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Databricks Data Engineer Jobs in Nevada (NOW HIRING)

Technical Program Manager

Las Vegas, NV ยท On-site

$123.20K - $159.50K/yr

Databricks & Data Engineering * Databricks (Spark, Delta Lake, Unity Catalog, Job clusters), performance tuning & cost governance. * ETL/ELT using Azure Data Factory / Synapse Pipelines / dbt ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Sr Data Engineer

Las Vegas, NV

$97K - $131.80K/yr

Senior Data Engineer Location: Las Vegas, NV Work Arrangement: 100% Onsite - 5 days per week ... Hands-on Databricks experience (Required) * Strong Python scripting and SQL (daily, hands-on use)

Sr Data Engineer

Las Vegas, NV

$97K - $131.80K/yr

Senior Data Engineer Location: Las Vegas, NV Work Arrangement: 100% Onsite - 5 days per week ... Hands-on Databricks experience (Required) * Strong Python scripting and SQL (daily, hands-on use)

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Senior Data Engineer

Las Vegas, NV ยท On-site

$120K - $150K/yr

As a Senior Data Engineer, you will be responsible for : * Design, develop, and maintain real-time ... Hands-on experience with Databricks, Spark, Fabric, or similar technologies * Experience in Agile ...

Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for... * Build, configure, and support Databricks environments across Microsoft Azure, Amazon Web Services, and ...

Senior Data Engineer

Las Vegas, NV

$121.12K - $151.40K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and ... Hands-on experience with Databricks, Spark, Fabric, or similar technologies * Experience in Agile ...

Senior Data Engineer

Las Vegas, NV ยท On-site

$121.12K - $151.40K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and ... Hands-on experience with Databricks, Spark, Fabric, or similar technologies * Experience in Agile ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate - Managing consulting engagements pertaining to Data Architecture, MDM ...

Data Architect

Virginia City, NV

$65.25 - $84/hr

You will work closely with data engineers, cloud teams, analysts, and stakeholders to build robust ... Databricks Palantir Foundry (nice to have) Strong experience with: Data lakes Data warehouses ...

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

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

... 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 ...

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Databricks Data Engineer information

See Nevada salary details

$45.3K

$132.1K

$180.8K

How much do databricks data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for databricks data engineer in Nevada is $132,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,600.00 and $140,000.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What are the key skills and qualifications needed to thrive in the Databricks Data Engineer position, and why are they important?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.
What are the most commonly searched types of Databricks Data Engineer jobs in Nevada? The most popular types of Databricks Data Engineer jobs in Nevada are:
What are popular job titles related to Databricks Data Engineer jobs in Nevada? For Databricks Data Engineer jobs in Nevada, the most frequently searched job titles are:
What cities in Nevada are hiring for Databricks Data Engineer jobs? Cities in Nevada with the most Databricks Data Engineer job openings:
Infographic showing various Databricks Data Engineer job openings in Nevada as of May 2026, with employment types broken down into 91% Full Time, 4% Part Time, 1% Temporary, and 4% Contract. Highlights an 58% Physical, and 42% Remote job distribution, with an average salary of $132,091 per year, or $63.5 per hour.
Technical Program Manager

Technical Program Manager

Programmers.io

Las Vegas, NV โ€ข On-site

$123.20K - $159.50K/yr

Full-time

Posted 10 days ago


Job description

Role Summary

We are seeking a senior Technical Program Manager to lead complex, multiโ€‘workstream data platform initiatives usingย Databricksย and modernย ETL/ELTย patterns. The TPM will drive strategy, delivery, and governance across data engineering, analytics, and platform modernization effortsโ€”managing roadmaps, budgets, risks, and stakeholder communication while enabling high-performing teams to deliver business value at scale.


Key Responsibilities

Program Leadership & Strategy

  • Own endโ€‘toโ€‘end program strategy, roadmap, and execution for Databricksโ€‘centric data platform initiatives.
  • Translate business outcomes into measurable OKRs/KPIs and delivery milestones.
  • Orchestrate crossโ€‘functional delivery across data engineering, platform, DevOps, QA, and security teams.

Delivery Management

  • Establish delivery governance (RAID, change control, dependencies, risk burndown) and ensure onโ€‘time, onโ€‘budget delivery.
  • Drive Agile at scale (Scrum/Kanban/SAFe), sprint health, throughput, and release management.
  • Define and enforce SLAs/SLOs for data pipelines, batch/streaming jobs, and analytics products.

Technical Program Ownership (Databricks/ETL)

  • Guide solution direction forย Databricks (Apache Spark, Delta Lake, Unity Catalog),ย ETL/ELTย flows, andย data warehousing.
  • Oversee modernization/migration programs (onprem to cloud), cost optimization (cluster policies, job scheduling), and performance tuning.
  • Ensure robust CI/CD for data pipelines, IaC for platform components, and environment parity across Dev/Test/Prod.

Data Architecture & Governance

  • Partner with architects on data models, lakehouse patterns, CDC, and medallion architecture.
  • Implementย data quality, lineage, cataloging, and access controls (e.g., Unity Catalog, row/column-level security).
  • Ensure compliance with data privacy and regulatory requirements (e.g., PII/GDPR as applicable).

Stakeholder & Customer Management

  • Engage senior business stakeholders, product owners, and client leadership; manage expectations and executive reporting.
  • Convert ambiguous requirements into clear program epics with acceptance criteria and success measures.
  • Lead partner/vendor engagements, SOWs, and thirdโ€‘party delivery alignment.

People Leadership

  • Build and mentor high-performing teams (engineering managers, data engineers, analysts, QA).
  • Lead hiring, capacity planning, performance management, and career development.
  • Promote engineering excellence, documentation discipline, and a culture of continuous improvement.

Financials & Commercials

  • Own program budgets, resource plans, and cost controls (cloud/Databricks spend).
  • Track and report financials: forecasts, burn rates, and variance analysis.
  • Support proposals, estimations, and SOW renewals/extensions.

Mustโ€‘Have Skills

Program Management

  • Enterprise-scale program ownership, governance, RAID management, executive communication.
  • Strong backlog management, prioritization, and stakeholder alignment.
  • Proven delivery of multiโ€‘workstream, multiโ€‘vendor programs.

Databricks & Data Engineering

  • Databricks (Spark, Delta Lake, Unity Catalog, Job clusters), performance tuning & cost governance.
  • ETL/ELT usingย Azure Data Factory / Synapse Pipelines / dbt / Airflow / Informaticaย (any strong combo).
  • Strongย SQLย & practicalย Pythonย for data workflows; CI/CD (Azure DevOps/GitHub Actions/Jenkins).
  • Data warehousing/lakehouse patterns; batch & streaming (e.g., Structured Streaming).

Cloud (one or more)

  • Azure (preferred), AWS, or GCPโ€”including storage, compute, IAM, networking basics, and monitoring.

Data Governance & Quality

  • Data cataloging/lineage, DQ frameworks, access control, secrets management, auditability.

Leadership & Communication

  • Team leadership (15โ€“40 members), mentorship, and conflict resolution.
  • Clear, concise communication with senior business and technical audiences.

Goodโ€‘toโ€‘Have

  • Certifications: PMP/Prince2, SAFe/CSM,ย Databricks Data Engineer Professional,ย Azure/AWSย cloud certs.
  • Tools: Terraform/Bicep, Datadog/CloudWatch/Log Analytics, Great Expectations, Monte Carlo, Collibra/Purview.
  • Domain exposure: Media/Entertainment, Telecom, BFSI, or Retail/Eโ€‘commerce.

Education

  • Bachelorโ€™s or Masterโ€™s in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).