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Databricks Engineer Jobs in Wisconsin (NOW HIRING)

TiTANS Consulting

WI · On-site

$102K - $139K/yr

De rol combineert applicatieontwikkeling, REST API-ontwikkeling, data platform ontwikkeling, Azure Databricks en DevOps / CI-CD praktijken. De Data Engineer werkt nauw samen met de Project Manager ...

Milwaukee Tool

Sr Data Engineer

Menomonee Falls, WI · On-site

$106K - $144K/yr

As a Senior Data Engineer , you will deliver innovative data products that enable Milwaukee Tool to ... Experience with Databricks Unity Catalog, Delta Live Tables, or Databricks Workflows. * DataOps ...

Milwaukee Tool

Sr Data Engineer

Menomonee Falls, WI · On-site

$106K - $144K/yr

As a Senior Data Engineer , you will deliver innovative data products that enable Milwaukee Tool to ... Experience with Databricks Unity Catalog, Delta Live Tables, or Databricks Workflows. * DataOps ...

Milwaukee-Tool

Sr Data Engineer

Menomonee Falls, WI · On-site

$106K - $144K/yr

As a Senior Data Engineer, you will deliver innovative data products that enable Milwaukee Tool to ... Experience with Databricks Unity Catalog, Delta Live Tables, or Databricks Workflows. * DataOps ...

TiTANS Consulting

WI · On-site

Ervaring met Azure Databricks en Python is een pluspunt. * Ervaring met werken in een agile ... Samenvatting van de functie Als Data Engineer ben je verantwoordelijk voor het ontwikkelen van ...

ULINE

Senior Data Engineer

Pleasant Prairie, WI · On-site

$96K - $148K/yr

Help drive Uline's data modernization strategy by leveraging Azure, Databricks and AI automation to improve data accuracy and operational efficiency. * Build scalable data engineering pipelines to ...

ULINE

Senior Data Engineer

Kenosha, WI · On-site

$96K - $148K/yr

Help drive Uline's data modernization strategy by leveraging Azure, Databricks and AI automation to improve data accuracy and operational efficiency. * Build scalable data engineering pipelines to ...

MWI Buying Group

WI · On-site

This is an engineering-focused role centered on writing high-quality software, building AI apps end ... Our Tech Stack Databricks - Unity Catalog, Delta Lake, Databricks Apps, and Databricks AI Gateway ...

TiTANS Consulting

WI · On-site

$111K - $133K/yr

Als Data Engineer & DevOps Expert binnen de afdeling Data Platform van de organisatie speel je een ... Aantoonbare werkervaring met Databricks * Aantoonbare ervaring met data lake-oplossingen (Azure ...

New

AmerisourceBergen Corporation

WI · On-site

Databricks -- Unity Catalog, Delta Lake, Databricks Apps, and Databricks AI Gateway for model ... Strong Python programming skills and solid software engineering fundamentals. * Practical ...

In4Matic

WI · On-site

$102K - $139K/yr

Hands-on expertise with Azure Data Lake Storage Gen2, Azure Synapse, Databricks, Azure Data Factory ... Good understanding of DevOps, Infrastructure as Code, and CI/CD practices. * Strong ability to ...

New

Conch Technologies Inc

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Experience with Snowflake, Databricks, or modern lakehouse architectures. * Experience enabling AI/ML workloads and feature engineering pipelines. * Knowledge of data governance, data quality ...

MWI Buying Group

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 ...

Pointwest Technologies Corp

WI · On-site

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 ...

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Showing results 21-40

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.

Sr. Threat Detection & Automation Engineer (with focus on Data Engineering)

Milwaukee, WI • On-site

Northwestern Mutual Life Insurance Company
Finance and Insurance • 5 - 10K employees
Learn more about Northwestern Mutual Life Insurance Companyexternal

$102K - $134K/yr

Full-time

Re-posted 29 days ago

Northwestern Mutual rating

8.1

Company rating: 8.1 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

Job description

About the Job:
We are looking for a highly motivated Security Automation Engineer with experience in Data Engineering to join NM's Security Automation & Data Analytics team. As a member of our team, you will play a pivotal role in designing, building and maintaining continuous and sustainable automated pipelines with the goal of enhancing the efficiency, effectiveness and accuracy of cybersecurity teams' capabilities reducing manual tasks for the IRC teams and enable data-driven cybersecurity operations. This role requires a mix of modern data engineering practices, experience in database structures and tooling, coding, cloud development, and security domain expertise.
What You'll Do:
  • Design, develop, and maintain scalable data pipelines, datasets, and analytics products supporting IRC department's reporting and analytics capabilities.
  • Develop and maintain enterprise-ready ETL/ELT processes and data transformation frameworks to support data-driven initiatives.
  • Design, build and support cloud-based data pipelines and data lake architectures using software and data engineering best practices.
  • Ensure data quality, lineage, integrity, and governance standards are implemented throughout the data lifecycle.
  • Optimize and troubleshoot existing data pipelines for performance and reliability, ensuring data quality and integrity across various data sources.
  • Identify opportunities to automate workflows/processes and improve efficiency across cybersecurity teams through SOAR playbooks and Kubernetes-hosted and/or cloud-hosted pipelines.
  • Assist with the design, engineering, deployment, and maintenance of custom automation tools (primarily in Python and PowerShell)
  • Develop integrations with security tools and APIs.
  • Evaluate and implement emerging technologies to improve cybersecurity and analytics capabilities
  • Assist with the development and support of dashboards, metrics, and monitoring alerts related to the team's and the department's operations.
  • Develop and maintain documentation related to the team's automated workflows/products.
  • Partner with data scientists, analysts, engineers, and other stakeholders to identify requirements and deliver high-quality solutions and insights.
  • Provide mentorship and coaching to junior team members, fostering skill development and encouraging continuous learning.

What You'll Bring to the Role:
  • 5+ years of professional development experience using SQL and Python.
  • 5+ years of professional experience building data pipelines (batch and/or streaming) and data governance practices.
  • Hands-on experience with modern data warehouses and large-scale data platforms (Databricks Preferred); comfortable working across large-scale, structured and unstructured data.
  • Deep understanding of database structures principles and best practices
  • Deep understanding of data modeling, ETL/ELT design, data engineering best practices, including data integration patterns, replication, event streaming, and pipeline performance tuning.
  • Hands-on experience with security automation and orchestration tools and/or software development technologies.
  • Comfortable with REST API best practices and usage.
  • Hands-on experience deploying content and/or systems through CI/CD environments, and tooling such as GitLab, GitLab CI, Terraform, Ansible, Kubernetes etc.
  • Hands-on experience with AWS and cloud services configuration and development.
  • Excellent written and verbal communications skills.
  • Ability to communicate with technical and non-technical audiences.

Preferred Skills:
  • Bachelor's degree in computer science, Cybersecurity, Computer Engineering, Data Engineering, Software Engineering, or related fields
  • Relevant industry certifications are preferred, such as AWS Certified Data Engineer - Associate Databricks, Certified Data Engineer Associate, or Databricks Certified Data Engineer Professional, demonstrating expertise in modern cloud-based data engineering, analytics, and data platform technologies.
  • Experience with Databricks
  • Experience with SOAR and SIEM platforms.
  • Practical experience with automation techniques using PowerShell, Bash, JavaScript, API calls, and regular expressions
  • Additional coding experience in one or more programming languages - Java, C++, Go
  • ServiceNow development experience
  • Experience with network and/or systems administration
  • Experience working in Security Operations, Incident Response, or Penetration Testing
  • Hands-on experience with security technologies such as firewalls, IDR/IPS, EDR, IAM principles and others.

Skills you have:
  • Adaptive Communication - Adaptive Communication: Formulates strategies to be used to convey complex information about services, products, systems, or processes to targeted audiences; communicates and liaises between technical and non-technical audiences.
  • Data Architecture - Data Architecture: Designs and maintains the structure of logical and physical data assets and data management resources; develops and governs policies and processes for data collection, storage, arrangement, integration, and usage of data.
  • Data ETL - Data ETL: Extracts, transforms, and loads data from multiple sources to a data warehouse or unified data repository.
  • Databases & Data Platforms - Databases & Data Platforms: Utilizes knowledge of databases to access, manage, and update information, typically containing aggregations of data records or files; includes understanding of different types of databases.
  • Engineering Expertise & Practices - Engineering Expertise & Practices: Applies specialized experiences in different facets of engineering, including data, applications, cyber, systems, operations, product, security, and testing, along with technical aptitude to adapt new expertise as they become relevant through an understanding of underlying engineering principles.
  • Programming Languages - Programming Languages: Demonstrates proficiency in one or more programming languages to execute activities, tasks, practices, and deliverables associated with writing and modifying programs and scripts that comprise an application system; designs, codes, tests, and installs complex computer programs and maintains detailed documentation of programming tasks.
  • SQL - SQL: Applies clear, logical codes for small and large-scale projects using the language constructs and object-oriented approach of SQL to manage data in a database management system.

#LI-Hybrid
Compensation Range:
Pay Range - Start:
$130,800.00
Pay Range - End:
$196,200.00
Geographic Specific Pay Structure:
Structure 110:
Structure 115:
We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more.
Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now!
Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.

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About Northwestern Mutual

Sourced by ZipRecruiter

Northwestern Mutual has been helping families and businesses achieve financial security for over 160 years through a distinctive planning approach that integrates risk management with wealth accumulation, preservation, and distribution. With more than $290 billion in assets, $30 billion in revenues and more than $1.9 trillion worth of life insurance protection in force, Northwestern Mutual delivers financial security to more than 4.6 million clients. People are the power behind Northwestern Mutual, and diversity makes us better. We are committed to reflecting and serving the marketplace. We do so by attracting and improving the engagement of those who bring their outstanding perspectives, ideas, and beliefs.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

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