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Databricks Jobs in Wisconsin (NOW HIRING)

Baker Tilly US

Associate Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Responsibilities : • Develop scalable, well‑documented ETL/ELT pipelines using T‑SQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement best‑practice patterns for ...

Deloitte

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies * Conduct root cause analysis on production incidents and implement permanent fixes * Mentor junior ...

CenterWell

Senior Business Intelligence Engineer

Madison, WI · On-site

$105K - $144K/yr

Experiencing managing data and pipelines in Databricks is highly valued. You have experience with automation and be able to provide examples of manual processes they've automated. Use your skills to ...

CLA (CliftonLarsonAllen)

Senior AI Engineer

Madison, WI · On-site

$105K - $144K/yr

... Databricks environments • Develop robust evaluation frameworks for both ML models and LLM-based systems • Design and implement AI applications with strong grounding, safety, evaluation, and cost ...

HCLTech

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

Familiarity with Databricks, Snowflake, Synapse, or similar platforms * Familiarity with AI/ML or advanced analytics enablement Maximum Salary (US): 229000 Minimum Salary (US): 155000

New

US Bank

Technology Architect

Brookfield, WI

Experience working with Azure data services (including Synapse or equivalent) , Snowflake , and Databricks. * Familiarity with building AI-enabled applications using AWS services (e.g., Bedrock ...

ClifyX

ETL Test lead

Milwaukee, WI · On-site

... Databricks, Snowflake 5. Power BI/SSRS/SSIS for report testing 6. Messaging events (SNS/SQS/Kafka) 7. Informatica tool for ETL 8. AWS Cloud S3

Cliftonlarsonallen

Senior AI Engineer

Racine, WI · On-site

$98K - $134K/yr

Build and deploy AI workflows within Azure and Databricks environments * Develop robust evaluation frameworks for both ML models and LLM-based systems * Design and implement AI applications with ...

Aristek Consulting

Senior Data Engineer

Pleasant Prairie, WI · On-site

$100K - $137K/yr

Knowledge of SSIS, Python, Azure, Snowflake or Databricks is a plus. Benefits * Complete health insurance coverage and 401(k) with 6% employer match that starts day one! * Multiple bonus programs.

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$23.7K

$38.1K

$51.5K

How much do databricks jobs pay per year?

As of Jun 26, 2026, the average yearly pay for databricks in Wisconsin is $38,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,800.00 and $41,900.00 per year, depending on experience, location, and employer.

What is a Databricks job?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the most commonly searched types of Databricks jobs in Wisconsin? The most popular types of Databricks jobs in Wisconsin are:
What are popular job titles related to Databricks jobs in Wisconsin? For Databricks jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Databricks jobs in Wisconsin look for? The top searched job categories for Databricks jobs in Wisconsin are:
Databricks jobs near you
Infographic showing various Databricks job openings in Wisconsin as of June 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $38,067 per year, or $18.3 per hour.
Associate Data Engineer

Associate Data Engineer

Baker Tilly US

Madison, WI • On-site

$115K - $138K/yr

Full-time

Posted 2 days ago

Baker Tilly rating

8.6

Company rating: 8.6 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

5th of 17 rated bookkeepers and accountants

Job description

Job Summary:
Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage. The Associate Data Engineer will design, build, and optimize modern data solutions, transforming raw data into analytics-ready assets and collaborating with various stakeholders.
Responsibilities:
• Develop scalable, well‑documented ETL/ELT pipelines using T‑SQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement best‑practice patterns for performance, security, and cost control.
• Design relational and lakehouse models; create Fabric OneLake shortcuts, medallion‑style layers, and dimensional/semantic models for Power BI.
• Build automated data‑quality checks, lineage, and observability metrics; contribute to CI/CD workflows in Azure DevOps or GitHub.
• Gather requirements, demo iterative deliverables, document technical designs, and translate complex concepts to non‑technical audiences.
• Research new capabilities, share findings in internal communities of practice, and contribute to reusable accelerators. Collaborate with clients and internal stakeholders to design and implement scalable data engineering solutions.
Qualifications:
Required:
• Education – Bachelor’s in Computer Science, Information Systems, Engineering, or related field (or equivalent experience)
• Experience – 2–3 years delivering production data solutions, preferably in a consulting or client‑facing role.
• Strong T‑SQL for data transformation and performance tuning.
• Python for data wrangling, orchestration, or notebook‑based development.
• Hands‑on ETL/ELT with at least one Microsoft service (ADF, Synapse Pipelines, Fabric Data Pipelines).
Preferred:
• Project experience with Microsoft Fabric (OneLake, Lakehouses, Data Pipelines, Notebooks, Warehouse, Power BI DirectLake)
• Familiarity with Databricks, Delta Lake, or comparable lakehouse technologies
• Exposure to DevOps (YAML pipelines, Terraform/Bicep) and test automation frameworks
• Experience integrating SaaS/ERP sources (e.g., Dynamics 365, Workday, Costpoint)
Company:
Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. Founded in 1931, the company is headquartered in Chicago, IL, US, , with a team of 10001+ employees. The company is currently Late Stage.

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