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Data Integrity Engineer Jobs in Nevada (NOW HIRING)

Deloitte

AI Data Engineer - Manager

Las Vegas, NV · On-site

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 ...

Awg

Data Interrogation Team Member-3

Henderson, NV

$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 ...

Awg

Data Interrogation Team Member-1

Henderson, NV

$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 ...

Lancesoft

Fleet Support Engineer

Las Vegas, NV · On-site

$70 - $76/hr

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 ...

Link Technologies

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 ...

Pwc

Data Engineer - Manager

Las Vegas, NV

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 ...

2K Vegas

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 ...

2K Vegas

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 ...

Pwc

Data Engineer - Manager

Las Vegas, NV · On-site

$99K - $232K/yr

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 ...

TensorWave

Staff Database Engineer

Las Vegas, NV · On-site

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

TensorWave

Staff Database Engineer

Las Vegas, NV · On-site +1

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

Infojini Inc

Data Warehouse Programmer

Las Vegas, NV

... 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 ...

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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:
Data Integrity Engineer jobs near you
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.

ELK Engineer at Las Vegas, NV

Volto USA

Las Vegas, NV • On-site

Contractor

Posted 7 days ago

Job description

Role: - ELK Engineer

Location: ONSITE- Las Vegas, NV day one NO EXCEPTIONS

Duration: 6 months

Descriptions:

ELK Developer experience: ELK Developer designs, implements, and manages the Elasticsearch, Logstash, and Kibana (ELK) stack to build data pipelines for log analysis, data ingestion, and real-time visualization dashboards. Key responsibilities include configuring Logstash for data processing, optimizing Elasticsearch for data storage and retrieval, developing Kibana dashboards for insights, and ensuring the system's performance, security, and high availability.

Essential Job Functions:

Design and Development - Create and maintain scalable ELK stack solutions for log ingestion, processing, and analysis.

Log Management - Configure and manage Logstash to parse and enrich log data from various sources.

Data Ingestion - Work with components like Filebeat, Metricbeat, and Winlogbeat for data collection.

Kibana Dashboards - Build and manage interactive Kibana dashboards for real-time monitoring and analytics.

Performance Tuning - Monitor and optimize the performance, scalability, and resilience of the ELK stack.

Troubleshooting - Resolve complex issues related to data indexing, querying, and visualization within the ELK environment.

Data Integrity & Security - Ensure data integrity and implement security measures for the ELK infrastructure.

Infrastructure as Code - Deploy and manage Elastic clusters using tools like Ansible.

Integration - Integrate the ELK stack with other systems and data sources through APIs and web services.

Documentation - Maintain detailed documentation for configurations, deployments, and operations.

Position Requirements:

Bachelor’s degree in technology, engineering, or related field.

6-8 years of ELK Developer experience: designing, implementing, and managing the Elasticsearch, Logstash, and Kibana (ELK) stack to build data pipelines for log analysis, data ingestion, and real-time visualization dashboards ELK Stack Proficiency: Strong understanding of Elasticsearch, Logstash, and Kibana.

Programming Languages: Experience with languages like Go or Java for developing custom plugins or integrations.

Data Management: Experience with data pipelines, data ingestion, and index lifecycle management.

Monitoring & Visualization: Knowledge of monitoring tools and techniques, including developing advanced Kibana dashboards.

Scripting: Proficiency in shell scripting and Unix/Linux administration.

Good understanding of DevOps processes and CI/CD tools.

Ability to work through ambiguous and open-ended business requirements and priorities and translate the same into a clear roadmap and definition of success.

Excellent communication, problem-solving, and project management skills Ability to collaborate effectively and follow up to ensure achievement of deadlines, outcomes, and results.

Demonstrate company core values of excellence, ownership, collaboration, and integrity.

Strong communication and interpersonal skills in a global organization Strong collaborative approach to problem solving.

SKILLS: Digital : DevOps Continuous Integration and Continuous Delivery (CI/CD), Digital : ELK Stack, Digital : Elastic Search