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Contract Databricks Developer Jobs in Maple Grove, MN

C4 Technical Services

Senior Databricks

Chanhassen, MN · On-site

$124K - $164K/yr

Senior Databricks Analytics Engineer Contract-(3-6 months) Hybrid - Chanhassen, MN (Local Preferred) Role Overview: * We are seeking a Senior Databricks Analytics Engineer to help design and build a ...

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 ...

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 ...

Genesis10

Principal Data Engineer - Hybrid

Eagan, MN · On-site

$95.60 - $105.60/hr

This is a 6+ month contract-to-hire opportunity. Compensation: $95.60 - $105.60 per hour, W2, based ... Hands-on Databricks experience including notebooks, workflows, and cluster management * Experience ...

Genesis10

Digital Product Engineer - Hybrid

Eagan, MN · On-site

$69.20 - $79.20/hr

This is a 6+ month contract-to-hire opportunity. This is a hybrid position - 2 days onsite, 3 days ... Implement CI/CD pipelines, automated testing, and DevOps best practices * Collaborate with Product ...

Genesis10

Enterprise Architect - Hybrid

Eagan, MN · On-site

$79.10 - $89.10/hr

This is a contract to hire opportunity. This is a hybrid position - 2 days onsite, 3 days remote ... Mentor architects and engineering teams while influencing architectural direction across a large ...

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Contract Databricks Developer information

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How much do contract databricks developer jobs pay per hour?

As of Aug 27, 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 the key skills and qualifications needed to thrive as a Contract Databricks Developer?

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 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 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 August 2026, with employment types broken down into 81% Full Time, 7% Part Time, and 12% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $130,964 per year, or $63 per hour.

Hiring | Databricks Engineer Lead | Minneapolis, MN | Contract

Healthcare Triangle Inc

Minneapolis, MN • On-site

$107K - $140K/yr

Other

Posted 15 days ago

Job description

Role : Databricks Engineer Lead
Location : Minneapolis, MN
Duration : Long-term Contract
Job Responsibilities :
  • Lead the design and development of scalable data engineering solutions using Databricks.
  • Develop and optimize PySpark, Spark SQL, and Delta Lake pipelines.
  • Build and manage ETL/ELT workflows and data lakehouse architecture.
  • Work with Azure/AWS, Databricks Workflows, Unity Catalog, and cloud storage.
  • Optimize performance, data quality, and cost of Databricks workloads.
  • Mentor engineers and provide technical leadership.
  • Collaborate with architects, analysts, and business teams.
Required Skills:
Databricks, PySpark, Spark SQL, Delta Lake, Python, SQL, ETL/ELT, Data Lakehouse, Azure/AWS, Unity Catalog, CI/CD, Git.

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