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Overnight Databricks Data Engineer Jobs in Provo, UT

MX Technologies, Inc.

Senior Analytics Engineer

Lehi, UT · On-site

$98K - $134K/yr

Proficiency with cloud data warehouses (Google BigQuery preferred; Snowflake, Redshift, or Databricks acceptable). * Familiarity with programming languages such as Python for workflow automation and ...

nCino

Senior Data Scientist

Lehi, UT · On-site

... data-related programming languages • Proficient creating machine learning, predictive modeling ... Databricks and mlflow • Experience with AWS tools and services, including Lambda, Sagemaker, S3 ...

NextDeavor Inc.

BI Developer 3

Lehi, UT · On-site

$52 - $56.33/hr

BI Developer 3 Full-time Lehi, UT, US You'll be joining Adobe on a contract opportunity, employed ... Power BI Tableau SQL Server / T-SQL Data Modeling ETL Development Databricks Python Data ...

NextDeavor Inc.

BI Developer 3

Lehi, UT

$52 - $56.33/hr

BI Developer 3 Full-time Lehi, UT, US You'll be joining Adobe on a contract opportunity, employed ... Power BI Tableau SQL Server / T-SQL Data Modeling ETL Development Databricks Python Data ...

BambooHR

Sr. Data Governance Engineer

Draper, UT · On-site

$99K - $134K/yr

Manage relationships with business, product, and engineering data owners * Partner with enterprise ... Familiarity with Databricks, DBT, Snowflake, Claude code, Codex, Windsurfer * Experience with data ...

Cypress HCM

Business Intelligence Developer

Lehi, UT · On-site

$56.34/hr

BI Developer 3 (Contract) * Location: Lehi UT, 84043 (Hybrid) * Duration: 6/01/2026 to 9/30/2026 ... Build and optimize data models within Databricks and SQL Server environments * Develop and maintain ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Lead and guide teams in implementing programming best practices and adopting emerging technologies ... Experience developing and deploying models using Databricks and mlflow * Experience with AWS tools ...

nCino OpCo

Senior Data Scientist

Lehi, UT

$107K - $183K/yr

Lead and guide teams in implementing programming best practices and adopting emerging technologies ... Experience developing and deploying models using Databricks and mlflow * Experience with AWS tools ...

Nature's Sunshine Products

Analytics Engineer

Lehi, UT · On-site

As part of that investment, we are building a new Enterprise Data & Analytics function to unlock ... Experience working in a modern analytics platform such as Microsoft Fabric, Snowflake, Databricks ...

Nature's Sunshine Products

Analytics Engineer

Lehi, UT · On-site

As part of that investment, we are building a new Enterprise Data & Analytics function to unlock ... Experience working in a modern analytics platform such as Microsoft Fabric, Snowflake, Databricks ...

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All JobsDatabricks Data Engineer JobsOvernight Databricks Data Engineer JobsOvernight Databricks Data Engineer Jobs in Provo, UT

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 are some unique challenges faced by Overnight Databricks Data Engineers, 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 are the key skills and qualifications needed to thrive as an Overnight Databricks Data Engineer, and why are they important?

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:
Overnight Databricks Data Engineer jobs near you
Senior Analytics Engineer

Senior Analytics Engineer

MX Technologies, Inc.

Lehi, UT • On-site

$98K - $134K/yr

Full-time

Re-posted 23 days ago

Job description

MX is a fintech company on a mission to empower the world to be financially strong. We build technology that helps banks, credit unions, and fintechs deliver smarter, more intuitive financial experiences to millions of people.
Like many startups, we've navigated real growth challenges - and we've come out stronger on the other side. Today, MX is in a phase ofrenewed momentum and scale, with a solid foundation and a clear vision for what's next. This is a place where thoughtful execution matters, innovation is encouraged, and individuals have real ownership over their work.
Our culture values curiosity, accountability, and impact. We give people the space to question assumptions, design better solutions, and help shape how the company grows. If you're looking to do meaningful work, influence outcomes, and grow alongside a company that's ready to move fast, you'll feel at home at MX.
Job Summary
As a Senior Analytics Engineer within the Operational Analytics department, you'll play a key role in transforming complex, raw data into reliable and performant data products that power insights across MX. You'll combine deep technical expertise in SQL, data modeling, and cloud-based data warehouses (such as Google BigQuery) with a strong sense of data stewardship, ensuring accuracy, accessibility, and trust in the analytics that drive business and product decisions.
This role is ideal for a data professional who thrives at the intersection of engineering and analytics-someone who can architect and maintain scalable data models, enforce high standards for data quality, and collaborate closely with cross-functional partners to enable data-driven decisions. As a trusted internal expert, you'll lead by example through mentorship, documentation, and process innovation, helping elevate data practices across the organization.
Job Duties
  • Data Stewardship:
    Design, build, and maintain data pipelines and models that transform raw data into reliable, production-ready datasets. Manage and document data definitions, lineage, and transformations using GitLab or similar tools.
  • Data Quality and Governance:
    Establish and monitor data quality tests to ensure completeness, accuracy, and consistency. Partner with business stakeholders, IT, and data engineering teams to define and enforce governance standards.
  • Data Accessibility and Democratization:
    Develop intuitive, business-friendly data models and assets optimized for analytics. Ensure the right data is available to the right people at the right time, empowering self-service analytics and operational reporting.
  • Feature Store and Data Product Development:
    Curate and maintain high-value datasets and features in the Feature Store to support analytical and machine learning use cases. Track usage metrics and continually optimize for performance and impact.
  • Collaboration and Mentorship:
    Partner cross-functionally with analysts, engineers, and product teams to define data requirements, identify opportunities for process improvements, and align on strategic priorities. Provide mentorship and technical guidance to junior team members.
  • Continuous Improvement:
    Stay current with emerging technologies, tools, and trends in analytics engineering, cloud computing, and data governance. Lead or contribute to initiatives that improve scalability, efficiency, and reliability of MX's data ecosystem.

Requirements
  • Education:
    Bachelor's degree required, preferably in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
  • Experience:
    Minimum 5 years of experience in analytics engineering, data engineering, or business intelligence roles, with a proven track record of designing and delivering reliable, high-performance data products at scale.
  • Technical Skills:
    • Expert-level SQL proficiency (including advanced window functions, CTEs, subqueries, and query optimization).
    • Strong understanding of dimensional modeling, star/snowflake schemas, and SCD management.
    • Proficiency with cloud data warehouses (Google BigQuery preferred; Snowflake, Redshift, or Databricks acceptable).
    • Familiarity with programming languages such as Python for workflow automation and data quality checks.
    • Experience with modern data versioning and collaboration tools (Git, CI/CD pipelines).
    • Understanding of data governance, lineage, and cataloging tools (e.g., dbt, Dataform, or equivalent).
  • Professional Skills:
    • Proven ability to collaborate cross-functionally and communicate complex data concepts to non-technical audiences.
    • Strong analytical and problem-solving skills, with keen attention to detail and system-level thinking.
    • Demonstrated adaptability and perseverance in fast-paced, evolving environments.
    • Commitment to quality, transparency, and building trust through reliable data products.
    • Track record of mentoring peers and contributing to the growth of data capabilities within an organization.

At MX, we are a high-performance organization that thrives on trust and results. This role is based in Lehi, Utah. We believe in empowering our team members to deliver exceptional outcomes while taking advantage of our incredible office space when it best supports their work. Our Utah office features onsite perks such as company-paid meals, a sports simulator, gym, mother's lounge, and meditation room and meaningful interactions with amazing people. We encourage team members to come together in the office to collaborate, kick off key projects, or strategize cross-functionally, fostering connection and innovation.
MX is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses. All your information will be kept confidential according to EEO guidelines. You may request reasonable accommodations by sending an email to hr@mx.com.

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