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Databricks Engineer Jobs in Minnesota (NOW HIRING)

HealthPartners

Data Engineer Principal

Bloomington, MN · On-site

$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 ...

Conch Technologies Inc

Sr. Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

W2 Role only, No visa sponsorship at this time Sr. Data Engineer Locals only/out of area/ remote ... Databricks Healthcare/Payer domain experience is preferred (Clinical, Claims, Provider) Thanks ...

Birlasoft

Project Lead-Data Engg

Fridley, MN · On-site

... data engineering, solutions architecture, business process owners, and IT leadership -- every function has a current, accurate picture of status, risk, and ask * Hold resources from Databricks and ...

Collabera

Database Engineer

Minneapolis, MN · On-site

$63 - $65/hr

Database Engineer 4 Industry: Banking/Financial Services Job duration: 24 Months (Possible ... Understanding with Databricks (Apache Spark, Delta Lake, and workflows) for building scalable data ...

New

UnitedHealth Group

AI Engineer - AI/ML

Minnetonka, MN · On-site

$116K - $140K/yr

Azure (Databricks, ML Studio, Data Factory, Data Lake, Delta Tables), AWS, and GCP for scalable ... Mentor junior engineers and contribute to internal knowledge-sharing initiatives You'll be rewarded ...

Pwc

Data Engineer - Senior Associate

Minneapolis, MN

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

UnitedHealth Group

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

Azure (Databricks, ML Studio, Data Factory, Data Lake, Delta Tables), AWS, and GCP for scalable ... Mentor junior engineers and contribute to internal knowledge-sharing initiatives You'll be rewarded ...

Pwc

Data Engineer - Manager

Minneapolis, MN

$99K - $232K/yr

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

Tarmac LLC

US Channel Development Manager

Shoreview, MN · On-site

... Databricks and Amazon Web Services (AWS). If you thrive at the intersection of cloud, data, and ... Operating with a technology-agnostic approach, Tarmac utilizes a variety of modern programming ...

Tarmac LLC

US Channel Development Manager

Shoreview, MN · On-site

... Databricks and Amazon Web Services (AWS). If you thrive at the intersection of cloud, data, and ... Operating with a technology-agnostic approach, Tarmac utilizes a variety of modern programming ...

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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
Software Engineer, Data

Software Engineer, Data

Bold Orange Company, LLC

Minneapolis, MN • On-site

$85K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago

Job description

About Bold Orange:
Bold Orange (BOCO) is a customer experience company. We believe authentic human connections are the single most important driver of business and societal progress. We exist to create these connections across the customer lifecycle, from acquisition to engagement to retention. Our culture is one of curiosity, collaboration, proactivity and always bringing the outside, future focused perspective to our clients.
Position Summary:
We are looking for a Software Engineer, Data to join our growing technology team. This is a hands-on, data-focused engineering role centered on Snowflake. You'll design data models, build and optimize pipelines, and turn raw client data into reliable, well-governed analytics and activation platforms. You'll pair that data work with back-end and DevOps engineering across multiple client engagements, collaborating closely with project managers, developers, and client stakeholders to deliver scalable, performant solutions. Snowflake powers a SaaS platform we operate and a growing share of our data work, and it's where we're investing to get stronger, so deep, demonstrable Snowflake expertise is the primary focus of this role. You may also work with Redshift and Databricks, which we use internally and on behalf of clients, but Snowflake is where we want this person to be strongest.
Duties and Responsibilites:
  • Architect, build, and maintain data models, warehouses, and ELT/ETL pipelines in Snowflake, optimizing for performance, scalability, and cost
  • Develop and tune complex SQL, stored procedures, and transformations in Snowflake and supporting relational databases (SQL Server, PostgreSQL)
  • Leverage native Snowflake capabilities such as Snowpipe, Streams & Tasks, dynamic tables, and external/stage integrations to deliver reliable, near-real-time data flows
  • Own Snowflake performance, governance, and cost management, including warehouse sizing, clustering, role-based access controls, and data security
  • Design, build, and maintain back-end APIs and services in Python and C#/.NET that feed and consume the Snowflake platform
  • Manage CI/CD pipelines and support deployment automation across cloud and on-premise environments
  • Configure and maintain infrastructure on Windows Server and Linux environments
  • Integrate third-party platforms and APIs (HubSpot, Azure DevOps, and others)
  • Troubleshoot production issues across a multi-client environment with professionalism and urgency
  • Contribute to technical documentation, architecture decisions, and code reviews
  • Collaborate with account managers and clients to scope, estimate, and deliver technical work
  • Mentor junior engineers and contribute to team best practices

Required Qualifications:
  • 4+ years of professional software engineering experience, with significant time spent in data engineering
  • Deep, hands-on Snowflake expertise: production experience designing data models and warehouses, building ELT/ETL pipelines, and writing performant SQL on the platform
  • Working knowledge of Snowflake performance tuning, cost optimization, and security/governance (warehouse sizing, clustering, RBAC)
  • Strong proficiency in Python and C# for back-end development
  • Hands-on experience with relational SQL databases (SQL Server, PostgreSQL, MySQL)
  • Proven experience building and consuming REST APIs
  • Practical DevOps experience: CI/CD pipelines, deployment automation, server configuration
  • Comfort working in both Windows Server and Linux environments
  • Ability to manage and context-switch across multiple concurrent client projects
  • Strong written and verbal communication skills, including technical communication with non-technical stakeholders

Preferred Qualifications:
  • Active SnowPro certification(s): SnowPro Core is strongly preferred, and one or more SnowPro Advanced certifications (e.g., Data Engineer, Architect) is a significant plus
  • Snowflake features of CoCo, CoWork, Horizon Catalog, and Horizon Context (Semantic Views).
  • Redshift and/or Databricks: experience with additional data warehouse or lakehouse platforms (both used at Bold Orange)
  • Experience with Azure DevOps, Azure App Services, or other Azure services
  • Exposure to HubSpot CMS, APIs, or marketing automation platforms
  • Familiarity with IIS, .NET deployment, or Windows service management

$85,000 - $130,000 a year
We benchmark salaries across industry standards and local markets to ensure we offer competitive, fair compensation. Final offers reflect a candidate's skills, experience, and location. The annual base for this position is anticipated to be between $85k-$130k. Final compensation will be dependent on the ideal candidates experience and local market at the time of hire.
Benefits That Matter:
Our benefits are designed to support life's many stages-expected and unexpected. Eligible employees can access:
• Medical, dental, and vision insurance
• Virtual mental health support
• Health Savings and Flexible Spending Accounts (including dependent care)
• Infertility and critical illness benefits
• 401(k) with generous 6-10% employer contribution
• Paid parental leave
• Tuition reimbursement
• Free parking and commuter support
Note: Some benefits apply only to full-time employees.
Who We Are:
Our tone is professionally sassy. We embrace meat raffles, hot seats, and the occasional Jell-O shot. We like staff meetings that are informative, educational, and at times, damn funny. We believe in no hierarchy, no bullshit, no politics. Just honest, hard work and great fun.
Equal Opportunity Employer:
We are an equal opportunity employer, dedicated to a policy of nondiscrimination in employment on any basis including race, color, creed, gender, sexual orientation, age, disability, religion, national origin, marital status, familial status, ancestry, status as a veteran, status with regard to public assistance and any other characteristic protected by law. Bold Orange does not and will not discriminate against employees, prospective employees, clients, or vendors.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are made by humans. If you would like more information about how your data is processed, please contact us.

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