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Overnight Databricks Data Engineer Jobs in Utah (NOW HIRING)

Data Architect

Lehi, UT · On-site

$59.75 - $77/hr

Relevant certifications (Databricks Certified Data Engineer, SnowPro, or similar) * Experience with multi-country compliance requirements (data residency, privacy regulations, cross-border data ...

Data Architect

Lehi, UT · On-site

$140 - $190/hr

Relevant certifications (Databricks Certified Data Engineer, SnowPro, or similar) * Experience with multi-country compliance requirements (data residency, privacy regulations, cross-border data ...

Staff Data Architect

Lehi, UT · On-site

$140 - $210/hr

Relevant certifications (Databricks Certified Data Engineer, SnowPro, or similar) * Experience with multi-country compliance requirements (data residency, privacy regulations, cross-border data ...

What we're looking for- Strong EDW and data lake/lakehouse fundamentals in production -- Databricks ideally.- Healthcare PHI/HIPAA experience; EHR data experience a strong plus.- Proven hands-on dbt ...

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 ...

... Databricks Certified Data Engineer/Data Analyst/ML - Proven leadership in data-driven strategies - Demonstrating thought leadership in data governance - Collaborating on strategy and transformation ...

Data Architect - Staff

West Valley City, UT · On-site +1

$44.36 - $69.85/hr

... Factory, Databricks). * Proficiency with Python or PySpark or R programming * Excellent ... Proficiency in data streaming technologies such as Kafka, AWS Kinesis, or Azure Event Hubs.

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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 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:

Data Architect

Opiniion

Lehi, UT • On-site

$59.75 - $77/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago


Key responsibilities

  • Own the architecture of the data platform, including ingestion, transformation, storage, and semantic/BI layers.

  • Partner with the Staff Software Architect to co-drive the architecture and rollout of the new platform.

  • Design and implement data models, pipelines, and standards to support analytics, AI, and data governance across the organization.


Job description

Opiniion is a resident experience tool that partners with property management to create better living experiences for their residents. Our platform has helped thousands of property managers collect and act on real-time feedback, improve resident experiences, and enhance their online reputation. Opiniion is committed to exceptional service and innovation, earning recognition as one of America's fastest-growing private companies. Driven by a forward-thinking team, we're shaping the future of resident engagement. Our continued growth and commitment to innovation make this an exciting time to be part of our team!
LOCATION: Lehi, UT
HYBRID: Monday-Wednesday In-office
POSITION OVERVIEW:
Opiniion is a SaaS, AI first company reshaping how businesses understand and act on customer feedback. We're looking for a Staff Data Architect to own the architecture of our data platform end to end: how data is ingested, modeled, governed, and made available for analytics and AI across the company. As we scale, this role will be critical to building a data foundation that can support increasingly sophisticated analytical models.
You'll partner closely with our Staff Software Architect to drive the technical direction of our next generation platform, pairing deep data architecture with application architecture to build something cohesive from the ground up.
We're building a new platform alongside our current one, so this role requires balance: owning and evolving the current data foundation while architecting what's next, and making clear decisions about what carries over versus what gets rebuilt.
This is a role for someone who thinks in data models and pipelines, can make platform level tradeoffs with confidence, and stays hands on with the systems they design.
WHAT YOU'LL DO:
  • Own the architecture of our data platform, including ingestion, transformation, storage, and semantic/BI layers
  • Partner with the Staff Software Architect to co-drive the architecture and rollout of our new platform
  • Balance ownership of the current data platform with architecting the new one, making deliberate calls on what to carry over, what to rebuild, and how the two coexist during the transition
  • Architect the data foundation needed to scale, ensuring the platform can support growing data volume, complexity, and analytical demand
  • Own canonical data models, schema design, and data architecture standards across the platform
  • Design and implement correlation, causation, and statistical models to support deeper, more reliable insights across the platform
  • Lead platform decisions across our data stack, built primarily on Databricks
  • Architect governed, reusable data pipelines feeding BI tools like Omni and downstream AI/ML use cases
  • Establish data quality, governance, and lineage practices across the organization
  • Partner with engineering leadership and business stakeholders to translate reporting and analytics needs into scalable data architecture
  • Guide and mentor data engineers through design reviews, technical documentation, and hands on support
  • Evaluate and recommend data tools, frameworks, and platform investments, including build vs. buy calls
  • Support AI/ML initiatives with well modeled, accessible, and trustworthy data foundations

WHAT YOU BRING:
  • 10+ years of experience in data engineering or data architecture, including 7+ years in an architect or technical leadership capacity
  • Deep expertise in Databricks (Delta Lake, Unity Catalog) or a comparable modern cloud data platform such as Snowflake
  • Strong background in data modeling methodologies (dimensional modeling, medallion/lakehouse architecture, data vault)
  • Experience designing statistical, correlation, and causation models to support analytics and decision making
  • Hands on experience with ETL/ELT tools and orchestration (dbt, Airflow, Fivetran, or similar)
  • Proficiency in SQL and Python, with experience in distributed processing (Spark/PySpark)
  • Experience designing data governance frameworks including data quality, lineage, and access control
  • Familiarity with BI and semantic layer tools (Omni, Looker, Tableau, or similar)
  • Working knowledge of cloud infrastructure (AWS, GCP, or Azure)
  • Understanding of security and compliance frameworks relevant to data platforms (SOC 2, data privacy regulations)
  • Exposure to AI/ML data readiness: feature pipelines, vector stores, or RAG-supporting data architectures is a strong plus
  • Excellent communication skills, with the ability to translate technical tradeoffs for non-technical stakeholders
  • A strong bias for action and a mindset of continuous improvement
  • Comfort co-owning technical direction alongside a peer architect, without needing a single-owner model

NICE TO HAVE:
  • Experience with Databricks AI/BI or similar embedded AI/analytics tooling
  • Background in post-acquisition data integration or consolidating disparate data sources
  • Relevant certifications (Databricks Certified Data Engineer, SnowPro, or similar)
  • Experience with multi-country compliance requirements (data residency, privacy regulations, cross-border data handling)
  • Background in high-growth SaaS environments or post-acquisition infrastructure consolidation

Join Opiniion's dynamic development team and contribute your skills to build innovative solutions. If you are a passionate Data Architect seeking a challenging and collaborative environment, we'd love to hear from you!
OPINIION'S CULTURE:
At Opiniion, we take our work seriously, but we don't take ourselves too seriously! We work hard together, and we have a lot of fun doing it. We are a team that believes in real autonomy: you own your area, solve problems, and move fast enough to actually see the change you make. The people here are invested in each other just as much as they're invested in the work, and that combination is what makes this place different. We believe in collaboration, innovation, and building a team that truly cares-about our clients, their residents, and each other.
BENEFITS SNAPSHOT:
  • Comprehensive healthcare plans, encompassing medical, dental, and vision insurance, along with group life coverage. Opiniion covers 40-90% of the premium cost for employees and all dependents.
  • 401(k) retirement plan with a 100% corporate match on the first 1% and 50% match on the next 5%.
  • Pre-tax Health Savings Accounts (HSA).
  • Paid Parental Leave for all new parents (including adoption or foster care).
  • Unlimited Time Off policies.
  • 10 Paid Holidays annually.
  • Monthly Wellness Reimbursement benefit.

*Note that the above benefits are available only to full-time employees of Opiniion*
Opiniion is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances.