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Contract Databricks Data Engineer Jobs in Waunakee, WI

Conch Technologies Inc

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Lead Data Engineer Location: Madison, WI (Hybrid) Duration: 6+months C2H (Contract to Hire ... Experience with Snowflake, Databricks, or modern lakehouse architectures. * Experience enabling AI ...

Bakertilly

Associate Data Engineer

Madison, WI · On-site

$85K - $162K/yr

Data Engineering: Develop scalable, welldocumented ETL/ELT pipelines using TSQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement bestpractice patterns for performance ...

Abbott

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Spark on Snowflake or Databricks. * Python, Scala, SQL development. * ETL data pipelines.

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Spark on Snowflake or Databricks. * Python, Scala, SQL development. * ETL data pipelines.

Abbott

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Spark on Snowflake or Databricks. * Python, Scala, SQL development. * ETL data pipelines.

Kforce Technology Staffing

Lead Data Engineer

Madison, WI · On-site

$103K - $136K/yr

Establish data engineering standards, best practices, and architectural patterns * Conduct code ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

The AI Engineer III operates with a high degree of autonomy, making architectural and technical ... Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon ...

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

The AI Engineer III operates with a high degree of autonomy, making architectural and technical ... Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon ...

Michels

Staff Data Product Manager

Madison, WI · On-site

We are consistently ranked among the top 10% of Engineering News-Record's Top 400 Contractors * Our ... Exposure to leading cloud data platforms such as Snowflake, Databricks, Microsoft Fabric, BigQuery ...

Element Materials Technology

Data Processor

Madison, WI · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

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All JobsContract Databricks Data Engineer JobsContract Databricks Data Engineer Jobs in Waunakee, WI

Contract Databricks Data Engineer information

See Waunakee, WI salary details

$45.5K

$132.6K

$181.5K

How much do contract databricks data engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for contract databricks data engineer in Waunakee, WI is $132,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,100.00 and $140,600.00 per year, depending on experience, location, and employer.

What is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

What cities near Waunakee, WI are hiring for Contract Databricks Data Engineer jobs?

Cities near Waunakee, WI with the most Contract Databricks Data Engineer job openings:

Contract Databricks Data Engineer jobs near you
Infographic showing various Contract Databricks Data Engineer job openings in Waunakee, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $132,647 per year, or $63.8 per hour.

Lead Data Engineer

Madison, WI • On-site

Conch Technologies Inc
IT Services • 51 - 200 employees
Learn more about Conch Technologies Incexternal

$115K - $138K/yr

Contractor

Posted 5 days ago

Job description

Hello,
 
Position: Lead Data Engineer
Location: Madison, WI (Hybrid)
Duration: 6+months C2H (Contract to Hire)
 
Job Description:
  • Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field.
  • 8-10+ years of Data Engineering experience.
  • 3+ years in a Lead, Principal, or Senior Data Engineering capacity.
  • Expert-level proficiency with Python for data engineering and data processing.
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Extensive experience with:
    • BigQuery
    • Dataflow
    • Dataproc / PySpark
    • Cloud Composer (Airflow)
    • Pub/Sub
    • Cloud Storage
  • Strong SQL development and data modeling experience.
  • Experience building enterprise-scale ETL/ELT pipelines.
  • Experience working with large-volume datasets and performance optimization.
  • Knowledge of CI/CD, Git, DevOps practices, and automated deployment frameworks.
  • Strong communication and stakeholder management skills.
  • Ability to work independently and lead technical initiatives from concept through production.

Preferred Qualifications

  • Experience with Snowflake, Databricks, or modern lakehouse architectures.
  • Experience enabling AI/ML workloads and feature engineering pipelines.
  • Knowledge of data governance, data quality frameworks, and regulatory compliance requirements.
  • Experience working within large enterprise Agile environments.
 
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Thanks & Regards,
Jeeva K (Sr Technical Recruiter)
jeeva@conchtech.com| 901-466-4709
Conch Technologies, Inc | www.conchtech.com