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Freelance Azure Data Engineer Jobs in Milwaukee, WI

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

The Senior Data Engineer will design and build tools and processes that help clients derive ... Azure SQL Database, Azure Synapse Analytics, and large-scale structured and semi-structured ...

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling ... Experience with databases and platforms such as SQL Server, Snowflake, Azure SQL Database, and ...

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling ... Experience with databases and platforms such as SQL Server, Snowflake, Azure SQL Database, and ...

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling ... Experience with databases and platforms such as SQL Server, Snowflake, Azure SQL Database, and ...

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Data & Integration Manager

Brookfield, WI · On-site

$150K - $175K/yr

TOGAF, ITIL, CBIP, PMP, and/or Microsoft Data Engineering / Development / Architecture certifications. * Familiarity with Azure API Management, Infor ION API Gateway, MuleSoft, Boomi, Apigee, Kong ...

Sr. Data Engineer

Pewaukee, WI · On-site

$128 - $150/hr

Experience using Git, Azure DevOps, or similar source control and DevOps platforms. * Experience supporting data governance, data quality, and enterprise data management practices. Preferred ...

Posted today

Sr. Data Engineer

Pewaukee, WI · On-site +1

$112K - $134K/yr

Experience using Git, Azure DevOps, or similar source control and DevOps platforms. Experience supporting data governance, data quality, and enterprise data management practices. Preferred ...

New

Data Strategy-Manager

Milwaukee, WI · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

OverviewThe Junior Data Engineer supports the design, development, and maintenance of data ... Azure, or GCP)Familiarity with ETL tools or orchestration frameworks (Airflow, dbt, Fivetran, etc ...

This is MLG's first-ever Analytics Engineer hire, supporting the modernization of reporting ... Experience with Azure Data Factory, Azure Functions, Microsoft Fabric, Microsoft Purview, or ...

Data Engineer

Delafield, WI · On-site +1

$109K - $131K/yr

Azure resource implementation with a working understanding of networking and security fundamentals, including virtual networks, private endpoints, firewall and IP rules, and managed identities.

New

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Freelance Azure Data Engineer information

See Milwaukee, WI salary details

$15

$62

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How much do freelance azure data engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for freelance azure data engineer in Milwaukee, WI is $62.05, according to ZipRecruiter salary data. Most workers in this role earn between $52.84 and $69.86 per hour, depending on experience, location, and employer.

What does a freelance Azure Data Engineer do?

A Freelance Azure Data Engineer is a professional who designs, builds, and maintains data solutions on Microsoft Azure for various clients or organizations on a contract or project basis. Their responsibilities include developing data pipelines, managing data storage, ensuring data security, and optimizing data processes using Azure services like Azure Data Factory, Azure SQL Database, and Azure Databricks. They often work independently, collaborating with clients to understand requirements and deliver scalable, cloud-based data solutions. This role requires strong knowledge of cloud computing, data engineering best practices, and Microsoft Azure's suite of data tools.

What are the key skills and qualifications needed to thrive as a freelance Azure Data Engineer?

To thrive as a Freelance Azure Data Engineer, you need expertise in data modeling, ETL development, and a strong grasp of cloud data architectures, typically supported by a degree in computer science or related fields. Familiarity with Microsoft Azure data services (such as Azure Data Factory, Synapse Analytics, and Azure SQL Database), proficiency in SQL, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, effective communication, and the ability to work independently distinguish top freelancers in this role. These competencies are crucial for delivering scalable, efficient, and reliable data solutions that meet diverse client needs in dynamic project environments.

What are some common challenges faced by freelance Azure Data Engineers when working with multiple clients?

Freelance Azure Data Engineers often face challenges such as managing diverse client requirements, adapting to different data architectures, and ensuring data security across various environments. Balancing multiple projects can require strong time management and communication skills, especially when clients have overlapping deadlines or use different Azure services. Effective documentation and proactive communication with client teams are essential to align expectations and deliver consistent, high-quality solutions.

What is the difference between Freelance Azure Data Engineer vs Azure Data Analyst?

AspectFreelance Azure Data EngineerAzure Data Analyst
CredentialsAzure certifications, SQL, data engineering skillsAzure certifications, Power BI, data analysis skills
Work EnvironmentProject-based, remote or on-site, client-specificProject-based or full-time, remote or on-site, client or internal teams
Industry UsageUsed across industries for building data pipelines and infrastructureUsed for interpreting data, creating reports, and visualizations

Freelance Azure Data Engineers focus on designing and implementing data infrastructure using Azure, while Azure Data Analysts primarily analyze data and create visual reports. Both roles require Azure certifications but serve different functions in data management and analysis.

What are the most commonly searched types of Azure Data Engineer jobs in Milwaukee, WI?

The most popular types of Azure Data Engineer jobs in Milwaukee, WI are:

What are popular job titles related to Freelance Azure Data Engineer jobs in Milwaukee, WI?

For Freelance Azure Data Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Freelance Azure Data Engineer jobs in Milwaukee, WI look for?

The top searched job categories for Freelance Azure Data Engineer jobs in Milwaukee, WI are:

Infographic showing various Freelance Azure Data Engineer job openings in Milwaukee, WI as of July 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $129,067 per year, or $62.1 per hour.

Senior Data Engineer

SysLogic, Inc.

Brookfield, WI • Remote

$100K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Designs and implements secure data integration solutions for operations and analytics.

  • Performs root cause analysis on data sets and processes to answer business questions and identify improvements.

  • Builds and maintains KPI dashboards to measure results and support business decisions.


Job description

The Senior Data Engineer will design and build tools and processes that help clients derive meaningful insights from their data. They will help clients understand their data needs and how to use data to reach business goals. They will also provide mentoring to data engineers. They will work closely and collaboratively with our Data Architect and Business Solution Advisor, to develop solutions being increase value and confidence in our clients' data environments.

Responsibilities:

  • Designs and implements secure data integration solutions for operations and analytics, leveraging best practices to design and implement high-performing ETL/ELT solutions
  • Performs root cause analysis on data sets and processes to answer specific business questions and identify opportunities for improvement
  • Builds and maintains KPI dashboards to disseminate information to measure/track results and drive business decisions
  • Integrate reports, audits, and processes from various business systems
  • Advocates for data quality and increases awareness of data stewardship and data governance concepts among data producers and consumers
  • Assist with defining and maintaining business rules, policies, and governance for data
  • Collaborates with Data Architect on project goals and approach
  • Assist peers and data engineers as needed, to keep the team as productive and efficient as possible
  • Work with QA and development peers to review and test code changes

Requirements

  • A minimum of eight years of progressive responsibility working as a Data Engineer or Data Integration Developer.
  • Advanced SQL skills with experience working with Microsoft Fabric Lakehouse, Fabric Warehouse, Azure SQL Database, Azure Synapse Analytics, and large-scale structured and semi-structured datasets
  • Knowledge to leverage Artificial Intelligence and Machine Learning capabilities within Microsoft Fabric, Azure Machine Learning, Azure AI Services, and Python-based data science solutions
  • Referenceable work history developing interactive dashboards and data visualizations using Power BI, Fabric Real-Time Intelligence, and Power BI Service
  • Demonstrated capabilities designing, implementing, and supporting cloud-native data platforms utilizing Microsoft Fabric, Microsoft Azure, OneLake, Azure Data Lake Storage Gen2, and Azure data services
  • Strong background working with data integration and orchestration tools including Microsoft Fabric Data Factory, Azure Data Factory, Fabric Pipelines, and related ETL/ELT technologies
  • Experience designing and implementing enterprise data models, dimensional models, data warehouses, Lakehouse architecture, and semantic models within Microsoft Fabric
  • Direct work history working within Agile, Scrum, DevOps, or DataOps development methodologies, including Azure DevOps for project management, CI/CD, and deployment automation
  • Experience with data governance, security, and compliance solutions including Microsoft Purview, Azure role-based access control (RBAC), and Fabric security models
  • Ability to collaborate with business stakeholders, data engineers, analysts, and solution architects to define data requirements and deliver scalable analytics solutions
  • Willingness to travel four to six times per year with no more than 24 days away from home in a calendar year.

This remote role is only open to individuals that reside in one of the following states at the time of application: Wisconsin, Illinois, Iowa, Michigan, Ohio, Indiana, North Carolina, Arkansas, Arizona, Florida or South Dakota.

Candidates will be required to travel to our corporate location for new hire orientation and onboarding.

Statement on AI Usage:

We embrace the responsible use of AI and recognize its growing importance in the workplace. Candidates may use AI tools to research our company, prepare for interviews, and refine application materials, provided the information accurately reflects their own experience, skills, and accomplishments.

During interviews and assessments, however, our goal is to get to know you. We want to understand how you think, communicate, solve problems, and apply your experience in real-world situations. Unless specifically stated otherwise, candidates should not use AI tools to generate responses or provide real-time assistance during interviews or evaluations.

To help ensure a fair, secure, and authentic hiring process, candidates may be asked to provide a verified LinkedIn profile, participate in live video and/or onsite interviews, and complete identity, employment, education, and background verification as permitted by law. We reserve the right to verify that the individual participating in the interview process is the same individual represented in the application and under consideration for employment.

We value integrity, transparency, and authenticity, and we are committed to creating a hiring experience that reflects those principles for every candidate.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Long Term Disability
  • Training & Development
  • Work Life Balance
  • No company politics.
  • Strong employee focused culture.