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Data Integrity Engineer Jobs in Davis, CA (NOW HIRING)

Data Strategy-Manager

Sacramento, CA · On-site

$99K - $232K/yr

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 ...

NGA AI Engineer Manager

Sacramento, CA · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... You are expected to lead with integrity and authenticity, articulating our purpose and values in a ...

Data Governance- Manager

Sacramento, CA · On-site

$99K - $232K/yr

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 ...

Vice President, Wastewater Engineer

Sacramento, CA · On-site

$196K - $252K/yr

Coordinate, review and approve of infrastructure design plans, ensuring data integrity and work is ... Ensure that engineering discipline certifications, accreditations, and value proposition is ...

Technical Recruiter

Sacramento, CA · On-site

$40 - $45/hr

Ensure timely reporting, data integrity, and compliance with internal processes. Qualifications * 2-4 years of experience in university or technical recruiting, ideally within engineering, software ...

Showing results 21-40

Data Integrity Engineer information

See Davis, CA salary details

$48.1K

$140.2K

$191.9K

How much do data integrity engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data integrity engineer in Davis, CA is $140,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,800.00 and $148,600.00 per year, depending on experience, location, and employer.

What is a data integrity engineer?

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 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 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 job categories do people searching Data Integrity Engineer jobs in Davis, CA look for?

The top searched job categories for Data Integrity Engineer jobs in Davis, CA are:

What cities near Davis, CA are hiring for Data Integrity Engineer jobs?

Cities near Davis, CA with the most Data Integrity Engineer job openings:

Infographic showing various Data Integrity Engineer job openings in Davis, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $140,207 per year, or $67.4 per hour.

$67.75 - $87/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Data Architect
West Sacramento, CA
36+ months
Consultant will provide technical expertise assisting Client with implementation of a BI and DW solution working in coordination with a future BI and DW Implementation vendor while also working alongside Client staff to provide knowledge transfer.
Required Skills:
At least seven (7) years of working experience in the Information Technology or Information System (IT/IS) fields with extensive experience in the positions of enterprise data architect, data scientist, database architect/developer/administrator, database lead, or database designer/modeler, report designer, etc.
At least five (5) years of experience incorporating an industry's open and non-proprietary Software Development Life Cycle (SDLC) methodology to lead and/or create data architectures, conceptual/ logical/physical data models for software development projects, while collaborating closely with an organization's enterprise database unit and following all applicable enterprise IT standards, policies, processes, procedures, and best practices, etc.
At least five (5) years of experience participating in data testing, developing data strategies and associated polices and best practices to promote data security, integrity, quality, governance and consistency.
At least five (5) years of experience, as a Data Architect, with large organizations leading or participating in the technical implementation of BI and DW solutions for a wide variety of complex business processes and data including analytic platforms such as Power BI, Tableau, Amazon QuickSight and Azure Analysis Services.
At least five (5) years of experience designing and implementing highly available and fault tolerant databases including complex multi-node clustering and disaster recovery.
At least five (5) years of experience architecting and reviewing Extract Transform and Load (ETL) and/or Change Data Capture (CDC) processes using tools such as SQL Server Integration Services (SSIS), Amazon AWS Glue, and Azure Data Factory in an Enterprise environment.
Desired Skills:
Experience providing enterprise level data architecture and/or data modeling services at a public sector entity such as local, State or Federal agency.
Experience as a Data Architect leading or participating in the technical implementation of pension / retirement, or financial related software development projects.
Experience working with Data Tools, Business Intelligence Studio, and SQL Server Management Studio.
Experience in optimizing and reviewing Microsoft Structured Query Language (MSSQL) database processes including performance tuning of SQL query, trigger, stored procedures & DB engine.
Ability to effectively communicate and document designs, processes and work as well as develop, document and institute best practices.
Strong knowledge of Online Transaction Processing (OLTP) environments, design, modeling, performance considerations and SQL internals.
Experience with Agile delivery in enterprise-wide initiatives. Scaled Agile Framework (SAFe) certificate or equivalent enterprise agile certificate a plus. (Please provide certification copy)
Bachelor's degree in Computer Science, Computer Engineering, or related fields from an accredited or government sanctioned college/university. (Please provide copy of degree).
Experience with utilizing Extensive Markup Language (XML), JavaScript Object Notation (JSON), and Window Functions within SQL as well as experience with database technologies such as SQL, NoSQL, and Hadoop.
Experience with encryption and security (in flight, at rest, and column level).
Experience with source code management solutions such as Team Foundation Server (TFS) and Visual Source Control.
Experience using Simple Object Access Protocol (SOAP), Representational State Transfer (REST), and GraphQL web services.
Ability to understand metamodels, taxonomies and ontologies as well as the challenges of applying structed techniques to less-structed data sources.
Hold professional certifications relevant to the services and specializations. For example, Certified Data Management Professional (CDMP), Azure Data Engineer, Azure Database Administrator, Azure Data Scientist, Azure Solutions Architect, Azure DevOps Engineer, AWS Solutions Architect, AWS DevOps Engineer, AWS Data Analytics Specialty, and AWS Database Specialty. Client may request a copy of the certifications.
Rajeev
West Advanced Technologies, Inc
E: rajeev.g2@wati.com
C:2796665837 | T: 5072292946
Serving government agencies for 18 Years
www.wati.com