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Contract Databricks Developer Jobs in Maple Grove, MN

Saransh Inc

Sr Azure Data Engineer (12+ yrs)

Minneapolis, MN · On-site

$57.50 - $71.25/hr

Contract Experience Required: Min 12+ years Skill Matrix: Skills Required Azure Admin Yes Required ... Azure Databricks Responsibilities: * Design and develop scalable architectures using Azure ...

Wipro Limited

DEVELOPER L3(CONTRACT)

Minneapolis, MN · On-site

$45K - $121K/yr

DEVELOPER L3(CONTRACT) City: Minneapolis State/Province: Minnesota Posting Start Date: 7/20/26 ... databricks work for billing and reporting and future capabilities. 2 HL7 (helthcare ...

Centstone

Database Engineer (Azure)

Minneapolis, MN · On-site

Contract Experience: Minimum 7+ Years Required About the Role We are seeking an experienced ... The ideal candidate will have strong expertise in Azure SQL, Azure Data Lake, Azure Databricks ...

New

Ecolab

Software Engineering Manager

Saint Paul, MN · On-site

The platform is built on C#, React, Rest APIs and Databricks , and we are looking for a leader who ... and full-time/contract team members. * Familiarity with intelligence and data platforms.

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How much do contract databricks developer jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for contract databricks developer in Maple Grove, MN is $62.96, according to ZipRecruiter salary data. Most workers in this role earn between $56.63 and $69.66 per hour, depending on experience, location, and employer.

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are some common challenges faced by Contract Databricks Developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer, and why are they important?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.
What job categories do people searching Contract Databricks Developer jobs in Maple Grove, MN look for? The top searched job categories for Contract Databricks Developer jobs in Maple Grove, MN are:
What cities near Maple Grove, MN are hiring for Contract Databricks Developer jobs? Cities near Maple Grove, MN with the most Contract Databricks Developer job openings:
Contract Databricks Developer jobs near you
Infographic showing various Contract Databricks Developer job openings in Maple Grove, MN as of July 2026, with employment types broken down into 59% Full Time, 22% Part Time, 1% Temporary, and 18% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $130,964 per year, or $63 per hour.

Lead Databricks Engineer with Python (Need Only local to MN)

Sovereign Technologies

Eagan, MN • On-site

Other

Posted 10 days ago

Job description

Title: Senior / Lead Data Engineer

Location: Eagan, MN (Hybrid – 2 days/week onsite)
Duration: 3–6 Months Contract-to-Hire
Start Date: ASAP

Job Summary

We are seeking a Senior/Lead Data Engineer to modernize and own enterprise data pipelines by migrating legacy SAS-based workflows to Python/PySpark on Databricks. The engineer will partner with SMEs during the transition period and eventually take ownership of a critical healthcare analytics pipeline supporting HEDIS reporting.

Key Responsibilities
  • Migrate legacy SAS pipelines to Python/PySpark on Databricks.
  • Design, build, and maintain scalable ETL/ELT pipelines.
  • Develop distributed data processing solutions using Databricks.
  • Create and optimize complex SQL queries.
  • Schedule, automate, and monitor data pipelines.
  • Work with AWS services including S3, Lambda, Glue, and EC2.
  • Manage Databricks notebooks, workflows, and clusters.
  • Collaborate with business stakeholders and SMEs to transition pipeline ownership.
  • Follow Agile methodologies and Git-based development practices.
Required Skills
  • 8+ years of Data Engineering experience.
  • Strong Python programming and scripting skills.
  • Hands-on PySpark development.
  • Extensive Databricks experience (Notebooks, Workflows, Cluster Management).
  • Experience processing large datasets in distributed environments.
  • Strong SQL skills.
  • AWS experience with:
    • S3
    • Glue
    • Lambda
    • EC2
  • Experience building and automating ETL/ELT pipelines.
  • Git/version control experience.
  • Agile/Scrum experience.
Preferred Skills
  • Experience with SAS-to-Python migration.
  • AI/Automation experience.
  • Healthcare or HEDIS domain experience.
  • Lead/Principal Data Engineering experience.
Must-Have Skills
  • Python
  • PySpark
  • Databricks
  • SQL
  • AWS (S3, Glue, Lambda, EC2)
  • ETL/ELT Pipeline Development
  • Distributed Data Processing
  • Git
  • Agile/Scrum
Nice-to-Have Skills
  • SAS Modernization
  • AI/Generative AI
  • Healthcare/HEDIS
  • Airflow or other workflow orchestration tools
  • Leadership/Pipeline Ownership experience

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