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Databricks Data Engineer Jobsexternal in Nevada (NOW HIRING)

Programmers.io

Technical Program Manager

Las Vegas, NV · On-site

$123K - $159K/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 ...

Pwc

Data Engineer - Senior Manager

Las Vegas, NV · On-site

$124K - $280K/yr

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

Fusion HCR

Sr Data Engineer

Las Vegas, NV · On-site

$109K - $131K/yr

Fusion HCR is a national property management organization seeking a Senior Data Engineer to enhance their modern Databricks-first data platform. The role involves designing and optimizing data ...

Fusion HCR

Sr Data Engineer

Las Vegas, NV · On-site

$97K - $131K/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)

Amh

Senior Data Engineer

Las Vegas, NV · On-site

$121K - $151K/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 ...

American Homes 4 Rent

Senior Data Engineer

Las Vegas, NV · On-site

$121K - $151K/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 ...

AMH

Senior Data Engineer

Las Vegas, NV · On-site

$121K - $151K/yr

Minimum of eight (8) years of experience as a data engineer with full-stack capabilities * Minimum ... Hands-on experience with Databricks, Spark, Fabric, or similar technologies * Experience in Agile ...

AMH

Senior Data Engineer

Las Vegas, NV · On-site

$125 - $150/hr

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 ...

MGM Resorts International

Lead Data Engineer

Las Vegas, NV · On-site

$121K - $162K/yr

The Senior Data Engineer provides technical leadership in the architecture, development, and ... Build and optimize enterprise data platforms using Databricks, Spark, Delta Lake, and Azure cloud ...

KēSTA I.T.

Sr. Data Engineer

Las Vegas, NV · On-site

$125K - $151K/yr

A Senior Data Engineer is responsible for designing, building, and managing data platforms and ... Hands-on experience with modern data platforms (e.g., Databricks, Spark, Fabric or similar ...

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All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Nevada

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 Sep 11, 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?

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 does a Databricks data engineer do?

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 key skills and qualifications needed to thrive as a Databricks data engineer?

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.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

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 job categories do people searching Databricks Data Engineer jobs in Nevada look for?

The top searched job categories for Databricks Data Engineer jobs in Nevada are:

Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Nevada as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 90% In-person, 2% Hybrid, and 8% Remote job distribution, with an average salary of $132,091 per year, or $63.5 per hour.

Technical Program Manager

Las Vegas, NV • On-site

Programmers.io
IT Services • 501 - 1,000 employees
Learn more about Programmers.ioexternal

$123K - $159K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Role Summary

We are seeking a senior Technical Program Manager to lead complex, multi‑workstream data platform initiatives using Databricks and modern ETL/ELT patterns. The TPM will drive strategy, delivery, and governance across data engineering, analytics, and platform modernization efforts—managing roadmaps, budgets, risks, and stakeholder communication while enabling high-performing teams to deliver business value at scale.

Key Responsibilities

Program Leadership & Strategy

  • Own end‑to‑end program strategy, roadmap, and execution for Databricks‑centric data platform initiatives.
  • Translate business outcomes into measurable OKRs/KPIs and delivery milestones.
  • Orchestrate cross‑functional delivery across data engineering, platform, DevOps, QA, and security teams.

Delivery Management

  • Establish delivery governance (RAID, change control, dependencies, risk burndown) and ensure on‑time, on‑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 for Databricks (Apache Spark, Delta Lake, Unity Catalog), ETL/ELT flows, and 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.
  • Implement 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 third‑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.

Must‑Have Skills

Program Management

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

Databricks & Data Engineering

  • Databricks (Spark, Delta Lake, Unity Catalog, Job clusters), performance tuning & cost governance.
  • ETL/ELT using Azure Data Factory / Synapse Pipelines / dbt / Airflow / Informatica (any strong combo).
  • Strong SQL & practical Python 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 GCP—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 (15–40 members), mentorship, and conflict resolution.
  • Clear, concise communication with senior business and technical audiences.

Good‑to‑Have

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

Education

  • Bachelor’s or Master’s in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).