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Internship Azure Databricks Jobs in Utah (NOW HIRING)

Data & AI Platform Engineer

Salt Lake City, UT · On-site

$110.80K - $133.10K/yr

... internships/co-ops count). * Comfort with one or more of the following areas (not all): * A cloud ... Any relevant certs (Azure fundamentals, Snowflake, Databricks, etc) * Demonstrated experience with ...

Internship Azure Databricks information

What are the key skills and qualifications needed to thrive as an Azure Databricks Intern, and why are they important?

To thrive as an Azure Databricks Intern, you need a solid understanding of data analytics, programming (especially Python or Scala), and foundational knowledge of cloud computing concepts. Familiarity with Databricks, Azure cloud services, SQL, and possibly certifications like Microsoft Azure Fundamentals are typically beneficial. Strong problem-solving abilities, eagerness to learn, and effective communication skills help you collaborate with teams and adapt quickly in a fast-paced environment. These skills enable you to efficiently process and analyze data, contribute to projects, and make the most of your internship experience.

What are some common challenges faced during an Azure Databricks internship, and how can I prepare for them?

As an Azure Databricks intern, you may encounter challenges such as learning to navigate the Databricks workspace, understanding distributed data processing with Spark, and collaborating across multidisciplinary teams. To prepare, it's helpful to familiarize yourself with cloud computing basics, Python or Scala programming, and foundational data engineering concepts. You'll often work closely with data engineers and analysts, so strong communication and a willingness to ask questions are key to overcoming initial hurdles and making the most of your learning experience.

What is an Azure Databricks internship?

An Azure Databricks internship is a temporary, hands-on role for students or recent graduates to gain practical experience working with Azure Databricks, a cloud-based data analytics platform. Interns typically assist with data engineering, data analytics, or machine learning projects using tools such as Apache Spark within the Azure environment. The internship helps participants develop technical skills, learn about big data processes, and contribute to real-world business solutions under the guidance of experienced professionals.

What is the difference between Internship Azure Databricks vs Data Engineer Intern?

AspectInternship Azure DatabricksData Engineer Intern
Required SkillsAzure, Databricks, SQL, PythonSQL, Python, ETL, Cloud platforms
Work EnvironmentCloud-based, data analytics projectsData pipelines, database management
CertificationsAzure certifications beneficialBasic data engineering certifications helpful

Internship Azure Databricks focuses on working with the Databricks platform on Azure for data analytics, while Data Engineer Interns work on building data pipelines and managing data infrastructure. Both roles require knowledge of SQL and Python, but Azure Databricks emphasizes cloud-based analytics, making it ideal for those interested in cloud data solutions.

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Data & AI Platform Engineer

Armaninollp

Salt Lake City, UT • On-site

$110.80K - $133.10K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Job description

At Armanino, you determine your career path. This means it's possible to pursue challenges you are passionate about, in industries you care about.

Armanino is proud to be Among the top 20 Largest Accounting and Consulting Firms in the Nation and one of the Best Places to Work. We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network. We want you to integrate all aspects of your life with your career. At Armanino, we know you don't check-out of life when you check-in at work. That's why we've created a unique work environment where your passions, work, and family & friends can overlap. We want to help you achieve growth by giving you access to a network of smart and supportive people, willing to listen to your ideas.

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g., Power BI, Tableau). You'll contribute to platform reliability, CI/CD, environment setup, and operational runbooks-while learning best practices in security, governance, and deployment automation from senior engineers.

Job Responsibilities

  • Support day-to-day operations for cloud data platforms (workspace/project setup, access requests, basic configuration, troubleshooting).

  • Assist with platform hygiene: organizing environments, documenting standards, and improving repeatability.

  • Help implement and maintain guardrails (naming/tagging conventions, access patterns, basic cost awareness).

  • Contribute to CI/CD workflows for data and analytics assets (pipelines, jobs, semantic models, reports), under mentorship.

  • Help maintain reusable templates/checklists for deployments (approvals, promotion steps, rollback notes, release documentation).

  • Assist teams with onboarding and "how-to" enablement across a core platform (Fabric or Snowflake or Databricks) plus a BI tool (Power BI or Tableau).

  • Support basic performance triage (query/job failures, refresh issues, common workspace capacity constraints) and escalate effectively when needed.

  • Help build and maintain runbooks (standard operating procedures, known issues, quick fixes, escalation paths).

  • Participate in incident response support (triage, notes, follow-ups) and contribute to preventative improvements.

  • Follow and reinforce least-privilege access practices and secure secret handling (e.g., Key Vault/secret scopes where applicable).

  • Assist with data governance basics (PII handling expectations, row-level access concepts, environment separation).

Requirements

  • Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud operations role (internships/co-ops count).

  • Comfort with one or more of the following areas (not all):

  • A cloud data platform: Snowflake (preferred) or Microsoft Fabric or Databricks

  • A BI platform: Power BI or Tableau

  • CI/CD concepts (Git, branching/PRs, basic pipelines)

  • Basic scripting capability in Python or PowerShell (or willingness to learn quickly).

  • Strong troubleshooting mindset: can break problems down, gather evidence, and communicate clearly.

  • Ability to document what you learned (runbooks, checklists, short "how-to" guides).

  • Exposure to cloud concepts: identity/access, resource organization, logging/monitoring.

  • Familiarity with SQL and performance basics (indexes/partitioning concepts, query plans at a high level).

  • Understanding of data governance concepts (PII, RLS/CLS, environment separation).

  • Any relevant certs (Azure fundamentals, Snowflake, Databricks, etc)

  • Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI integration, or MLOps).

"Armanino" is the brand name under which Armanino LLP and Armanino Advisory LLC, independently owned entities, provide professional services in an alternative practice structure in accordance with law, regulations, and professional standards. Armanino LLP is a licensed independent CPA firm that provides attest services, and Armanino Advisory LLC and its subsidiary entities provide tax, advisory, and business consulting services. Armanino Advisory LLC and its subsidiary entities are not licensed CPA firms.

Armanino provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Armanino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Armanino expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Armanino employees to perform their job duties may result in discipline up to and including discharge.

Armanino does not accept unsolicited candidates, referrals, or resumes from any staffing agency, recruiting service, sourcing entity, or third-party paid service at any time. Any referrals, resumes, or candidates submitted to Armanino or any employee or owner of Armanino without a pre-existing agreement signed by both parties covering the submission will be considered the property of Armanino and not subject to any fees or charges. For existing agreements, a role must be approved and open to external search; otherwise, unsolicited and unapproved submittals and referrals will be considered Armanino property and free of fees. In addition, Talent Acquisition is the sole point of contact, and contacting others in our organization without Talent Acquisition's knowledge will result in termination of contract.

Certain states require us to disclose the pay range and benefits summary for job openings. For Colorado residents, the compensation range for this position: $102,600 - $120,700. For Washington residents, Illinois residents, New York residents, and Southern California residents, the compensation range for this position: $112,900 - $132,800. For Northern California residents, the compensation range for this position: $118,000 - $138,800. Compensation may vary based on skills, role, and location. Eligible employees at certain levels can participate in a discretionary long-term financial incentive plan, subject to plan participation rules.

Armanino has a robust offering of benefits, including:

  • Medical, dental, vision

  • Generous PTO plan and paid sick time

  • Flexible work arrangements

  • 401K with Profit Sharing

  • Wellness program

  • Generous parental leave

  • 11 paid holidays

For positions based in San Francisco, consistent with the SF Fair Chance Ordinance, an arrest and conviction record will not automatically disqualify a qualified applicant from consideration.

For Individuals who would be working within the City of Los Angeles, Armanino will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance

To view our Consumer Notice at Collection for job applicants, please visit: https://www.armanino.com/terms/ccpa-employee-notice/

We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network.