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Databricks Engineer Jobs in Wisconsin (NOW HIRING)

Valid8 Financial, Inc.

Data Engineer

Appleton, WI · On-site

$109K - $130K/yr

Position Summary The Data Engineer will be responsible for designing, building, and maintaining ... Experience with Databricks, Azure Data Factory, or DBT preferred. * Exposure to Microsoft Fabric ...

WinsAbove

WI · On-site

$180K - $247K/yr

FEQ427R58 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics ...

Socket.dev

WI · On-site

$180K - $247K/yr

FEQ427R58 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics ...

AmerisourceBergen Corporation

WI · On-site

Our Tech Stack Databricks platform, Unity Catalog, Delta Lake, Databricks Apps, and Databricks AI ... Forward Deployed Engineers on our team embed directly with healthcare distribution and specialty ...

Menlo Ventures

WI · On-site

$180K - $247K/yr

FEQ427R58 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics ...

MWI Buying Group

WI · On-site

Mentor AI engineers, set coding and architecture standards, and raise the technical bar across the ... Our Tech Stack Databricks platform, Unity Catalog for governance, Delta Lake for data storage ...

Socket.dev

WI · On-site

$57.75 - $76/hr

You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by ...

WinsAbove

WI · On-site

$57.75 - $76/hr

You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by ...

AgSource

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ... Collaborate with front-end developers or build user-facing components using React, TypeScript.

Farm Systems

Senior AI/ML Engineer

Madison, WI

$104K - $143K/yr

Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ... Collaborate with front-end developers or build user-facing components using React, TypeScript.

Urus

Senior AI/ML Engineer

Madison, WI

$104K - $143K/yr

Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ... Collaborate with front-end developers or build user-facing components using React, TypeScript.

AgSource

Senior AI/ML Engineer

Madison, WI · On-site

$104K - $143K/yr

Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ... Collaborate with front-end developers or build user-facing components using React, TypeScript.

Urus Group LP

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ... Collaborate with front-end developers or build user-facing components using React, TypeScript.

Cacheflow

WI · On-site

$57.75 - $76/hr

You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by ...

Techvilla Solutions

ML Ops Engineer

Mequon, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Elm Grove, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Germantown, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Franklin, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Thiensville, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

Techvilla Solutions

ML Ops Engineer

Butler, WI · On-site

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine ... Experience with Apache Airflow, Databricks, Spark, or Kafka. * Knowledge of LLMOps/GenAI deployment ...

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Showing results 41-60

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Wisconsin

Databricks Engineer information

See Wisconsin salary details

$60.1K

$112.7K

$204.9K

How much do databricks engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for databricks engineer in Wisconsin is $112,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,300.00 and $133,700.00 per year, depending on experience, location, and employer.

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.

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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

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 like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in Wisconsin?

For Databricks Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Wisconsin look for?

The top searched job categories for Databricks Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Databricks Engineer jobs?

Cities in Wisconsin with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $112,676 per year, or $54.2 per hour.

Data Engineer

Appleton, WI • On-site

Valid8 Financial, Inc.
Finance and Insurance • 11 - 50 employees
Learn more about Valid8 Financial, Inc.external

$109K - $130K/yr

Other

Medical, Dental, Life, Retirement, PTO

Posted 7 days ago

Job description

Amplifi is the go-to data consultancy for enterprise organizations that want their success to be driven by data. We empower our clients to innovate, grow and succeed by establishing and delivering strategies across all elements of the data value chain. From the governance and management of data through to analytics and automation, our integrated approach to modern data ecosystems delivers measurable results through a combination of expert consultancy and best-in-breed technology. Our company and team members are proud to empower our clients’ businesses by providing exceptional solutions and value, as we truly believe their success is our success. We thrive on delivering excellent solutions and overcoming technical and business challenges. As such, we’re looking for like-minded individuals to learn, grow, and mentor others as a part of the Amplifi family .

Position Summary
The Data Engineer will be responsible for designing, building, and maintaining scalable, secure data pipelines that drive analytics and support operational data products. The ideal candidate brings a strong foundation in SQL, Python, and modern data warehousing with a deep understanding of Snowflake, Databricks, or Microsoft Fabric, and a solid understanding of cloud-based architectures.

What You Will Get To Do

  • Design, develop, and optimize robust ETL/ELT pipelines to ingest, transform, and expose data across multiple systems.
  • Build and maintain data models and warehouse layers, enabling high-performance analytics and reporting.
  • Collaborate with analytics, product, and engineering teams to understand data needs and deliver well-structured data solutions.
  • Write clean, efficient, and testable code in SQL and Python to support automation, data quality, and transformation logic.
  • Support deployment and orchestration workflows, using Azure Data Factory, dbt, or similar tools.
  • Work across multi-cloud environments (Azure preferred; AWS and GCP optional) to integrate data sources and manage cloud-native components.
  • Contribute to CI/CD practices and data pipeline observability (monitoring, logging, alerting).
  • Ensure data governance, security, and compliance in all engineering activities.
  • Support ad hoc data science and machine learning workflows within Dataiku.

What You Bring to the Team

  • 4+ years of experience in a data engineering or related software engineering role.
  • Proficiency in SQL and Python for data manipulation, transformation, and scripting.
  • Strong experience working with Snowflake and MSSQL Server.
  • Practical knowledge of working with cloud data platforms, especially Microsoft Azure.
  • Experience with modern data modeling and warehouse optimization techniques.
  • Experience with Databricks, Azure Data Factory, or DBT preferred.
  • Exposure to Microsoft Fabric components like OneLake, Pipelines, or Direct Lake.
  • Familiarity with cloud services across AWS, GCP, or hybrid cloud environments.
  • Understanding of or curiosity about Dataiku for data science and advanced analytics collaboration.
  • Ability to work independently and with a team in a hybrid/remote environment.

Location

Wisconsin

Travel

Ability to travel up to 10% of the time.

Benefits & Compensation

Amplifi offers excellent compensation and benefits including, but not limited to, health, dental, 401(k) program, employee assistance program, short and long-term disability, life insurance, accidental death and dismemberment (AD&D), PTO program, flex work schedules and paid holidays.

Equal Opportunity Employer

Amplifi is proud to be an equal opportunity employer. We do not discriminate against applicants based on race, religion, disability, medical condition, national origin, gender, sexual orientation, marital status, gender identity, pregnancy, childbirth, age, veteran status or other legally protected characteristics.

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