalent experience)7+ years of experience in data ...

Data and Analytics Engineer

Milwaukee, WI ยท On-site

$112K - $135K/yr

This role focuses on building and maintaining scalable data solutions, collaborating with business ... and DevOps practices within the analytics engineering environment. โ€ข Design and implement ...

Ensure MDM solutions support multiple data domains, including customer, product, vendor, financial, and other critical enterprise data. * Provide technical leadership in defining data models ...

Data Engineer

Watertown, WI ยท On-site +1

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you'll develop and ...

Data Architect

Mequon, WI ยท On-site

$56.50 - $72.75/hr

... data solutions. * Partner with analytics, engineering, and business teams to accelerate self-service reporting, data science, and machine learning initiatives. * Help define the future-state ...

Data Engineer

Watertown, WI ยท On-site

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you'll develop and ...

Data Engineer

Watertown, WI

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you'll develop and ...

Data Engineer

Watertown, WI ยท On-site

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you'll develop and ...

Data Engineer

Watertown, WI ยท On-site +1

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you'll develop and ...

Data Engineer

West Bend, WI ยท Hybrid

$115K - $139K/yr

This hands-on role builds reliable data solutions, supports our Enterprise Data Warehouse, and ... Maintain engineering best practices around CI/CD, unit testing, performance testing and ...

Showing results 21-40

Data Solutions Developer information

What are the key skills and qualifications needed to thrive as a Data Solutions Developer?

To thrive as a Data Solutions Developer, you need strong programming skills (such as Python, SQL, or Java), a solid understanding of data architecture, and typically a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, cloud platforms (like AWS or Azure), and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication help you collaborate with stakeholders and translate business requirements into technical solutions. These skills ensure the delivery of robust, scalable data solutions that drive informed decision-making and business success.

How does a Data Solutions Developer typically collaborate with data analysts and business stakeholders?

As a Data Solutions Developer, collaboration with data analysts and business stakeholders is integral to delivering effective data-driven solutions. You will frequently engage in requirements-gathering sessions to understand business needs, translate those needs into technical specifications, and iterate on data models or pipelines based on feedback. Regular meetings and clear communication are essential to ensure the solutions you develop align with business goals and analytics objectives. Additionally, you may provide technical guidance to analysts on data access or usage and help stakeholders interpret results from the systems you build.

What is the difference between Data Solutions Developer vs Data Engineer?

AspectData Solutions DeveloperData Engineer
Primary FocusDesigning and developing data solutions and applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsSQL, programming, data modeling, cloud platformsETL, database systems, cloud services, scripting
Work EnvironmentCollaborates with data analysts, developers, and business teamsWorks on data architecture, infrastructure, and backend systems
Industry UsageUsed across industries for data application developmentPrimarily in data-heavy sectors like tech, finance, and healthcare

While both roles involve working with data, Data Solutions Developers focus on creating data applications and solutions, whereas Data Engineers concentrate on building the data infrastructure and pipelines. Understanding these differences helps in choosing the right career path or job role.

What does a data solutions developer do?

A data solutions developer designs, develops, and implements data management and analytics solutions to help organizations process and interpret large datasets. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL processes to create efficient data workflows. Their role involves collaborating with stakeholders to understand data needs and ensuring solutions are scalable and secure.

What are popular job titles related to Data Solutions Developer jobs in Wisconsin?

For Data Solutions Developer jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Data Solutions Developer jobs?

Cities in Wisconsin with the most Data Solutions Developer job openings:

Infographic showing various Data Solutions Developer job openings in Wisconsin as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution.

AWS Data Architect

Princeton IT Services

Neenah, WI โ€ข On-site

$64.50 - $82.75/hr

Contractor

Re-posted 10 days ago


Job description

Job Title: AWS Data Architect

Location: Neenah, WI

Job type: Contract

Position Overview

We are seeking a highly skilled AWS Data Architect to design, build, and optimize cloud-based data platforms that enable scalable analytics and business intelligence. The ideal candidate will bring deep expertise in AWS cloud services, data modeling, data lakes, ETL/ELT pipelines, and big data ecosystems, and will work closely with engineering and business teams to deliver secure, high-performance data solutions.

Key Responsibilities

  • Design and implement end-to-end data architectures on AWS, including data lakes, data warehouses, and streaming solutions
  • Define data ingestion, transformation, and storage strategies using AWS-native services
  • 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 scalable data solutions
  • Establish and enforce data governance, security, and compliance frameworks following AWS best practices
  • Optimize data platforms for performance, scalability, and cost efficiency
  • Lead and support data migration initiatives from on-premises or other cloud platforms to AWS
  • Provide technical leadership, guidance, and mentorship to data engineering teams
  • Document architectures, standards, and best practices

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
  • 7+ years of experience in data architecture, data engineering, or cloud architecture
  • Strong hands-on expertise with AWS services, including:

Storage & Compute:

  • Amazon S3, EC2, Lambda, ECS, EKS

Data Processing & Orchestration:

  • AWS Glue, EMR, Kinesis, Step Functions

Analytics & BI:

  • Amazon Redshift, Athena, QuickSight

Security & Governance:

  • IAM, KMS, Lake Formation
  • Proficiency in SQL and Python
  • Strong experience with ETL frameworks and data pipeline design
  • Solid understanding of data modeling techniques (3NF, Dimensional Modeling, Data Vault)
  • Familiarity with data governance, metadata management, and data quality practices
  • Excellent communication and stakeholder management skills

Preferred Qualifications

  • Experience with large-scale enterprise data platforms
  • Exposure to real-time or streaming data architectures
  • Knowledge of DevOps / CI-CD practices for data platforms
  • AWS certifications (e.g., AWS Certified Data Analytics – Specialty, Solutions Architect)