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Databricks Engineer Jobs in Milwaukee, WI (NOW HIRING)

Data Architect

Racine, WI ยท 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 ...

Basic Qualifications - Bachelor's degree, or equivalent work experience - Typically more than six years of applicable experience - Strong Databricks, Python, and SAS programing and analysis skills ...

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Data & Integration Manager

Brookfield, WI ยท On-site

$150K - $175K/yr

... data engineering, integration, analytics, application development, business intelligence, or ... Hands-on and/or leadership experience with Power BI, Power Apps, Power Automate, Databricks, SQL ...

Support CI/CD implementation and DevOps processes for Informatica deployments. * Mentor development ... Databricks * Delta Lake * Terraform * Git/GitHub * Jenkins * CI/CD pipelines * Agile/Scrum ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

Data Architect

Mequon, WI ยท 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 ...

Data Architect

Mequon, WI ยท 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 ...

Data Strategy-Manager

Milwaukee, WI ยท On-site

$99K - $232K/yr

... Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data governance frameworks - Understanding of modern cloud data ...

Data Governance- Manager

Milwaukee, WI ยท On-site

$99K - $232K/yr

... Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the ...

Showing results 41-60

Databricks Engineer information

See Milwaukee, WI salary details

$58.5K

$109.7K

$199.5K

How much do databricks engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for databricks engineer in Milwaukee, WI is $109,695.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,100.00 and $130,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
What are popular job titles related to Databricks Engineer jobs in Milwaukee, WI? For Databricks Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Milwaukee, WI look for? The top searched job categories for Databricks Engineer jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Databricks Engineer jobs? Cities near Milwaukee, WI with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $109,695 per year, or $52.7 per hour.

Data Architect

CYNET SYSTEMS

Racine, WI โ€ข On-site

$67/hr

Contractor

Re-posted 16 days ago


Job description

Job Overview:

Requirement/Must Have:

  • 10+ years of experience in Data Architecture.
  • 5+ years of experience in Databricks Architecture.
  • 4+ years of experience in BI platforms.

Responsibilities:

  • Define and govern enterprise data architecture standards, frameworks, and best practices.
  • Design scalable and high-performance data platforms supporting reporting, analytics, and advanced data use cases.
  • Architect end-to-end data solutions spanning data ingestion, transformation, storage, governance, and consumption layers.
  • Develop data modernization roadmaps and migration strategies from legacy platforms to modern cloud-based architectures.
  • Establish architectural principles for data quality, security, governance, metadata management, and master data management.
  • Lead the architecture and design of enterprise reporting and analytics solutions.
  • Define semantic models, data marts, reporting layers, and KPI frameworks.
  • Provide architectural guidance for self-service analytics and enterprise reporting initiatives.
  • Ensure optimal performance, scalability, and usability of BI platforms.
  • Architect robust ETL/ELT frameworks and data integration solutions.
  • Design scalable data pipelines supporting batch and near real-time processing.
  • Define data integration patterns across ERP, CRM, cloud, and third-party applications.
  • Guide engineering teams on best practices for data modeling, pipeline design, orchestration, and optimization.
  • Collaborate with business leaders, product owners, and functional teams to understand data and reporting requirements.
  • Conduct requirement Client workshops and translate business needs into architecture and solution designs.
  • Present architecture recommendations and solution options to technical and non-technical stakeholders.
  • Provide thought leadership on emerging technologies, analytics strategies, and data-driven decision making.
  • Lead architecture reviews, design governance, and technical decision-making.
  • Mentor data architects, engineers, and BI developers.
  • Ensure adherence to enterprise architecture standards, security policies, and compliance requirements.
  • Support pre-sales, solution estimation, and transformation initiatives when required.

Skills:

  • Expert-level architecture experience in Power BI and Tableau.
  • Strong understanding of Enterprise Reporting Architecture, Semantic Layer Design, Dashboard and Visualization Best Practices, and Performance Optimization.
  • Strong architecture and implementation experience with Informatica PowerCenter / IICS.
  • Expertise in ETL/ELT Design Patterns, Data Integration Architecture, Data Transformation Frameworks, Data Quality and Reconciliation.
  • Experience designing cloud-based analytics solutions.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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