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Databricks Jobs in Wisconsin (NOW HIRING)

WI · On-site

$100 - $130/hr

You'll work with cutting-edge technologies like Databricks and Kafka, analyzing billions of transactions to ensure compliance and investigations are effectively supported. The company offers ...

WI · On-site

$180 - $240/hr

The ideal candidate will have deep expertise in AWS and Databricks, extensive experience designing enterprise data platforms, and the ability to engage with CXO-level stakeholders to define future ...

WI · On-site

$302 - $325/hr

Working through AWS, Azure, GCP, Databricks, Anthropic, and similar cloud, data, and AI partners, you will open doors, shape opportunities, and expand strategic accounts. You will also selectively ...

New

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 ...

Data Scientist

Appleton, WI · On-site

$120 - $180/hr

Experience with modern data platforms and AI/ML development tools (e.g., Dataiku, Databricks, or similar) * Proficiency in Python and SQL; experience with API/JSON integrations. * Experience with ...

WI · On-site

$144.20 - $288.40/hr

Lead distributed systems and big‑data design for large‑scale telemetry ingestion, processing, and analytics using Apache Spark, Databricks, and Apache Kafka. * Define and implement integration ...

Senior Supply Chain Analyst

Milwaukee, WI · On-site

$77K - $95K/yr

Advanced proficiency with Microsoft Excel, SQL, Power BI, and Databricks. * Advanced proficiency using AI tools such as Claude or ChatGPT to accelerate supply chain analysis, automate routine tasks ...

Senior Supply Chain Analyst

Milwaukee, WI · On-site

$77K - $95K/yr

Advanced proficiency with Microsoft Excel, SQL, Power BI, and Databricks. * Advanced proficiency using AI tools such as Claude or ChatGPT to accelerate supply chain analysis, automate routine tasks ...

WI · On-site

$100 - $130/hr

AWS and Databricks certifications. Benefits We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible ...

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 Aug 11, 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.

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.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

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.

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 often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

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:
Infographic showing various Databricks job openings in Wisconsin as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, and 7% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $38,067 per year, or $18.3 per hour.

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

Northwestern Mutual Life Insurance Company

Milwaukee, WI

Full-time

Posted 27 days ago


Northwestern Mutual rating

8.0

Company rating: 8.0 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

163rd of 304 rated insurance


Job description

About the Job:

We are looking for a highly motivated Security Automation Engineerwith experience in Data Engineeringto join NM'sSecurity Automation & Data Analyticsteam. As a member ofourteam, you willplay a pivotal role indesigning,building andmaintainingcontinuous and sustainableautomatedpipelineswith the goal of enhancing the efficiency, effectiveness and accuracy ofcybersecurity teams'capabilitiesreducing manual tasks fortheIRCteamsand enable data-driven cybersecurity operations.This role requires a mix ofmodern data engineering practices, experience in database structures and tooling,coding, clouddevelopment,and security domainexpertise.

What You'll Do:

  • Design, develop, andmaintainscalable data pipelines, datasets, and analytics products supportingIRCdepartment'sreporting and analyticscapabilities.
  • Developandmaintainenterprise-ready ETL/ELT processes and data transformation frameworksto support data-driven initiatives.
  • Design, buildand supportcloud-based data pipelinesand data lake architecturesusing software and data engineering best practices.
  • Ensure data quality, lineage, integrity, and governance standards are implemented throughout the data lifecycle.
  • Optimizeand troubleshoot existing data pipelines for performance and reliability, ensuring data quality and integrity across various data sources.
  • Identifyopportunities to automate workflows/processesand improve efficiency across cybersecurity teamsthrough SOAR playbooksandKubernetes-hostedand/orcloud-hosted pipelines.
  • Assistwith the design,engineering, deployment, andmaintenance ofcustom automation tools(primarilyinPython and PowerShell)
  • Develop integrationswithsecurity toolsand APIs.
  • Evaluate and implement emerging technologies to improve cybersecurity and analytics capabilities
  • Assistwith the developmentand supportofdashboards,metrics,andmonitoringalerts related totheteam's and the department'soperations.
  • Develop andmaintaindocumentation related totheteam's automated workflows/products.
  • Partner withdata scientists,analysts, engineers, andotherstakeholderstoidentifyrequirementsanddeliverhigh-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 experienceusingSQLandPython.
  • 5+years of professionalexperiencebuilding datapipelines(batch and/or streaming)and datagovernancepractices.
  • Hands-on experience with modern datawarehousesand large-scale data platforms (Databricks Preferred); comfortable working across large-scale,structuredand unstructured data.
  • Deep understanding of database structures principles and best practices
  • Deep understanding of data modeling,ETL/ELT design,data engineering best practices,including dataintegrationpatterns, replication,eventstreaming,and pipeline performance tuning.
  • Hands-on experience withsecurity automation and orchestration tools and/or software development technologies.
  • Comfortable with REST API best practices and usage.
  • Hands-on experience deploying contentand/or systems through CI/CDenvironments, and tooling such as GitLab, GitLab CI, Terraform, Ansible,Kubernetesetc.
  • Hands-on experience with AWS and cloud services configuration and development.
  • Excellent written andverbalcommunicationsskills.
  • Ability to communicatewithtechnical and non-technical audiences.

Preferred Skills:

  • Bachelor's degree in computer science, Cybersecurity, ComputerEngineering,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 withDatabricks
  • Experience with SOAR and SIEM platforms.
  • Practical experience with automation techniquesusingPowerShell, Bash,JavaScript,API calls, and regular expressions
  • Additionalcoding experience in one or more programming languages - Java, C++, Go
  • ServiceNowdevelopment 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, IAMprinciplesand others.


What Sets you apart:

  • 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:

$143,920.00 USD - $215,880.00 USD

Structure 115:

$150,400.00 USD - $225,600.00 USD

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