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Data Engineer Manager Jobs in Nevada (NOW HIRING)

A Senior Data Engineer is responsible for designing, building, and managing data platforms and tools that enable efficient processing, analysis, and utilization of large-scale data. This role focuses ...

Senior Data Engineer

Las Vegas, NV · On-site

$120K - $150K/yr

Bachelor's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Senior Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools for efficient processing and analysis of large data sets, while collaborating with business ...

The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains ...

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 tools to allow for the efficient processing and analysis of large data sets. Develops and maintains ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Senior Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

Fusion HCR is seeking a highly skilled Data Engineer to design, enhance, and support innovative ... managing multiple initiatives simultaneously. • Partner with Product Management to define and ...

Solve complex problems while ensuring protection of data, models, and systems. Hands-On AI Security ... As a Manager in AI Security Engineering, you will play a critical role in securing the development ...

Technical Program Manager

Las Vegas, NV · On-site

$123K - $159K/yr

The TPM will drive strategy, delivery, and governance across data engineering, analytics, and platform modernization efforts--managing roadmaps, budgets, risks, and stakeholder communication while ...

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Data Engineer Manager information

See Nevada salary details

$45.3K

$132.1K

$180.8K

How much do data engineer manager jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data engineer manager 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 are some typical challenges a Data Engineer Manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What engineers make 200,000 a year?

Senior data engineer managers and experienced data engineering leaders often earn $200,000 or more annually, especially in high-demand industries or large organizations. These roles typically require advanced skills in data architecture, cloud platforms, and leadership, along with several years of experience.

What engineers make 300,000 a year?

Senior data engineer managers and experienced data engineering leaders often earn $300,000 or more annually, especially in high-cost-of-living areas or within large tech companies. These roles typically require advanced skills in cloud platforms, data architecture, and leadership, along with extensive industry experience and relevant certifications.

What does a data engineer manager do?

A data engineer manager oversees teams responsible for designing, building, and maintaining data pipelines and infrastructure. They coordinate data collection, storage, and processing efforts, often using tools like SQL, Hadoop, or Spark, and ensure data quality and security while aligning projects with organizational goals.

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

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a Data Engineer Manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation often involves leadership roles, performance bonuses, and stock options in large organizations or tech companies.
What are the most commonly searched types of Data Engineer jobs in Nevada? The most popular types of Data Engineer jobs in Nevada are:
What are popular job titles related to Data Engineer Manager jobs in Nevada? For Data Engineer Manager jobs in Nevada, the most frequently searched job titles are:
What cities in Nevada are hiring for Data Engineer Manager jobs? Cities in Nevada with the most Data Engineer Manager job openings:
Infographic showing various Data Engineer Manager job openings in Nevada as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $132,091 per year, or $63.5 per hour.

Sr. Data Engineer

KēSTA I.T.

Las Vegas, NV

$125K - $151K/yr

Full-time

Posted 15 days ago


Job description

Come build, innovate, disrupt, and thrive!


KēSTA I.T. is actively seeking a Senior Data Engineers for two immediate full-time opportunities with our industry leading client.


Are you on the lookout for a unique career opportunity that offers leadership, responsibility, and the chance to make a significant impact? If you're eager to contribute to a thriving and stable organization while maintaining your confidentiality, continue reading.



A Senior Data Engineer is responsible for designing, building, and managing data platforms and tools that enable efficient processing, analysis, and utilization of large-scale data. This role focuses on developing scalable data pipelines, ensuring data quality, and supporting the deployment of advanced analytics and machine learning solutions into production environments.


This individual partners closely with business and technical teams to enhance data models, improve accessibility, and drive data-informed decision-making. The role supports both real-time and batch processing capabilities and translates complex business requirements into scalable, high-performing data solutions.


Responsibilities

  • Design, develop, and maintain real-time and batch data pipelines to process large volumes of data
  • Build and support tools for data ingestion, transformation, curation, and provisioning across first- and third-party data sources
  • Develop advanced data products and APIs to enable analytics, reporting, and data science use cases
  • Monitor system performance, conduct testing, troubleshoot issues, and implement enhancements
  • Lead data analysis efforts and design data architectures that support business intelligence, AI/ML, and data product initiatives
  • Design and implement scalable data platform architectures that meet organizational needs for performance, flexibility, and reliability
  • Ensure solutions meet operational requirements such as scalability, maintainability, extensibility, and data integrity
  • Provide technical leadership, mentorship, and guidance to team members
  • Lead code reviews and promote best practices, including test-driven development and CI/CD


Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related field
  • Master’s degree preferred
  • 8+ years of experience in data engineering, including full-stack data capabilities
  • 10+ years of experience in software development or programming
  • 5+ years of experience working with cloud platforms (e.g., Azure, AWS, GCP)
  • Strong SQL expertise and data querying skills


Technical Skills:

  • Proficiency in Python and experience with CI/CD practices
  • Experience with machine learning pipelines and production deployment (preferred)
  • Hands-on experience with modern data platforms (e.g., Databricks, Spark, Fabric or similar technologies)
  • Strong background in infrastructure and cloud-based data architectures
  • Experience designing and building data pipelines for big data, NoSQL, and data warehouse solutions
  • Familiarity with real-time streaming technologies (e.g., Kafka, Event Hub or similar)
  • Experience with RESTful APIs, messaging systems, and integration patterns
  • Hands-on experience with cloud-native data services (e.g., data lakes, ETL tools, streaming services, analytics platforms)
  • Strong expertise in data architecture and data modeling
  • Experience implementing data quality frameworks and data governance practices
  • Familiarity with BI and visualization tools (e.g., Power BI, Tableau or similar)


Additional Qualifications:

  • Experience working in Agile environments
  • Strong analytical, problem-solving, and communication skills
  • Ability to occasionally support off-hours work as needed



About KēSTA I.T.:


Our name says it all; KēSTA I.T. (Keys-to-I.T.) AND our people are our keys to our success!


KēSTA I.T. is a premier Utah-based technical staffing and consulting services firm. We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, Data, End-User support, Web and Executive / leadership-based positions on a full time and consulting basis. If you're interested in a role where top performance is rewarded, personal time is valued, and excellence is demanded at every level we want to talk to you today!


Where do you want to go? We've got the keys! ~ KēSTA I.T.


WWW.KeSTAIT.COM