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Databricks Software Jobs in Minneapolis, MN (NOW HIRING)

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 ...

Deloitte

Sr Databricks Data Engineer

Minneapolis, MN

$119K - $143K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Infosys

Databricks Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

... Facilitate software application design discussions, and document design decisions to guide the ... Databricks & ADF Python (PySpark/Spark) Azure; Airflow Kubernetes /Snowflake AI/ML (model ...

Noblesoft Technologies

Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

Proven experience working on large-scale, cloud-based, enterprise-level software platforms and deep understanding of Databricks environment. In particular: * Experience building Github Actions ...

Tarmac LLC

US Channel Development Manager

Shoreview, MN · On-site

... software development, and its mission is to empower businesses to succeed with outstanding digital products. What You'll Do * Build and execute joint business plans with Databricks & AWS * Drive ...

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All JobsDatabricks Software JobsDatabricks Software Jobs in Minneapolis, MN

Databricks Software information

See Minneapolis, MN salary details

$50.1K

$116.7K

$173.3K

How much do databricks software jobs pay per year?

As of Sep 6, 2026, the average yearly pay for databricks software in Minneapolis, MN is $116,744.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $135,700.00 per year, depending on experience, location, and employer.

What is Databricks software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

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

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What are some common challenges faced by Databricks software engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Minneapolis, MN?

For Databricks Software jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Databricks Software jobs in Minneapolis, MN look for?

The top searched job categories for Databricks Software jobs in Minneapolis, MN are:

Databricks Software jobs near you

Senior Databricks

C4 Technical Services

Chanhassen, MN • On-site

$124K - $164K/yr

Other

Posted 16 days ago

Job description

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 new Databricks-based analytics platform from the ground up.
  • This individual will work closely with Data & AI leadership and serve as a technical partner in establishing the Lakehouse architecture, Medallion data model, semantic layer strategy, and reporting-ready datasets.
  • The ideal candidate has prior experience building Databricks environments from scratch and can operate independently with minimal direction while helping establish foundational best practices.

Top Skills:

  • Databricks
  • Delta Lake
  • PySpark
  • SQL
  • Data Modeling
  • Medallion Architecture
  • Lakehouse Architecture
  • Silver & Gold Layer Development
  • Semantic Modeling
  • Analytics Engineering
  • Data Warehousing
  • PowerBI

Nice to have Skills:

  • Databricks Apps
  • Unity Catalog
  • dbt
  • Microsoft Fabric
  • Power BI Semantic Models
  • Unstructured Data Ingestion
  • AI / GenAI Data Preparation
  • Vector Databases
  • Azure AI Services
  • RAG Framework Exposure
  • Python
  • Azure Data Factory

Job Description:

  • Partner with Data & Analytics leadership to design and build a Databricks Lakehouse environment.
  • Develop and maintain Bronze, Silver, and Gold layers within a Medallion Architecture.
  • Design and implement business-facing data models and semantic layers.
  • Create analytics-ready datasets optimized for reporting and self-service BI.
  • Build and optimize ETL/ELT pipelines using Databricks, PySpark, and SQL.
  • Support ingestion and processing of structured and unstructured data sources.
  • Collaborate with business stakeholders to define metrics, reporting requirements, and data structures.
  • Establish data quality, validation, and governance best practices.
  • Contribute to Databricks Apps and analytics platform capabilities.
  • Help define scalable architecture patterns and development standards.
  • Support AI and GenAI initiatives through data preparation and ingestion pipelines.

Ideal Candidate Profile:

  • Senior Databricks Analytics Engineer
  • Senior Data Engineer
  • Lakehouse Engineer
  • Analytics Engineer
  • Databricks Consultant
  • Databricks Data Architect (hands-on)
  • Data Platform Engineer
  • Azure Databricks Engineer
  • Data Warehouse Engineer with Lakehouse experience
C4 Technical Services logo

About C4 Technical Services

Sourced by ZipRecruiter

C4 Technical Services is a national privately held women and African American owned Staffing and Consulting company based in Minneapolis, Minnesota. We are committed to maintaining our entrepreneurial spirit as we grow and help our clients grow. This gives us the ability to be flexible and responsive as we align with client organizations to help scale their IT, Infrastructure, Digital UX, Application Development, Strategy, and Telecom to increase and support their growing business needs. We have a deliberate commitment to a partner pipeline – always on the hunt for new technology and new solutions to problems, new and old. Our areas of technical focus include D365 Consulting, Microsoft O365, SCCM, SCSM, Cyber Security, Digital UX, UI Development, DevOps, Cloud, PMO, iOS, Android, Power BI, Data Visualization, Kafka, Python, Java, .NET, Chaos Engineering, Call Center, and Ransomware attacks.

Company size

201 - 500 Employees

Headquarters location

Little Canada, MN, US

Year founded

2013

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