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Freelance Databricks Data Engineer Jobs in Milwaukee, WI

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Data & Integration Manager

Brookfield, WI · On-site

$150K - $175K/yr

Hands-on and/or leadership experience with Power BI, Power Apps, Power Automate, Databricks, SQL ... Bachelor's degree in Information Technology, Computer Science, Data Engineering, Information ...

Generac

Senior Platform & Analytics Analyst

Waukesha, WI · On-site

$86K - $108K/yr

... Databricks, ensuring data integrity, scalability, security, and effective ETL processes. * Collaboration with cross-functional teams in manufacturing, Engineering ops, Marketing & sales involves ...

Charter Manufacturing Company, Inc.

Data Architect

Mequon, WI · On-site

$56.50 - $72.75/hr

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related ... Experience with Azure Data Services, Snowflake, Databricks, PySpark, SQL, Python, Tableau, Power BI ...

Concurrency

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

You'll work with a high-performance engineering team and report directly to the Practice Manager ... ADLS, Databricks, Fabric, Synapse, and related tooling * Define and document reference ...

Charter Automotive

Data Architect

Mequon, WI · On-site

$120 - $180/hr

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related ... Experience with Azure Data Services, Snowflake, Databricks, PySpark, SQL, Python, Tableau, Power BI ...

Concurrency

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

You'll work with a high-performance engineering team and report directly to the Practice Manager ... ADLS, Databricks, Fabric, Synapse, and related tooling * Define and document reference ...

Deloitte

Lead AI and Data Science Engineer II

Milwaukee, WI · On-site

$101K - $133K/yr

... Databricks environments * Experience developing artificial intelligence (AI) or generative ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

CYNET SYSTEMS

Data Architect

Racine, WI · On-site

$67/hr

... of experience in Databricks Architecture. * 4+ years of experience in BI platforms ... Guide engineering teams on best practices for data modeling, pipeline design, orchestration, and ...

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Freelance Databricks Data Engineer information

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$14

$47

$130

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

As of Aug 13, 2026, the average hourly pay for freelance databricks data engineer in Milwaukee, WI is $47.00, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $60.87 per hour, depending on experience, location, and employer.

How do freelance Databricks data engineers typically collaborate with client teams during projects?

Freelance Databricks Data Engineers often work remotely and interact with client teams through regular virtual meetings, project management platforms, and collaboration tools like Slack or Microsoft Teams. Clear communication is crucial, as you'll coordinate closely with data scientists, analysts, and IT stakeholders to understand requirements, deliver solutions, and troubleshoot issues. Establishing a structured workflow and providing frequent progress updates help ensure alignment and project success. Flexibility and proactive problem-solving are especially important in adapting to each client's unique data infrastructure and business goals.

What is the difference between Freelance Databricks Data Engineer vs Freelance Data Engineer?

AspectFreelance Databricks Data Engineer

Required SkillsProficiency in Databricks, Spark, Python, SQL, cloud platforms
Work EnvironmentRemote, project-based, client-specific
CertificationsDatabricks certifications, cloud platform credentials
Industry UsageData analytics, big data projects, AI/ML integrations

Freelance Databricks Data Engineers specialize in building and maintaining data pipelines using Databricks and Spark, often working on big data projects in cloud environments. Freelance Data Engineers may have broader skills across various tools and platforms but might not focus specifically on Databricks. Both roles are remote, project-based, and require similar certifications, but the Databricks-specific expertise makes the Freelance Databricks Data Engineer more specialized in Databricks ecosystems.

What is a freelance Databricks data engineer?

Freelance Databricks Data Engineers are independent professionals who specialize in designing, building, and maintaining data pipelines and analytics solutions using the Databricks platform. They work on a contract basis, often helping organizations with data integration, ETL processes, and leveraging Apache Spark for big data analytics. These engineers typically have expertise in cloud platforms, SQL, Python, and other data engineering tools, and they offer flexible support based on project needs.

What are the key skills and qualifications needed to thrive as a freelance Databricks data engineer?

To thrive as a Freelance Databricks Data Engineer, you need strong skills in data engineering, SQL, Python or Scala, and a solid understanding of big data concepts, often supported by a degree in computer science or related fields. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications (like Databricks Certified Data Engineer) is highly valued. Excellent problem-solving, communication, and self-management skills are essential for collaborating remotely with clients and handling diverse projects. These skills enable efficient data pipeline development, scalable analytics, and successful client delivery in dynamic freelance environments.

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

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

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

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

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

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Cities near Milwaukee, WI with the most Freelance Databricks Data Engineer job openings:

Freelance Databricks Data Engineer jobs near you
Infographic showing various Freelance Databricks Data Engineer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $97,766 per year, or $47 per hour.

Principal Data Architect

Russell Investments

Milwaukee, WI • Hybrid

$160K - $190K/yr

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago

Job description

Salary Range:$160,000 USD - $190,000 USD

Specific compensation will be based on candidate's experience, skills, qualifications,commercial considerations, and other job-related factors permitted by law. At RussellInvestments, salary is just one part of our compensation package. Our total rewardsapproach includes an annual performance bonus (subject to eligibility criteria) in addition toparticipation in our competitive benefits programs including healthcare, retirement, vacation,and wellbeing programs.


Job Description:

Principal Data Architect - Data Platforms

Russell Investments is seeking a hands-on Principal Data Architect to design and build modern data platforms across our enterprise. This role is focused on practical architecture, data modeling, and platform implementation in a hybrid (on-prem + cloud) environment.

You will work closely with engineering, analytics, and platform teams to design scalable data solutions, modernize legacy systems, and enable high-quality data for analytics and AI/ML use cases.

Key Responsibilities

  • Design and implement scalable data architectures, models, and pipelines for analytics and operational use cases.
  • Build and optimize data warehouse and lakehouse solutions using modern cloud platforms (Snowflake, Databricks, Azure).
  • Lead hands-on data modeling (3NF, dimensional, Data Vault) to ensure performance, consistency, and reuse.
  • Execute migration of legacy systems (SQL Server, on-prem) to cloud-based architectures, including hybrid patterns.
  • Implement data quality, MDM, and governance standards directly within data pipelines and models.
  • Enable AI/ML use cases by designing reliable, well-structured, and observable data pipelines.
  • Collaborate with engineering and analytics teams to deliver production-ready data solutions and guide technical design.

Qualifications

Required:

  • 10+ years of hands-on experience in data architecture or data engineering
  • Strong expertise in SQL and relational databases (SQL Server preferred)
  • Strong experience with Snowflake
  • Experience building data pipelines using DBT (3+ years preferred)
  • 5+ years of Proven experience designing and implementing cloud data platforms (Azure preferred)
  • Deep knowledge of data modeling (3NF, dimensional, Data Vault)
  • Experience with data warehouse/lakehouse design and optimization
  • Hands-on experience with data migration and hybrid architectures
  • Excellent communication and stakeholder management across technical and business domains with a demonstrated ability to translate architecture into business outcomes.

Preferred:

  • Experience with Databricks, Spark, or Python
  • Familiarity with data quality, observability, and governance tools
  • Exposure to AI/ML data pipelines or MLOps frameworks
  • Financial services or investment domain experience

This role is not eligible for employment-based immigration sponsorship. Applicants must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Equal Employment Opportunity

Russell Investmentsis committed to providing equal employment opportunities for all associates and employment applicants regardless of race, religion, ancestry, creed, color, gender (including gender identity which refers to a person's actual or perceived sex, and includes self-image, appearance, behavior or expression, whether or not different from that traditionally associated with a person's biological sex), age, national origin, citizenship status, disability, medical condition, military status, veteran status, marital status, sexual orientation, past or present unemployment status , or any other characteristic protected by law.

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