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Databricks Data Engineer Jobs in Wisconsin (NOW HIRING)

Serve Robotics

$211K - $246K/yr

Define the data engineering and analytics roadmap, aligned with company goals. This includes ... Hands-on experience with tools such as Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow ...

Acrisure

Software Engineer, Data (L1)

Stevens Point, WI

$111K - $133K/yr

Software Engineer, Data (L1) Austin, TX (Onsite 4 days per week) Note: This is a full-time role and ... Well versed in Databricks/BigQuery/Palantir usage in building enterprise data platforms

Ontech Talent

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 ...

Society Insurance Company

Data Architect

Fond Du Lac, WI

$62.75 - $80.75/hr

Works with data engineering and Agile teams to ensure architecture is implemented effectively ... Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.

Society Insurance Company

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Works with data engineering and Agile teams to ensure architecture is implemented effectively ... Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.

Generac

Senior Platform & Analytics Analyst

Waukesha, WI

$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

$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 ...

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All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Wisconsin

Databricks Data Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do databricks data engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for databricks data engineer in Wisconsin is $130,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

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

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in Wisconsin? The most popular types of Databricks Data Engineer jobs in Wisconsin are:
What are popular job titles related to Databricks Data Engineer jobs in Wisconsin? For Databricks Data Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Databricks Data Engineer jobs in Wisconsin look for? The top searched job categories for Databricks Data Engineer jobs in Wisconsin are:
Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Wisconsin as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $130,930 per year, or $62.9 per hour.
Sr. Manager, Data Engineering & Analytics

Sr. Manager, Data Engineering & Analytics

Serve Robotics

On-site, Remote

$211K - $246K/yr

Full-time

Re-posted 29 days ago

Job description

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
Responsibilities
  • Lead the Team: Lead, mentor, and grow a team of data and analytics engineers. This includes hiring, performance management, career development, planning, and setting technical standards.
  • Technical Leadership: Define the data engineering and analytics roadmap, aligned with company goals. This includes prioritizing data platform investments, reporting needs, analytics capabilities, and cross-functional data initiatives.
  • Data Platform Ownership: Oversee the design, reliability, scalability, and governance of the company's data infrastructure, such as data warehouses, data lakes, ETL/ELT pipelines, orchestration systems, semantic layers, and BI tooling.
  • Analytics Delivery: Ensure business stakeholders have accurate dashboards, metrics, reporting, and ad hoc analysis to support decision-making across functions such as product, operations, finance, sales, marketing, and executive leadership.
  • Empowering Self-Service: Make self-service an organization-wide goal by building rich, trusted datasets and enabling access through AI-powered natural language interfaces.
  • Data Quality and Governance: Establish standards for data accuracy, lineage, documentation, access controls, privacy, security, and compliance.

Qualifications
  • 6+ years of professional experience in data engineering and analytics including 2+ years experience leading teams of Sr. Data/Analytics Engineers.
  • Data leadership experience: Proven experience managing data engineering, analytics engineering, BI, or analytics teams, including hiring, coaching, performance management, and roadmap planning.
  • Strong technical foundation: Deep understanding of data warehouses, data lakes, ETL/ELT pipelines, orchestration, data modeling, BI platforms, semantic layers, and data quality practices.
  • Experience with modern data stacks: Hands-on experience with tools such as Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow, Fivetran, Looker, Tableau, Power BI, or similar platforms.
  • Cross-functional, business-oriented partnership: Strong track record partnering with executives and teams across product, operations, finance, engineering, sales and marketing, translating business goals into data strategy, dashboards and analytics products that improve decision-making.
  • AI-powered self-service analytics experience: Demonstrated ability to build trusted, governed data products and enable organization-wide access through natural language or AI-powered analytics interfaces, with strong controls for accuracy, security, privacy, compliance and usability.
  • Data governance expertise: Experience establishing standards for data quality, documentation, access controls, privacy, security, auditability, metric definitions, and trusted data products, including SOX, SOC2 compliance and compliance with international data policies and regulations (e.g., GDPR, data residency requirements).
  • Education or equivalent experience: Bachelor's degree in computer science, data science, engineering, statistics, mathematics, information systems, or a related field. Advanced degrees are a plus.

*Please note: The listed base salary range applies to candidates based in the US. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely in Canada
  • Canada - ALL: $179,976 - CAD- $221,828 CAD

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