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Data Engineer Data Bricks Jobs in Madison, WI (NOW HIRING)

Vertex Group

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Data Engineer Location: Minneapolis, MN and Madison, WI (Locals Only) HYBRID Duration : 6 Months Contract to Hire heavy Azure experience with that Lakehouse, Data Lake and SQL and Python experience ...

CFS

Data Engineer

Madison, WI · On-site

$160K/yr

Sr. Data Engineer | Permanent | No Sponsorship Available ABOUT OUR CLIENT * The company is financially sound, yet their success is not just defined by their profits; it's about living their core ...

Summit Credit Union

Data Engineer

Cottage Grove, WI · On-site

$108K - $130K/yr

As a Data Engineer, you'll play a critical role in shaping and executing Summit's data strategy. Through technical expertise, innovation, and collaboration, you'll help ensure our data is accurate ...

New

Bespoke Labs

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Whitewater, WI

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Whitewater, WI · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Madison, WI

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

AgSource

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Urus

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

AgSource

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Trans Ova Genetics

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Farm Systems

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Urus Group LP

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Summit Credit Union

Data Engineer (Hybrid)

Cottage Grove, WI · On-site

$108K - $130K/yr

As a Data Engineer, you'll play a critical role in shaping and executing Summit's data strategy. Through technical expertise, innovation, and collaboration, you'll help ensure our data is accurate ...

New

Blain's Farm & Fleet

IT Data Engineer

Janesville, WI · On-site +1

$72K - $90K/yr

Job Duties As a Data Engineer, you will play a key role in designing, implementing, and maintaining our data integrations, storage and access solutions. You will work closely with cross-functional ...

Robert Half

Senior Data Engineer

Madison, WI · On-site

$155K - $175K/yr

We are seeking a Senior Data Engineer to design, build, and optimize modern cloud-based data platforms. This role is responsible for developing scalable data pipelines, supporting enterprise ...

New

Moxe

Senior Data Engineer

Madison, WI

$120 - $160K/hr

The Senior Data Engineer is responsible for software development and data engineering projects. Identifies and executes tasks in the software development life cycle, reviews and debugs codes. They ...

Blain's Farm & Fleet

IT Data Engineer

Janesville, WI · On-site

$72K - $90K/yr

Job Duties As a Data Engineer, you will play a key role in designing, implementing, and maintaining our data integrations, storage and access solutions. You will work closely with cross-functional ...

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Showing results 1-20

All JobsData Engineer Data Bricks JobsData Engineer Data Bricks Jobs in Madison, WI

Data Engineer Data Bricks information

See Madison, WI salary details

$44.8K

$130.7K

$178.9K

How much do data engineer data bricks jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data engineer data bricks in Madison, WI is $130,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,400.00 and $138,500.00 per year, depending on experience, location, and employer.

What are Data Engineer Data Bricks?

A Data Engineer specializing in Databricks is a professional who designs, builds, and maintains data pipelines and infrastructure using the Databricks platform. Databricks is a cloud-based data analytics platform that facilitates big data processing, machine learning, and collaborative analytics. Data Engineers use Databricks to process large datasets, automate data workflows, and support data-driven decision-making for organizations. Their responsibilities often include cleaning and transforming data, optimizing data storage, and ensuring efficient data movement across systems.

What is the difference between Data Engineer Data Bricks vs Data Engineer Apache Spark?

AspectData Engineer Data BricksData Engineer Apache Spark
CredentialsTypically requires cloud platform certifications (Azure, AWS), Spark knowledge, and data engineering skillsRequires Spark expertise, programming skills, and often similar cloud certifications
Work EnvironmentCloud-based platforms with integrated tools, collaborative environment, managed servicesOn-premises or cloud, more manual setup, flexible environment
Industry UsagePopular in cloud-centric companies, data lakes, and analytics platformsWidely used across industries for big data processing, on-premises or cloud

Data Engineer Data Bricks focuses on cloud-based, managed Spark environments with integrated tools, while Data Engineer Apache Spark emphasizes core Spark skills applicable in various environments. Both roles require similar technical knowledge but differ mainly in platform and deployment context.

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

To thrive as a Data Engineer specializing in Databricks, you need strong expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, SQL, cloud platforms (like AWS or Azure), and relevant certifications (such as Databricks Certified Data Engineer) is typically required. Strong analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams and translating business needs into data solutions. These skills ensure efficient data pipeline development, reliable data management, and impactful analytics in data-driven organizations.

What are some common challenges Data Engineers face when working with Databricks, and how can they be addressed?

Data Engineers working with Databricks often encounter challenges related to optimizing large-scale data pipelines, managing cluster resources efficiently, and ensuring seamless data integration across varied sources. Addressing these issues typically involves staying current with Databricks best practices, such as implementing Delta Lake for reliable data storage, using job scheduling to automate workflows, and proactively monitoring cluster performance. Collaborating closely with data scientists and analysts is also crucial to align data models and streamline the analytics process.
What are popular job titles related to Data Engineer Data Bricks jobs in Madison, WI? For Data Engineer Data Bricks jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Bricks jobs in Madison, WI look for? The top searched job categories for Data Engineer Data Bricks jobs in Madison, WI are:
Data Engineer Data Bricks jobs near you

Data Engineer

Vertex Group

Madison, WI • On-site

$115K - $138K/yr

Other

Posted 12 days ago

Job description

JOB Title: Data Engineer

Location: Minneapolis, MN and Madison, WI (Locals Only) HYBRID

Duration: 6 Months Contract to Hire

heavy Azure experience with that Lakehouse, Data Lake and SQL and Python experience necessary to be successful. Also must have the dbt experience as well!

Role Summary:

Senior, handson data engineering contractor to support Modern data platform delivery across Health Payer Domains. This role requires independent ownership of endtoend data pipelines using modern cloud and Lakehouse architecture. This is a hitthegroundrunning role with minimal rampup.

  1. Key Responsibilities:
  • Design, build, and operate endtoend data pipelines
  • Source ingestion transformation analyticsready datasets
  • Develop transformations and data models using SQL and Python
  • Implement automated data quality checks and validations
  • Follow Gitbased development
  • Collaborate with business/domain stakeholders on data rules and definitions
  • Ensure solutions are secure, auditable, reliable, and supportable
  • Produce clear technical documentation and operational notes
  1. Required Technologies (MustHave)

Candidates must have strong, recent handson experience with most of the following:

Languages:

  • SQL
  • Python (PySpark preferred)

Data Platforms / Storage:

  • Cloud data platforms (Azure preferred; AWS/Google Cloud Platform acceptable)
  • Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent
  • Object storage based data lakes
  • Parquet format
  • Lakehouse concepts (Iceberg and/or Delta)

Transformation & Modeling:

  • dbt (dbt Core and/or dbt Cloud)

Source Control, GitOps & CI/CD:

  • GitHub
  • Pull request based development
  • CI/CD pipelines (GitHub Actions or equivalent)

Compute (one or more):

  • Snowflake
  • Microsoft Fabric
  • Databricks
  1. Preferred / NicetoHave Technologies:
  • Microsoft Fabric Data Factory / Azure Data Factory
  • Fabric or Databricks Notebooks
  • Orchestration tools (Airflow, Dagster, or similar)
  • Healthcare / payer domain experience (Clinical, Claims, Provider)
  1. Required Experience:
  • 7+ years of handson data engineering experience
  • Proven delivery of productiongrade data pipelines
  • Experience working independently with minimal supervision
  • Strong understanding of data quality, reliability, and operational readiness
  1. Ideal Candidate Profile:
  • Senior, handson data engineer
  • Engineering generalist (not toolonly or reportingonly)
  • Comfortable working in ambiguous, fastmoving environments
  • Strong delivery and ownership mindset

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