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Overnight Databricks Data Engineer Jobs in Provo, UT

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Data Engineer Reports to: N/A About the Role The Data Engineer designs, builds, and optimizes ... Experience with orchestration tools such as Apache Airflow, Azure Data Factory, Databricks, or ...

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Data Engineer Reports to: N/A About the Role The Data Engineer designs, builds, and optimizes ... Experience with orchestration tools such as Apache Airflow, Azure Data Factory, Databricks, or ...

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building ... Design and manage cloud-based data and AI infrastructure (Databricks preferred), including ...

Data Architect

Draper, UT · On-site +1

$140K - $200K/yr

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 ...

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 ...

Data Science Engineer

Lehi, UT

$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 ...

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 ...

BI Developer 3

Lehi, UT

$47.89 - $59.86/hr

BI Developer 3 Full-time Lehi, UT You'll be joining Adobe on a contract opportunity, employed ... Build and optimize data models within Databricks and SQL Server environments * Develop and maintain ...

Building, mentoring, and leading a high-performing team of data engineers, data scientists, and ... Databricks). Strong command of SQL, Python, or R for data manipulation and analysis. Experience ...

Building, mentoring, and leading a high-performing team of data engineers, data scientists, and ... BigQuery, Databricks). * Strong command of SQL, Python, or R for data manipulation and analysis.

Building, mentoring, and leading a high-performing team of data engineers, data scientists, and ... Databricks). Strong command of SQL, Python, or R for data manipulation and analysis. Experience ...

We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ... Snowflake or Databricks experience is a plus. * Technical Excellence: Ability to write clean ...

We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ... Snowflake or Databricks experience is a plus. * Technical Excellence: Ability to write clean ...

We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ... Snowflake or Databricks experience is a plus. * Technical Excellence: Ability to write clean ...

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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 Provo, UT? The most popular types of Databricks Data Engineer jobs in Provo, UT are:
What cities near Provo, UT are hiring for Overnight Databricks Data Engineer jobs? Cities near Provo, UT with the most Overnight Databricks Data Engineer job openings:

$107K - $128K/yr

Full-time

Posted 14 days ago


Job description

Job Title: Data Engineer
Reports to: N/A
About the Role
The Data Engineer designs, builds, and optimizes Sunwest Bank's Azure-based data infrastructure to support advanced analytics, AI-driven workflows, and enterprise reporting. This role focuses on developing secure, scalable, and high-performance data pipelines across Microsoft Azure services, including Blob Storage, Microsoft Fabric, and OneLake. The Data Engineer plays a critical role in enabling AI-powered document processing by orchestrating ingestion, tagging, extraction, and integration of structured and unstructured data.
Work Details
Schedule: Monday - Friday
Work Location: Onsite
Travel: None
What You'll Do
  • Design and optimize Sunwest Bank's enterprise data architecture using Microsoft Azure technologies.
  • Build and maintain scalable data pipelines across Azure Blob Storage, Microsoft Fabric, and OneLake.
  • Develop orchestration engines to manage document ingestion, tagging, chunking, and processing workflows.
  • Implement automated data-extraction pipelines to derive structured insights from documents.
  • Integrate AI/ML services with databases to combine extracted document insights with operational and enterprise data.
  • Ensure data pipelines are secure, efficient, resilient, and optimized for AI-driven applications.
  • Support enterprise analytics and reporting initiatives through well-structured data models and lakehouse architecture.

What We're Looking For
(Required)
  • 5-10 years of experience in data engineering with a proven ability to build and maintain scalable data pipelines and ETL/ELT processes.
  • Hands-on experience with Microsoft Azure services, particularly Blob Storage, Microsoft Fabric, and OneLake (or similar lakehouse platforms).
  • Strong development skills using Python, PySpark, and SQL.
  • Experience with orchestration tools such as Apache Airflow, Azure Data Factory, Databricks, or Apache Spark.
  • Experience integrating AI/ML services (e.g., OCR, NLP, Azure Cognitive Services) for document processing and insight extraction.
  • Strong knowledge of relational and NoSQL databases, including schema design and performance optimization.

(Nice to Have)
  • Direct experience with Microsoft Fabric and OneLake; familiarity with Azure Synapse or Snowflake is beneficial.
  • Background in unstructured document processing (PDFs, images, text) using OCR and text-extraction tools.
  • Understanding of NLP or AI/ML techniques for document classification and entity extraction.
  • Experience with data governance, metadata management, and security controls-particularly in regulated environments.
  • Comfort collaborating with data scientists and engineers to deploy AI models; familiarity with Agile methodologies and version control tools.

Why You'll Love Working Here
  • Team Culture
  • Growth Opportunities
  • Benefits or Perks

Physical Demands:
In general, the following physical demands are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job.
☐Sedentary: Limited activity, no lifting, limited walking
☐Moderate: Mostly standing, walking, bending, frequent lifting
☐Light: Office work, some lifting, bending, stooping or kneeling, walking
☐Arduous: Heavy lifting, bending, crawling, climbing
The Fine Print
This job description reflects the general nature of the role and may change as business needs evolve. We are an equal opportunity employer. Sunwest Bank works with staff members and customers without regard to race, ancestry, national origin, sex, marital status, age, religion, medical condition, handicap, disability or veteran status and to assist the Bank in maintaining its Affirmative Action Program.
Compliance with Bank Secrecy Act laws and regulations is considered an extremely serious matter, and it is intended that Sunwest Bank, through the purposeful efforts of its employees and officers, are expected to make every resolute attempt to conform to its Bank Secrecy Act Program and Procedures. Failure to comply will be reflected in their performance review as well as in any bonus compensation programs in which they may participate.
Attend and complete all required classroom, computer-based, web-based and seminar training. It is the individual responsibility of every employee to maintain a current awareness and understanding of and to fully comply with Sunwest Bank's "Code of Ethics and Conduct." Each employee is also expected to maintain an awareness of the laws, regulations, internal policies and procedures that are appropriate for his/her position.
Note: The preceding job description has been designed to indicate the general nature and level and work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. All job descriptions can be amended without notice as warranted by business necessity.
Federal Deposit Insurance Act This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on Sunwest Bank's review of criminal conviction history, including pretrial diversions or program entries.