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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 ...

Judge Group, Inc.

Cloud Data Architect

Minneapolis, MN

$170K - $175K/yr

... data contracts, lineage) across different data organizations Reviews design and elevate ... Architect and implement scalable solutions using Snowflake and Databricks on AWS and Azure Design ...

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All JobsContract Databricks Developer JobsContract Databricks Developer Jobs in Maple Grove, MN

Contract Databricks Developer information

See Maple Grove, MN salary details

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$81

How much do contract databricks developer jobs pay per hour?

As of Jun 21, 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 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 June 2026, with employment types broken down into 2% As Needed, 18% Full Time, 44% Part Time, and 36% 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 (Only local to MN)

Sovereign Technologies

Eagan, MN • Hybrid

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Lead Databricks Engineer (Contract-to-Hire)

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

< data-start=168 data-end=184>Job Summary

We are seeking a Senior/Lead Data Engineer to modernize and enhance critical enterprise data pipelines by migrating legacy SAS workflows to Python/PySpark on Databricks. This role will initially work alongside SMEs during knowledge transfer and then assume ownership of a high-impact data platform supporting healthcare analytics and reporting.

< data-start=531 data-end=551>Required Skills
  • Strong Data Engineering and application development experience
  • Expert-level Python development and scripting
  • Hands-on experience with PySpark and Databricks
  • Experience building and maintaining large-scale distributed data pipelines
  • Strong SQL skills for complex data extraction, transformation, and optimization
  • Experience with Databricks notebooks, workflows, and cluster management
  • AWS experience with S3, Lambda, Glue, and EC2
  • Experience scheduling, automating, and monitoring data pipelines
  • Git/version control experience in collaborative development environments
  • Experience working with Agile tools, epics, and issue management
< data-start=1206 data-end=1223>Nice to Have
  • AI/ML, Generative AI, or Automation experience
  • Healthcare or HEDIS data experience
  • Lead or Principal-level Data Engineering experience
< data-start=1366 data-end=1391>Key Responsibilities
  • Migrate SAS-based pipelines to Python/PySpark on Databricks
  • Design, develop, and optimize scalable data processing solutions
  • Own and support critical enterprise data pipelines
  • Automate workflows and improve operational efficiency
  • Collaborate with business stakeholders, SMEs, and analytics teams
  • Ensure data quality, reliability, and performance across the platform
Must-Have Skills
  1. Python Development
  2. PySpark
  3. Databricks
  4. SQL
  5. AWS (S3, Glue, Lambda, EC2)
  6. Data Pipeline Development
  7. Distributed Data Processing
  8. Git/Version Control

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