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Senior Data Engineer Manager Jobs in Nevada (NOW HIRING)

Fusion HCR

Sr Data Engineer

Las Vegas, NV

$97K - $131K/yr

Senior Data Engineer Location: Las Vegas, NV Work Arrangement: 100% Onsite - 5 days per week ... Property Management / Real Estate Technology Client: Fusion client - large, national property ...

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 ...

KēSTA I.T.

Sr. Data Engineer

Las Vegas, NV

$97K - $131K/yr

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 ...

MDAEdge

Senior Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

MDAEdge is a company focused on data engineering solutions, and they are seeking a Senior Data ... and data management. • Experience implementing workflow orchestration using tools like Apache ...

Amh

Senior Data Engineer

Las Vegas, NV

$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 ...

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

AMH

Senior Data Engineer

Las Vegas, NV · On-site

$121K - $151K/yr

... Senior Data Engineer is responsible for designing, building, and managing the data platform and ... Bachelor's degree in computer science, information systems, data science, management information ...

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 operational management of enterprise data platforms and integration services that enable data-driven ...

Pwc

Data Engineer - Senior Manager

Las Vegas, NV

$124K - $280K/yr

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

Booz Allen Hamilton

Data Engineer

Nellis Air Force Base, NV · On-site

$108K - $130K/yr

You'll use your experience in analytical exploration and data examination while you manage the ... senior nontechnical stakeholders * Secret clearance * Bachelor's degree Nice If You Have: * 3+ ...

Wynn Las Vegas

Sr. Engineer - Data Security

Las Vegas, NV

$109K - $149K/yr

Role Summary The Sr. Data Security Engineer is responsible for the technical design and maturity of ... Implement, manage, and advance data protection, retention, and lifecycle controls, including ...

Wynn Resorts

Sr. Engineer - Data Security

Las Vegas, NV · On-site

$109K - $149K/yr

Role Summary The Sr. Data Security Engineer is responsible for the technical design and maturity of ... Implement, manage, and advance data protection, retention, and lifecycle controls, including ...

Wynn Resorts

Sr. Engineer - Data Security

Las Vegas, NV · On-site

$109K - $149K/yr

Company Description Role Summary The Sr. Data Security Engineer is responsible for the technical ... Implement, manage, and advance data protection, retention, and lifecycle controls, including ...

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Senior Data Engineer Manager information

What does a Senior Data Engineer Manager do?

A Senior Data Engineer Manager oversees teams of data engineers responsible for designing, building, and maintaining an organization’s data infrastructure. They develop strategies for data architecture, ensure the quality and security of data systems, and collaborate with other departments to meet business goals. In addition to technical responsibilities, they manage team performance, provide mentorship, and align data initiatives with company objectives.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer Manager?

To thrive as a Senior Data Engineer Manager, you need deep expertise in data engineering, architecture, and leadership, typically backed by a degree in computer science or a related field and several years of experience. Proficiency with big data tools (such as Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, or GCP), and data pipeline orchestration systems is essential, and certifications in these technologies can be advantageous. Exceptional communication, team management, and strategic thinking skills help you lead teams and align data solutions with business goals. These skills and qualities are vital for building scalable data infrastructure, fostering high-performing teams, and delivering actionable insights to drive organizational success.

What are some common challenges that Senior Data Engineer Managers face when leading data teams?

Senior Data Engineer Managers often encounter challenges in balancing strategic oversight with hands-on technical leadership. Managing cross-functional teams means coordinating efforts across data engineering, analytics, and business stakeholders, which can lead to complex communication and prioritization issues. Additionally, overseeing large-scale data infrastructure projects requires staying updated on evolving technologies while ensuring data quality and security. Effective delegation, fostering team growth, and aligning technical solutions with business goals are key to overcoming these challenges.

What is the difference between Senior Data Engineer Manager vs Data Engineer?

AspectSenior Data Engineer ManagerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often leadership experienceBachelor's in CS, Data Science, or related
Work EnvironmentLeads teams, manages projects, strategic planningDevelops data pipelines, coding, data modeling
Industry UsageCommon in organizations with large data teamsEntry to mid-level roles in data teams

The Senior Data Engineer Manager oversees data engineering teams and projects, focusing on leadership and strategy, while Data Engineers primarily build and maintain data pipelines and infrastructure. The managerial role requires leadership skills and experience, whereas Data Engineers focus on technical execution.

What are popular job titles related to Senior Data Engineer Manager jobs in Nevada?

For Senior Data Engineer Manager jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer Manager jobs in Nevada look for?

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

Senior Data Engineer Manager jobs near you

Sr Data Engineer

Las Vegas, NV

Fusion HCR
Human Resources Consulting Services • 11 - 50 employees
Learn more about Fusion HCRexternal

$97K - $131K/yr

Full-time

Re-posted 11 days ago

Job description

Senior Data Engineer
Location: Las Vegas, NV 
Work Arrangement: 100% Onsite – 5 days per week (Required)
Employment Type: Direct Hire
Industry: Property Management / Real Estate Technology
Client: Fusion client – large, national property management organization
Position Summary
A Fusion client in the property management space is seeking a Senior Data Engineer to play a key role in building, scaling, and optimizing a modern Databricks-first data platform. This role is heavily hands-on and focused on designing and improving Spark-based data pipelines using Databricks, Python, and SQL in a cloud environment.
The Senior Data Engineer will lead large-scale data initiatives, including onboarding new data sources into the data warehouse, building real-time and batch data pipelines, and significantly improving pipeline performance and reliability. This role partners closely with engineering, analytics, and business teams to deliver scalable data solutions that support analytics, BI, and future AI/ML use cases.
Critical Skill Priorities (In Order of Importance)
  • Hands-on Databricks experience (Required)
  • Strong Python scripting and SQL (daily, hands-on use)
  • Apache Spark for cloud data loading and transformation
  • Large-scale data initiatives (new source ingestion, platform expansion)
  • Real-time and streaming data pipelines
  • Pipeline performance tuning and optimization

Key Responsibilities
  • Design, build, and maintain real-time and batch data pipelines using Databricks and Spark
  • Develop Python- and Spark-based processes for cloud data ingestion, transformation, and loading
  • Lead large data initiatives such as:
  • Bringing new internal and external data sources into the data warehouse
  • Supporting streaming and near–real-time data use cases
  • Improving pipeline speed, scalability, and reliability
  • Design and evolve data architecture supporting analytics, BI, and future AI/ML initiatives
  • Collaborate with cross-functional teams to translate business requirements into scalable data solutions
  • Monitor pipeline health, troubleshoot data issues, and improve system performance
  • Participate in code reviews and promote best practices around testing, CI/CD, and maintainable data pipelines
  • Contribute to the design and development of data products and data services consumed across the organization

Required Qualifications
  • Bachelor’s degree required in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Statistics, or a related field
  • Candidates with fewer years of experience may be considered only if degree requirements are met
  • 5+ years of hands-on experience as a Data Engineer
  • Strong, hands-on experience with Databricks and Apache Spark
  • Strong proficiency in Python scripting for data processing and pipeline development
  • Advanced SQL skills for analytics, transformations, and troubleshooting
  • Experience building and supporting cloud-based data pipelines
  • Experience working with large-scale data platforms and warehouses
  • Strong troubleshooting and problem-solving skills

Preferred / Nice-to-Have Qualifications
  • Experience with Snowflake (may be considered in place of some Databricks experience)
  • Experience with streaming technologies (Spark Streaming, Kafka, Event Hub, etc.)
  • Experience optimizing and tuning data pipelines for performance and scalability
  • Experience with CI/CD practices in data engineering environments
  • Familiarity with BI tools such as Power BI or Tableau
  • Experience working in Agile development environments