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Contract Databricks Developer Jobs in Maple Grove, MN

Wipro Limited

DEVELOPER L3(CONTRACT)

Minneapolis, MN · On-site

$45K - $121K/yr

DEVELOPER L3(CONTRACT) City: Minneapolis State/Province: Minnesota Posting Start Date: 6/25/26 ... Databricks, Snowflake, Informatica, Talend Mandatory Skills: AI ML Governance Product Engineering.

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 ...

Birlasoft

Project Lead-Data Engg

Fridley, MN · On-site

Manage stakeholder alignment across data engineering, solutions architecture, business process ... Hold resources from Databricks and systems integration partners to contract scope, timeline, and ...

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.

Judge Group, Inc.

Cloud Data Architect

Minneapolis, MN · On-site

$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

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$81

How much do contract databricks developer jobs pay per hour?

As of Jul 12, 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 1% As Needed, 66% Full Time, 18% Part Time, 1% Temporary, and 14% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $130,964 per year, or $63 per hour.

Senior Azure Databricks

Tata Consultancy Service Limited

Eden Prairie, MN • On-site

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

Role Summary
seeking a Data Engineer with strong hands-on experience in Azure Cloud, Azure Databricks, PySpark, Azure Data Factory (ADF), Delta Lake, and Unity Catalog. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines and cloud-based data solutions, with expertise in ETL/ELT processing, data modeling, performance tuning, and data governance. The role requires proficiency in Python, SQL, GitHub, and CI/CD practices, along with experience working with large-scale datasets in enterprise environments. This is an individual contributor role that demands strong analytical and problem-solving skills, the ability to work independently, and ownership of end-to-end solution delivery while collaborating effectively with cross-functional teams and business stakeholders.
Expertise in:
Azure Databricks, PySpark, Delta Lake
Azure Data Factory (ADF) and ADLS Gen2
Experience working on large-scale, cloud-native data platforms (Azure preferred)
Exposure to AI/LLM or agentic frameworks (Databricks AI/ML, Codex, Claude, etc.)
Strong experience building REST or GraphQL APIs
Experience with Kubernetes (AKS preferred) for API deployment
Understanding of API security, contracts, error handling, and performance
Strong understanding of data governance, security, and CI/CD practicesPrimary skill for the API Role with AI Builder
Salary Range: $100,000- $120,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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