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Databricks Engineer Jobs in Minnesota (NOW HIRING)

Conch Technologies Inc

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Senior Data Engineer Location: Minneapolis, MN or Madison, WI Duration: 6+ Months Note :Only W2 no ... Databricks * Microsoft Fabric * Strong understanding of data quality, validation, and production ...

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · Remote

$91K - $163K/yr

Design, build, and maintain scalable data pipelines using Azure Data Factory and Azure Databricks ... Programming Languages: Python, PySpark * Cloud Technologies: Azure (ADF, Databricks, Synapse, SQL ...

3M

Backend Software Engineer

Maplewood, MN · On-site

$145K - $178K/yr

Backend Software Engineer Collaborate with Innovative 3Mers Around the World Choosing where to ... Integrate backend services with cloud and data platforms, including Databricks and Delta Lake

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · On-site

$91K - $163K/yr

Design, build, and maintain scalable data pipelines using Azure Data Factory and Azure Databricks ... Programming Languages: Python, PySpark * Cloud Technologies: Azure (ADF, Databricks, Synapse, SQL ...

3M

Backend Software Engineer

Maplewood, MN

$145K - $178K/yr

Backend Software Engineer Collaborate with Innovative 3Mers Around the World Choosing where to ... Integrate backend services with cloud and data platforms, including Databricks and Delta Lake

Dlapiper

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Xcel Energy

Senior Data Engineer

Minneapolis, MN

$110K - $150K/yr

Databricks Data Engineering Professional Certification. * Experience working within federated or self-service data environments and enabling domain teams to publish and consume data products. As a ...

HealthPartners

Data Engineer Principal

Bloomington, MN · On-site

$39.89 - $55.55/hr

Data engineers work in collaborative scrum teams with other developers, analysts and data ... Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks ...

HealthPartners

Data Engineer Principal

Bloomington, MN

$115K - $138K/yr

Data engineers work in collaborative scrum teams with other developers, analysts and data ... Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Minnesota

Databricks Engineer information

See Minnesota salary details

$58.3K

$109.3K

$198.8K

How much do databricks engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for databricks engineer in Minnesota is $109,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $129,800.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

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 cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in Minnesota? For Databricks Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Minnesota look for? The top searched job categories for Databricks Engineer jobs in Minnesota are:
Databricks Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

Conch Technologies Inc

Minneapolis, MN • On-site

$110K - $150K/yr

Contractor

Posted 20 days ago

Job description

Job Title: Senior Data Engineer

Location: Minneapolis, MN or Madison, WI

Duration: 6+ Months

Note :Only W2 no C2C

Job Summary

We are looking for a Senior Data Engineer with strong hands-on experience building and supporting modern data platforms. The ideal candidate will have expertise in cloud-based data engineering, data lakes, ETL/ELT development, and Lakehouse architectures. This is a fast-paced role requiring someone who can quickly contribute with minimal ramp-up time.

Required Skills

  • 7+ years of Data Engineering experience
  • Strong SQL and Python skills (PySpark preferred)
  • Experience with cloud platforms (Azure preferred, AWS or GCP acceptable)
  • Experience with Azure Data Lake Storage (ADLS Gen2) or similar data lake technologies
  • Knowledge of Parquet file format and Lakehouse concepts (Delta Lake and/or Iceberg)
  • Hands-on experience with dbt (Core or Cloud)
  • Experience using GitHub, pull requests, and CI/CD pipelines
  • Experience with one or more of the following:
  • Snowflake
  • Databricks
  • Microsoft Fabric
  • Strong understanding of data quality, validation, and production support

Responsibilities

  • Design, develop, and maintain end-to-end data pipelines
  • Build data ingestion, transformation, and analytics-ready datasets
  • Develop data models and transformations using SQL and Python
  • Implement automated data quality checks and monitoring
  • Follow Git-based development and CI/CD best practices
  • Collaborate with business stakeholders to define data requirements
  • Ensure data solutions are secure, scalable, reliable, and well-documented

Preferred Skills

  • Azure Data Factory or Microsoft Fabric Data Factory
  • Databricks or Fabric Notebooks
  • Airflow, Dagster, or other orchestration tools
  • Healthcare or Health Insurance domain experience (Claims, Provider, Clinical, Payer)

Ideal Candidate

  • Senior-level hands-on Data Engineer
  • Strong problem-solving and ownership mindset
  • Experience delivering production-ready data solutions
  • Comfortable working independently in fast-moving environments
  • Able to quickly adapt and contribute with minimal supervision
Thanks & Regards,
Raviteja Chebolu
Desk: 214-247-7117
Email: raviteja.c@conchtech.com
Conch Technologies Inc | www.conchtech.com
6750 Poplar Ave # 711, Memphis, TN 38138, United States