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Databricks Jobs in Wisconsin (NOW HIRING)

WI · On-site

$143 - $246/hr

Expertise in Databricks architecture, ecosystem, and strategic account planning. * Ability to travel up to 25-50% as required. Pay Range Transparency Databricks is committed to fair and equitable ...

New

WI · On-site

$180 - $247.50/hr

You will build proofs-of-concept and demonstrate Databricks' products, and you need to be technical and understand the relevance and application of ML & AI across a range of use cases important to ...

WI · On-site

$197.10 - $270.98/hr

Ensure you and your team stays ahead of the curve with advanced knowledge of Databricks and the broader Data and AI ecosystem, continuously learning and achieving certifications. * Collaborate for ...

Senior Data Engineer

Watertown, WI

$101K - $137K/yr

Working primarily in Databricks, you will build and maintain the pipelines and datasets that feed our reporting, analytics, and AI/ML workloads. The ideal candidate will possess expertise in ...

Senior Data Engineer

Watertown, WI · On-site

$101K - $137K/yr

Working primarily in Databricks, you will build and maintain the pipelines and datasets that feed our reporting, analytics, and AI/ML workloads. The ideal candidate will possess expertise in ...

Working primarily in Databricks, you will build and maintain the pipelines and datasets that feed our reporting, analytics, and AI/ML workloads. The ideal candidate will possess expertise in ...

Senior Data Engineer

Watertown, WI · On-site

$101K - $137K/yr

Working primarily in Databricks, you will build and maintain the pipelines and datasets that feed our reporting, analytics, and AI/ML workloads. The ideal candidate will possess expertise in ...

WI · On-site

$182 - $250/hr

Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. * Work with ...

WI · On-site

$120 - $180/hr

* Design, build, and optimize modern data platforms for clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks * Work directly with clients to understand business goals, data ...

New

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

Working primarily in Databricks, you'll develop and maintain pipelines and datasets that power reporting, analytics, and AI/ML workloads. This role works across both modern and established data ...

Data Engineer

Watertown, WI

$109K - $131K/yr

Working primarily in Databricks, you'll develop and maintain pipelines and datasets that power reporting, analytics, and AI/ML workloads. This role works across both modern and established data ...

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

Working primarily in Databricks, you'll develop and maintain pipelines and datasets that power reporting, analytics, and AI/ML workloads. This role works across both modern and established data ...

Data Engineer

Watertown, WI

$109K - $131K/yr

Working primarily in Databricks, you'll develop and maintain pipelines and datasets that power reporting, analytics, and AI/ML workloads. This role works across both modern and established data ...

Data Engineer

Watertown, WI

$109K - $131K/yr

Working primarily in Databricks, you'll develop and maintain pipelines and datasets that power reporting, analytics, and AI/ML workloads. This role works across both modern and established data ...

WI · On-site

$90 - $130/hr

Je bent vertrouwd met Databricks en PBI. Tot slot werk je pragmatisch en volgens Agile-principes. * Sterke ervaring als data/BI consultant * Ervaring met API-documentatie lezen en functionele ...

New

WI · On-site

$219 - $301/hr

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data ...

New

WI · On-site

$120 - $160/hr

En plus il sera aussi en charge du suivi du run et de la maintenance opérationnelle de l'environment PowerBI et Databricks. Pendant toute votre mission vous respectez les règles GDPR, ISO27001 et ...

WI · On-site

$100 - $130/hr

Work with large‑scale data in Databricks. * Partner with AI engineers/developers and business analysts to turn ideas and experiments into production systems. * Apply critical thinking to evaluate ...

New

Showing results 21-40

Databricks information

See Wisconsin salary details

$23.7K

$38.1K

$51.5K

How much do databricks jobs pay per year?

As of Sep 2, 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?

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 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 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.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

Does Databricks hire remote employees?

Databricks offers remote work opportunities for certain roles, especially those related to software engineering, data science, and cloud infrastructure. The availability of remote positions depends on the specific job and team requirements, and candidates should review individual job postings for location details.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that involve working with tools like Apache Spark and machine learning. Employee reviews often cite a collaborative environment and opportunities for skill development, though experiences can vary by role and location.

What are jobs in Databricks?

Jobs in Databricks refer to roles that involve developing, managing, and optimizing data workflows using the Databricks platform, which is built on Apache Spark. These positions often require skills in data engineering, data science, or machine learning, and may involve working with cloud environments, SQL, and programming languages like Python or Scala.

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:

Infographic showing various Databricks job openings in Wisconsin as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% 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.

Lead Engagement Manager, FDE - CMEG

Cacheflow

WI • On-site

$143 - $246/hr

Other

Posted yesterday

New


Job description

CSQ427R242

The Lead Engagement Manager delivers measurable impact for our Communications, Media, Entertainment, & Gaming (CMEG) customers as well as at the Business Unit (BU) or Regional team level in the Forward Deployed Engineering organization. You will own and independently scope multi-quarter, highly complex initiatives to solve problems with no clear precedent, operating with high autonomy in high-stakes environments.

The impact you will have:
  • Regional Impact: Drive excellence at the BU/Region level, contributing to team-level booking targets and consumption goals.
  • Complex Problem Solving: Navigate complex regional, regulatory, or market-specific complexities across multiple countries.
  • Mentorship: Coach and support junior Engagement Managers, acting as a go-to resource for peers on complex projects.
  • Sales Strategy: Shape account strategy to align with client goals and lead the sales of complex Professional Services & Training (PS&T) offerings.
  • Strategic Relationships: Establish and maintain strategic relationships with senior customer stakeholders across multiple engagements.
What we look for:
  • 10+ years of leadership experience in Professional Services.
  • Expert-level understanding of PS&T offerings and the ability to customize solutions for complex environments.
  • Proficient thought leadership, increasingly viewed as an external expert in the industry.
  • Participate in the hiring process to attract top-tier talent.
  • Expertise in Databricks architecture, ecosystem, and strategic account planning.
  • Ability to travel up to 25-50% as required.
Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$178,800 — $245,850 USD

Zone 2 Pay Range

$161,000 — $221,300 USD

Zone 3 Pay Range

$152,000 — $209,000 USD

Zone 4 Pay Range

$143,000 — $196,700 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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