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Databricks Jobs in Minnesota (NOW HIRING)

Databricks Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Databricks & ADF Python (PySpark/Spark) Azure; Airflow Kubernetes /Snowflake AI/ML (model deployments) Preferred Skill and Experience Data Analytics Skill / Health Care domain Github (CI/CD ...

Sr Azure Data Engineer (12+ yrs)

Minneapolis, MN · On-site

$57.50 - $71.25/hr

Azure Databricks Responsibilities: * Design and develop scalable architectures using Azure Databricks to meet business requirements and optimize performance. * Implement best practices for data ...

Databricks Platform Responsibilities o Design and implement automated data quality checks within the Databricks environment. o Build and maintain data validation processes using Databricks SQL ...

Databricks Platform Responsibilities o Design and implement automated data quality checks within the Databricks environment. o Build and maintain data validation processes using Databricks SQL ...

Tarmac.io is looking for a Channel Development Manager to grow and strengthen our strategic partnerships with Databricks and Amazon Web Services (AWS). If you thrive at the intersection of cloud ...

Showing results 21-40

Databricks information

See Minnesota salary details

$23K

$36.9K

$49.9K

How much do databricks jobs pay per year?

As of Sep 9, 2026, the average yearly pay for databricks in Minnesota is $36,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,800.00 and $40,600.00 per year, depending on experience, location, and employer.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

Does Databricks hire remote employees?

Databricks offers remote work opportunities for certain roles, especially those related to software engineering, data science, and cloud infrastructure. The availability of remote positions depends on the specific job and team requirements, and candidates should review individual job postings for location details.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that involve working with tools like Apache Spark and machine learning. Employee reviews often cite a collaborative environment and opportunities for skill development, though experiences can vary by role and location.

What are jobs in Databricks?

Jobs in Databricks refer to roles that involve developing, managing, and optimizing data workflows using the Databricks platform, which is built on Apache Spark. These positions often require skills in data engineering, data science, or machine learning, and may involve working with cloud environments, SQL, and programming languages like Python or Scala.

What are the most commonly searched types of Databricks jobs in Minnesota?

The most popular types of Databricks jobs in Minnesota are:

What are popular job titles related to Databricks jobs in Minnesota?

For Databricks jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Databricks jobs?

Cities in Minnesota with the most Databricks job openings:

Infographic showing various Databricks job openings in Minnesota as of September 2026, with employment types broken down into 85% Full Time, 1% Part Time, and 14% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $36,937 per year, or $17.8 per hour.

Staff Production Engineer- Public Sector

Virginia, MN • On-site

Databricks Inc.
Software Development • 5 - 10K employees

$150 - $200/hr

Other

Posted 21 days ago


Key responsibilities

  • Design, automate, and operate cloud identity and access management, account, and project lifecycle across AWS, Azure, and GCP.

  • Build and maintain automation and tooling to apply cloud changes safely and repeatedly, and improve security and audit logging data pipelines.

  • Participate in on-call rotation and collaborate with teams during incidents to restore service and enhance system security.


Job description

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

The Role

At Databricks, we don't just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer.

In this role, you won't just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks' global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team.

The Impact You’ll Have

Security-Focused Cloud Operations

  • Design, automate, and operate the IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale.
  • Review, implement, and continuously improve cloud identity and access policies (IAM, Okta, Opal) to align with Databricks security standards and audit requirements.

Production Engineering & Automation

  • Build and maintain reliable, observable automation and tooling to apply cloud changes (roles, policies, accounts, networking) safely and repeatedly.
  • Treat operational and security issues as software problems: eliminate toil, drive root-cause analysis, and codify fixes into infrastructure and tooling.

Security Data Pipelines & Compliance

  • Own and improve security and audit logging data pipelines from cloud providers into our internal systems, ensuring timely, accurate data for detection, investigations, and audits.
  • Partner with Security, Compliance, and Audit teams to provide evidence, clarifications, and policy updates that keep our environments aligned with evolving standards.

Regulated & Specialized Environments

  • Operate and improve specialized, highly regulated environments (e.g., FedRAMP / GovCloud) including release management, patching cadences, and supporting secure access workflows (e.g., SAW).
  • Ensure high availability and resiliency for critical security and access infrastructure across these environments.

On-Call & Incident Response

  • Participate in a 24x7 on-call rotation for high-severity incidents impacting cloud accounts, IAM, or security data pipelines.
  • Act as a key partner to product engineering, security engineering, and field teams during incidents to restore service and harden systems for the future.
What We Look For
  • Required: Candidates must be eligible for a Top Secret / Sensitive Compartmented Information (TS/SCI) security clearance.
    • Nice to have: Possession of a current polygraph (Counterintelligence or Full Scope) is highly desired and considered a significant plus.
  • Education-BS, MS, or PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Experience
    • Staff: 8+ years of experience operating and automating large-scale cloud environments, with a track record of driving cross-team infrastructure improvement.
  • Deep hands‑on experience with at least one major cloud provider (AWS, Azure, or GCP) in areas such as IAM, networking, accounts/subscriptions/projects, and audit logging.
  • Strong background inInfrastructure-as-Code and automation (e.g., Terraform, CloudFormation, or similar) and CI/CD for infrastructure changes.
  • Security & Compliance Mindset
    • Proven experience working in or with security-sensitive or regulated environments (e.g., SOC2, FedRAMP, ISO 27001, financial services, public sector) and translating requirements into concrete technical controls.
    • Familiarity with access review processes, policy baselines, and audit evidence for cloud environments.
  • Operational Excellence
    • Demonstrated success running high-availability, security-critical services, including on-call responsibilities and incident management.
    • Strong debugging and problem-solving skills across distributed systems, with the ability to navigate ambiguous issues spanning multiple teams and platforms.

Bonus

  • Experience with Okta, Opal, or similar identity/access tooling.
  • Background operating secure admin workstations (SAW) or comparable hardened access patterns.
  • Experience migrating cloud accounts or subscriptions during M&A or large-scale reorganizations.

Local Pay Range

$162,000 — $222,750 USD

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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