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Overnight Databricks Data Engineer Jobs in Utah (NOW HIRING)

Pwc

Data Strategy-Manager

Salt Lake City, UT

$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 ...

Pwc

Data Governance- Manager

Salt Lake City, UT

$99K - $232K/yr

... 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 ...

JOURNEYTEAM

Data Architect

Draper, UT · On-site

$59.50 - $76.75/hr

You'll collaborate with data engineers, developers, and architects to design and implement modern ... Stay ahead of Microsoft's evolving Data & AI platform (Azure, Fabric, Databricks, Synapse, SQL ...

Journeyteam

Data Architect

Draper, UT · On-site

$140 - $200/hr

You'll collaborate with data engineers, developers, and architects to design and implement modern ... Stay ahead of Microsoft's evolving Data & AI platform (Azure, Fabric, Databricks, Synapse, SQL ...

Adobe

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 ...

Saransh Inc

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 ...

Pwc

AI Engineer

Salt Lake City, UT · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing ...

Zions Bank

Data Analytics Manager

Midvale, UT · On-site

Lead and develop data analysts, analytics engineers, and technical leads. * Own financial data ... Banking, financial data, Databricks, Python, CI/CD, cloud infrastructure, dbt, and enterprise data ...

New

Enterprise Services

Data Analytics Manager

Midvale, UT · Hybrid

Lead and develop data analysts, analytics engineers, and technical leads. * Own financial data ... Banking, financial data, Databricks, Python, CI/CD, cloud infrastructure, dbt, and enterprise data ...

New

Zions Bancorporation

Data Analytics Manager

Midvale, UT · On-site

Lead and develop data analysts, analytics engineers, and technical leads. * Own financial data ... Banking, financial data, Databricks, Python, CI/CD, cloud infrastructure, dbt, and enterprise data ...

New

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All JobsDatabricks Data Engineer JobsOvernight Databricks Data Engineer JobsOvernight Databricks Data Engineer Jobs in Utah

Overnight Databricks Data Engineer information

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 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 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 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 are the most commonly searched types of Databricks Data Engineer jobs in Utah? The most popular types of Databricks Data Engineer jobs in Utah are:
What cities in Utah are hiring for Overnight Databricks Data Engineer jobs? Cities in Utah with the most Overnight Databricks Data Engineer job openings:
Overnight Databricks Data Engineer jobs near you

Senior Databricks Engineer - Remote - USA

FullStack Labs

Salt Lake City, UT • On-site, Remote

$118K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

About FullStack
FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.2-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire a Senior Databricks Engineer to join our team. You'll work with our incredible clients in one of two ways:
  • Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
  • Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We Are Looking For
  • 5+ years of professional data engineering experience.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Strong experience designing and building production-grade data pipelines on Databricks.
  • Deep hands-on expertise with Apache Spark (Spark SQL and PySpark).
  • Advanced knowledge of Delta Lake, including ACID transactions and data versioning.
  • Expert-level SQL and Python, with a focus on scalable data transformations.
  • Proven experience implementing multi-hop architectures.
  • Strong understanding of software engineering principles applied to data systems.
  • Experience building data services, APIs, or microservices for data consumption.
  • Demonstrated ability to implement monitoring, observability, and error handling.
  • Experience optimizing data workloads for performance and cost efficiency.
  • Familiarity with data quality frameworks and automated validation.
  • Ability to debug and resolve issues in distributed systems.
  • Experience working in regulated environments with strict security requirements.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile / Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
  • Ability to consistently work 40 hours per week.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, parental leave, and holidays)
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .
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About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

Social media

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