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Overnight Databricks Data Engineer Jobs in Midvale, UT

Data & AI Platform Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

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 ...

Data Strategy-Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

... Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data governance frameworks - Understanding of modern cloud data ...

... Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the ...

Data Science Engineer

Lehi, UT · On-site

$107K - $129K/yr

Analyze data toidentifyor resolve operational problems to create processes to reverse engineer ... Databricks,AWS, Snowflake) * Understanding of machine learning techniques, specifically involving ...

Technical Product Manager

Draper, UT · On-site

$156K - $180K/yr

Partner with data and engineering teams to manage customer data ingestion, modeling, governance, and access, including source systems, databases, Databricks, and enterprise APIs. Define, oversee, and ...

Technical Product Manager

Draper, UT · On-site

$156K - $180K/yr

Partner with data and engineering teams to manage customer data ingestion, modeling, governance, and access, including source systems, databases, Databricks, and enterprise APIs. Define, oversee, and ...

Cloud FinOps SME

Lehi, UT · On-site

$52.25 - $70/hr

... not a technical engineering role. Platforms: Primary * Databricks (must have) * Azure cloud ... Data Engineers DevOps Engineers Cloud Architects without FinOps experience Finance analysts without ...

You'll partner closely with BI Engineers, Data Engineers, Analysts, and divisional operational ... Databricks or similar). * Deep understanding of MLOps best practices--experiment tracking ...

Showing results 21-40

Overnight Databricks Data Engineer information

What is an overnight Databricks data engineer?

An Overnight Databricks Data Engineer is a professional who works primarily during night shifts to manage, design, and maintain big data pipelines and workflows using Databricks, a cloud-based data analytics platform. Their responsibilities often include developing and optimizing data processing jobs, ensuring data quality, and troubleshooting issues that arise during overnight data operations. This role is critical for organizations that require 24/7 data processing, continuous ETL jobs, or real-time analytics. Working overnight may also involve monitoring automated systems, performing scheduled data loads, and collaborating with global teams to ensure data availability and reliability.

What skills and qualifications are needed to thrive as an overnight Databricks data engineer?

To thrive as an Overnight Databricks Data Engineer, you need strong proficiency in data engineering, Python or Scala programming, and experience with big data technologies, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and certifications like Databricks Certified Data Engineer are highly valued. Attention to detail, problem-solving, and effective communication are essential soft skills, especially for troubleshooting and collaborating across shifts. These competencies ensure reliable data pipeline management and efficient resolution of issues during off-hours, maintaining seamless business operations.

What unique challenges do overnight Databricks data engineers face, and how can they be addressed?

Overnight Databricks Data Engineers often work with limited real-time support, which can present challenges when troubleshooting urgent data pipeline issues or system outages. To address this, it’s essential to develop strong problem-solving skills, document processes thoroughly, and leverage automated monitoring and alerting tools. Additionally, close collaboration with daytime teams during handoff periods ensures continuity and minimizes disruptions. Building a habit of proactive communication and maintaining detailed logs helps the entire team resolve issues efficiently and maintain data quality.

What is the difference between Overnight Databricks Data Engineer vs Data Engineer?

AspectOvernight Databricks Data Engineer
Work EnvironmentPrimarily remote or on-site, working overnight shifts to support global data operations
CertificationsDatabricks certifications, cloud platform credentials (AWS, Azure), data engineering certifications
Tools & TechnologiesDatabricks platform, Spark, cloud services, SQL, Python, ETL tools
Industry UsageTech, finance, healthcare, retail with 24/7 data needs

While both roles focus on data engineering, the Overnight Databricks Data Engineer specializes in managing data pipelines on the Databricks platform during overnight shifts, often supporting global operations. A Data Engineer may work across various platforms and shifts, with broader responsibilities in data architecture and pipeline development. The overnight role emphasizes specific platform expertise and shift timing, catering to organizations with continuous data processing needs.

What cities near Midvale, UT are hiring for Overnight Databricks Data Engineer jobs?

Cities near Midvale, UT with the most Overnight Databricks Data Engineer job openings:

Data & AI Platform Engineer

Armaninollp

Salt Lake City, UT • On-site

$110K - $133K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 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

Platform Operations & Enablement
  • 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).

DevOps & Deployment Support
  • 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).

Data/Analytics Tooling Support
  • 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.

Reliability, Monitoring, and Runbooks
  • 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.

Security & Governance
  • 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).

  • Minimum 1 year of representative accounting experience whether implementing systems, or any direct accounting roles. Note this is an important requirement. Candidates that understand accounting systems will have a significant edge in pursuit of this role.

  • 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: $91,300 - $124,400. For Washington residents, Illinois residents, New York residents, and Southern California residents, the compensation range for this position: $100,400 - $136,900. For Northern California residents, the compensation range for this position: $105,000 - $143,000. 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.