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Data Integrity Engineer Jobs in Nevada (NOW HIRING)

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

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

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 ...

... 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 ...

The Senior Data Engineer is responsible for designing, building, and managing the data platform and ... and integrity. * Provide technical leadership and mentorship to team members. Leads peer ...

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 ... and integrity. * Provide technical leadership and mentorship to team members. Leads peer ...

Fleet Support Engineer

Las Vegas, NV · On-site

$67.55 - $75.06/hr

... data integrity. * Conduct historical review of vehicle and fleet data, including sensor data, to ... Collaborate closely with engineering design teams to enhance tooling and improve issue detection ...

Fleet Support Engineer [210636]

Las Vegas, NV · On-site

$67.55 - $75.06/hr

... data integrity. * Conduct historical review of vehicle and fleet data, including sensor data, to ... Collaborate closely with engineering design teams to enhance tooling and improve issue detection ...

Role Description The Monarch ERP Engineer will be responsible for the configuration, customization ... Work closely with IT Security to maintain data integrity and align system configurations with SOC 2 ...

New

You are expected to lead with integrity and authenticity, articulating our purpose and values in a ... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ...

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Showing results 1-20

Data Integrity Engineer information

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), and data integrity constraints (rules enforcing data validity). Ensuring these types are maintained often involves using database management tools, validation processes, and security measures.

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 $300,000 a year?

Senior engineers in specialized fields such as data engineering, software engineering, or machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and certifications.

What engineers make $500,000?

Senior data integrity engineers, especially those with extensive experience, advanced certifications, and expertise in database management, data governance, and security, can earn salaries approaching or exceeding $500,000 annually in high-paying industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in technology or finance sectors.

Can I make 200k as a data engineer?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

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:

Staff Database Engineer

TensorWave

Las Vegas, NV • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Job description

About TensorWave

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

 

About the Role

We’re looking for a Staff Database Engineer to join our team during an exciting phase of growth. In this role, you’ll be responsible for database architecture, database reliability, infrastructure-adjacent database platforms, performance engineering, observability, automation, operational maturity, incident response, and engineering leadership, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.

 

What You’ll Do

Database Architecture & Platform Ownership
  • Design and own database architecture for critical infrastructure and platform services, including PostgreSQL-backed internal platforms, Slurm accounting and operational databases, NetBox and infrastructure source-of-truth databases, custom internal applications and automation services, observability, inventory, and platform metadata systems, future database-backed control plane services.

  • Define standard database patterns for high availability, replication, failover, backup and restore, point-in-time recovery, performance baselining, capacity planning, upgrade lifecycle management, access control and operational security.

  • Establish database design standards for new internal platforms, including schema review, indexing strategy, query design, service ownership boundaries, and production readiness requirements.

PostgreSQL, MySQL, and Database Reliability
  • Operate and improve production database environments across PostgreSQL, MySQL, Percona, and adjacent systems.

  • Own the lifecycle of database systems, including provisioning, configuration, version upgrades, replication topology design, performance tuning, backup validation, disaster recovery testing, decommissioning, documentation and runbook creation

  • Troubleshoot and resolve production database issues involving query latency, lock contention, replication lag, storage I/O bottlenecks, connection exhaustion, poor indexing, schema design problems, database capacity constraints, backup or restore failures

  • Drive root cause analysis for database-related incidents and convert findings into durable engineering improvements.

Slurm, NetBox, and Infrastructure Data Systems
  • Serve as the senior database engineering owner for infrastructure-adjacent database platforms, including Slurm and NetBox.

  • For Slurm environments, support and improve database architecture related to SlurmDBD, accounting data, job history, reporting queries, performance and retention strategy, database scaling, backup and recovery, long-term operational reliability

  • For NetBox and source-of-truth systems, support PostgreSQL performance, database lifecycle planning, backup and restore validation, data integrity, schema-impact review, integration patterns with automation systems

  • Partner with DevOps, Infrastructure, MLOps, and Platform Engineering teams to ensure database-backed systems are designed to scale as the environment grows.

Performance Engineering & Observability
  • Build deep database observability beyond basic dashboards.

  • Develop and maintain visibility into query performance, execution plans, index usage, replication health, locking behavior, buffer/cache efficiency, storage latency, connection pool behavior, OS-level database bottlenecks

  • Use tools such as PostgreSQL native statistics, MySQL/Percona tooling, Prometheus, Grafana, PMM, Query logs, slow query logs, eBPF/BCC or equivalent low-level profiling tools, Linux performance tooling

  • Create performance baselines and alerting standards for critical database platforms.

  • Identify recurring database failure patterns and build preventive monitoring, automation, and operational guardrails.

Automation, Standards, and Operational Maturity
  • Create database automation patterns that can be integrated with existing infrastructure tooling.

  • Partner with DevOps and Infrastructure Engineering to automate database provisioning, configuration standards, backup verification, health checks, replication checks, user and permission management, upgrade workflows, monitoring deployment, runbook-driven recovery procedures

  • Contribute database-specific modules, roles, or workflows to Ansible, CI/CD pipelines, or internal automation platforms where appropriate.

  • Define production database readiness standards for new services before they are promoted into critical environments.

Incident Response & Engineering Leadership
  • Act as the technical lead for major database incidents.

  • Own or support triage, root cause analysis, cross-team coordination, customer or stakeholder impact analysis, postmortems, corrective action plans, long-term remediation

  • Mentor L4 and L5 engineers on database operations, SQL troubleshooting, HA design, incident response, and performance analysis.

  • Provide senior technical review for database-impacting changes across infrastructure and platform teams.

 

Who You Are

Required Qualifications
  • 8+ years of production database engineering, database administration, or database architecture experience

  • Strong hands-on experience with PostgreSQL in production environments

  • Strong hands-on experience with MySQL, Percona, or equivalent relational database platforms

  • Experience designing and operating highly available database systems

  • Experience with replication, failover, backup, restore, and disaster recovery validation

  • Deep SQL performance tuning experience, including execution plan analysis, index design, query rewrite, schema optimization, lock contention troubleshooting, storage and I/O analysis

  • Strong Linux systems knowledge

  • Experience supporting production incidents and performing root cause analysis

  • Experience building or improving database monitoring and observability

  • Ability to work across infrastructure, DevOps, platform, and application engineering teams

  • Ability to define standards, influence architecture, and mentor other engineers without requiring direct management authority

Preferred Qualifications
  • Experience with SlurmDBD, Slurm accounting databases, or HPC/AI infrastructure database workloads

  • Experience with NetBox or other infrastructure source-of-truth platforms

  • Experience with Percona XtraDB Cluster, ProxySQL, or advanced MySQL/Percona architectures

  • Experience with PostgreSQL HA tooling and replication architectures

  • Experience with Prometheus, Grafana, PMM, Splunk, or similar observability platforms

  • Experience with eBPF/BCC, perf, strace, or other low-level Linux diagnostic tooling

  • Experience supporting databases for SaaS, cloud, HPC, AI infrastructure, or large multi-tenant platforms

  • Experience with MongoDB, Oracle, SQL Server, or other secondary database platforms

  • Experience with database automation using Ansible, Terraform, CI/CD systems, or internal tooling

  • Experience with zero-downtime migrations, major version upgrades, and production database consolidation

 

What We Offer

  • Stock Options

  • 100% paid Medical, Dental, and Vision insurance for Employees

  • Company Health Savings Account Contributions

  • 100% paid Short Term and Long Term Disability Insurance for Employees

  • Life and Voluntary Supplemental Insurance Options

  • Other Insurance Options, such as Pet & Legal Insurance

  • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support

  • Flexible Spending Account

  • 401(k)

  • Employee Assistance Program

  • Flexible PTO

  • Paid Holidays

  • Parental Leave

  • Other In-Office Perks

 

Equal Employment Opportunity

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

 

Reasonable Accommodations

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.

 

Employment Eligibility

All offers of employment are contingent upon verification of identity and authorization to work in United States, as required by law.

 

Background Checks

Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

 

Data Privacy Notice

By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.