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Data Integrity Engineer Jobs in Nevada (NOW HIRING)

Sr. Engineer - Data Analytics

Las Vegas, NV

$109K - $131K/yr

The Data Engineer will create and manage solutions which turn data into knowledge. Roles ... Ensure Data Integrity and Quality: Maintain data integrity and quality throughout the data flow and ...

They are seeking an AI Data Engineer - Manager to lead data architecture and engineering delivery for AI/ML/GenAI solutions, ensuring data integrity and scalability while managing a team and ...

Data Interrogation Team Member-3

Henderson, NV · On-site

$106K - $128K/yr

Utilise all available resources to interrogate and analyse information and maintain data integrity. Support a performance culture to ensure activities and results can be monitored and measured ...

Utilise all available resources to interrogate and analyse information and maintain data integrity. Support a performance culture to ensure activities and results can be monitored and measured ...

Fleet Support Engineer Location: Las Vegas, NV (Onsite) Duration: 06+ months (Possible Extension ... and data integrity. Historical review of vehicle/fleet data, including sensor data, identifying ...

Senior Database Engineer

Las Vegas, NV · Remote

$101K - $137K/yr

... Engineer to join our team. JOB SUMMARY This role works independently or as a key member of a cross ... data integrity, recoverability, and ease of support. POSITION REQUIREMENTS Eight (8) years of ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... You are expected to lead with integrity and authenticity, articulating our purpose and values in a ...

Senior Data Analyst

Las Vegas, NV

$82K - $103K/yr

Our team of engineers, marketers, artists, writers, data scientists, producers, problem solvers ... integrity and data quality. Acts as a lead on routine projects, being able to estimate, break down ...

Senior Data Analyst

Las Vegas, NV · On-site

$82K - $103K/yr

Our team of engineers, marketers, artists, writers, data scientists, producers, problem solvers ... data integrity and data quality. • Acts as a lead on routine projects, being able to estimate ...

You are expected to lead with integrity and authenticity, articulating our purpose and values in a ... data engineering capabilities - Leading teams in the strategic planning and execution of data ...

... data integrity, schema-impact review, integration patterns with automation systems * Partner with ... Performance Engineering & Observability * Build deep database observability beyond basic dashboards.

... integrity of data movement within the organization, and enhanced data architecture to support ... Required Skills 6+ years work experience in job as database programmer OR 3+ years work experience ...

Senior Data Engineer

Las Vegas, NV · On-site

$120K - $150K/yr

As a Senior Data Engineer, you will be responsible for : * Design, develop, and maintain real-time ... and integrity. * Provide technical leadership and mentorship to team members. Leads peer ...

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Showing results 1-20

Data Integrity Engineer information

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise remains critical for ensuring data quality, security, and integration. AI tools serve as complementary technologies that enhance efficiency but do not eliminate the role of data engineers.

What are the 4 types of data integrity?

Data integrity in a Data Integrity Engineer role refers to the accuracy, consistency, and reliability of data throughout its lifecycle. The four main types are physical integrity (protection against physical damage), logical integrity (accuracy and consistency of data within databases), referential integrity (maintaining valid relationships between data tables), and data integrity constraints (rules enforcing data validity). Ensuring these types involves implementing validation, access controls, and audit mechanisms to maintain high-quality data in organizational systems.

What does an integrity engineer do?

An integrity engineer is responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They develop and implement data validation, monitoring, and quality control processes, often using tools like SQL, Python, or data management software, to maintain data integrity across systems.

What is the difference between Data Integrity Engineer vs Data Quality Analyst?

AspectData Integrity EngineerData Quality Analyst
Primary FocusEnsuring accuracy, consistency, and security of data across systemsAssessing and improving data quality, completeness, and usability
Skills & CertificationsDatabase management, SQL, data governance, certifications like CDMPData analysis, data profiling, quality frameworks, certifications like CDMP
Work EnvironmentIT teams, data engineering, database administrationBusiness analysis, data analysis teams, quality assurance
Industry UsageTech, finance, healthcare, where data security is criticalRetail, marketing, finance, focusing on data usability

While both roles focus on data, Data Integrity Engineers primarily ensure data security and consistency across systems, whereas Data Quality Analysts focus on assessing and improving data quality for business insights. Both roles often collaborate but serve distinct functions within data management.

What are the key skills and qualifications needed to thrive as a Data Integrity Engineer, and why are they important?

To thrive as a Data Integrity Engineer, you need strong analytical skills, a background in computer science or information systems, and experience with data management principles. Familiarity with database platforms (such as SQL), data validation tools, and knowledge of regulatory compliance standards are typically required. Attention to detail, problem-solving ability, and effective communication help ensure data accuracy and facilitate collaboration across teams. These skills are critical for maintaining reliable, secure, and compliant data systems that support informed business decisions.

What engineers make $500,000?

Senior engineers in high-demand fields such as software, data engineering, and specialized engineering roles can earn $500,000 or more annually, especially with experience, advanced skills, and in certain industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, and reaching this level typically requires extensive expertise and leadership responsibilities.

What are Data Integrity Engineers?

Data Integrity Engineers are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization’s systems. They design and implement processes to prevent data corruption, loss, or unauthorized modification. These engineers work closely with database administrators, data analysts, and IT teams to monitor data flows, validate data quality, and enforce data governance policies. Their role is crucial in industries where high-quality data is essential for decision-making, compliance, and operational efficiency.

What are some common challenges Data Integrity Engineers face when ensuring data quality across large, complex systems?

Data Integrity Engineers often encounter challenges such as managing data consistency across multiple databases, identifying and resolving discrepancies caused by data migrations, and ensuring compliance with regulatory standards. Additionally, they must frequently collaborate with software developers and database administrators to implement automated validation processes and address data anomalies promptly. Staying updated with evolving best practices and tools is crucial, as data environments and requirements can change rapidly in large organizations.
What are popular job titles related to Data Integrity Engineer jobs in Nevada? For Data Integrity Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Data Integrity Engineer jobs in Nevada look for? The top searched job categories for Data Integrity Engineer jobs in Nevada are:
Infographic showing various Data Integrity Engineer job openings in Nevada as of June 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Hybrid job distribution.
Sr. Engineer - Data Analytics

Sr. Engineer - Data Analytics

Wynn Resorts

Las Vegas, NV

$109K - $131K/yr

Full-time

Posted 15 days ago


Wynn Resorts rating

7.5

Company rating: 7.5 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

37th of 140 rated casinos


Job description

Job Description

Wynn Resorts seeks to create a system of data, analysis and actions to better attract guests and scale the highly personalized services and experiences that top guests know Wynn Resorts for, thereby driving greater loyalty and frequency while also selling more services through ever-increasing levels of personalization. The Data Engineer will create and manage solutions which turn data into knowledge.

Roles & Responsibilities for the Senior Data Engineer

  • Participate in Architecture Development and Solution Design: Engage in sessions to develop and design data architecture solutions that align with business needs.
  • Driving Data Quality Processes: Implement data profiling, data cleansing, and other processes to ensure high data quality.
  • Guide and Mentor: Provide guidance and mentorship to other data engineers within the team.
  • Design and Implement Data Ingestion Patterns: Define, design, and implement various data ingestion patterns using modern technologies such as Databricks, Airflow, Kafka and Snowflake
  • Lead Data Modeling Workstream: Develop data models that meet business requirements using tools like Erwin.
  • Participate in Data Governance Initiatives: Contribute to data governance efforts to ensure compliance and data integrity.
  • Ensure Data Integrity and Quality: Maintain data integrity and quality throughout the data flow and develop solutions to uphold these standards.
  • Document Data Flows and Design Specifications: Create comprehensive documentation for data flows and design specifications.
  • Evaluate Data Tools: Assess and recommend the best-fit data ingestion, integration, and replication tools for cloud-based data analytics use cases.
  • Implement Real-Time Data Transfers: Ensure that data is available to the business in real-time, at the right time and place.
  • Maintain and Support Data Ingestion Tools: Oversee the maintenance and support of data ingestion tools and solutions.
  • Leverage Advanced Technologies: Utilize advanced technologies such as Large Language Models (LLMs), Predictive Machine Learning (ML), Robotic Process Automation (RPA), and AI Agents to enhance data processes and analytics 
Qualifications

The ideal candidate will possess the following skills, experiences and qualifications

  • Holds a BSc / BA in computer science, engineering or similar disciplines
  • Proven experience in designing cloud-based data architecture
  • Able to design end-to-end solutions for data ingestion and data management
  • Proven experience as a data engineer in a cloud-based data analytics project; at least 3 similar project experience
  • Strong knowledge of Snowflake, Databricks, Airflow, Kafka & Azure Data Platform
  • Hands-on experience in cloud-based data ingestion tools
  • Understanding & the ability to evaluate new age & best fit tools that may be new in the market
  • Expertise in cloud-based data ingestion (Microsoft Azure)
  • Strong knowledge & experience in cloud-based data warehousing & analytics
  • Strong understanding of data models; hands-on experience in developing large scale complex data models that are fit for cloud data warehouses using Erwin
  • Familiarity with BI and analytics
  • Expert level experience with programming languages like SQL, Python, Spark etc.
  • Proven abilities to take initiative and be innovative
  • Analytical mind with a problem-solving aptitude
  • Experience in the casino resorts industry
  • This position is required to be in-office at our Las Vegas, Nevada property

The ideal candidate will possess the following performance and personal characteristics

  • A passion for demonstrating the art of the possible in terms of how data and technology enable world-class customer experiences and drive customer loyalty
  • Track record of success influencing without direct authority and balancing between competing priorities while remaining flexible and creative
  • Strong ability to build and strengthen team engagement and align resources to strategy, key tactics and measures; proven ability to establish clear aligned goals and objectives with a timely feedback loop
  • Outstanding written and verbal communication skills with the ability to work up, down and across organizational levels. The ideal candidate will have a direct, but tactful communication style
  • Strong business acumen and problem-solving skills, along with the ability to assess current practices, identify opportunities for improvement, build consensus and drive the implementation of related changes
Additional Information

Wynn Resorts is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. Wynn Resorts does not discriminate on the basis of disability, veteran status or any other basis protected under federal, state or local laws confidential according to EEO guidelines.


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