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Data Integrity Engineer Jobs in Tennessee (NOW HIRING)

$99K - $119K/yr

As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and ... data integrity and consistency. • Partner with stakeholders to translate data into actionable ...

GCP Data Architect

Nashville, TN · On-site

$61.50 - $79.25/hr

... data integrity, and enabling advanced analytics through GCP services like BigQuery and Cloud ... Programming: Advanced SQL and Python for analytics and pipeline development. * Performance ...

The Automation Engineer develops, maintains, and improves software tools, data systems, dashboards ... Support systems used for nuclear material tracking, ensuring data integrity, traceability, access ...

... integrity, trust, and usability within a defined data domain. This role bridges technical and ... Collaborate with Data Governance and Engineering teams to validate and QA data quality rules and ...

... integrity, trust, and usability within a defined data domain. This role bridges technical and ... Collaborate with Data Governance and Engineering teams to validate and QA data quality rules and ...

... integrity, trust, and usability within a defined data domain. This role bridges technical and ... Collaborate with Data Governance and Engineering teams to validate and QA data quality rules and ...

... integrity, trust, and usability within a defined data domain. This role bridges technical and ... Collaborate with Data Governance and Engineering teams to validate and QA data quality rules 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 ...

Responsible for data analysis, data management for the Engineering Decision Support department ... SQL expert and general understanding of databases, relationships and data integrity concept Build ...

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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 Tennessee? For Data Integrity Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Integrity Engineer jobs in Tennessee look for? The top searched job categories for Data Integrity Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Data Integrity Engineer jobs? Cities in Tennessee with the most Data Integrity Engineer job openings:
Infographic showing various Data Integrity Engineer job openings in Tennessee as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Hybrid job distribution.

Manager, Call Center Business Intelligence & Data Integrity

VIRTUAL CLARITY LIMITED

Nashville, TN

Full-time

Posted 10 days ago


Job description

Job Description:

DXC Technology is a leading enterprise technology and innovation partner delivering software, services, and solutions to global enterprises and public sector organizations - helping them harness AI to drive outcomes at a time of exponential change with speed. With deep expertise in Managed Infrastructure Services, Application Modernization, and Industry-Specific Software Solutions, DXC modernizes, secures, and operates some of the world's most complex technology estates.

DXC's Insurance Software and BPS (ISB) helps insurers around the world modernize and run their core operations at scale by combining deep industry expertise, proven software platforms, and innovative AI-driven solutions. A global market leader in core insurance platforms, ISB delivers solutions across policy administration, claims, billing, analytics, and digital engagement supporting Life & Annuity, Property & Casualty, and Specialty insurance markets. You'll directly shape how the world's leading insurers operate by helping to transform the policy, underwriting, and claims systems that millions of people rely on every day.

The Manager of Data Integrity & Business Intelligence is a leader responsible for driving departmentwide reporting, analytics, data governance, and operational performance. This role ensures the accuracy, reliability, and strategic use of data while directly leading a team of Operations Managers and/or Business Managers. The position partners closely with Operations, Finance, IT, and Executive Leadership to enable datadriven decisionmaking, operational excellence, and scalable performance across the BPS/BPO environment.

Key Responsibilities

Operations Management & People Leadership

  • Provide direct leadership to a team of Call Center Managers and/or Business Managers, ensuring alignment to operational goals, performance standards, and enterprise priorities.

  • Set clear expectations and accountability for service delivery, KPI performance, data integrity, and reporting discipline across operations teams.

  • Drive operational excellence through standardized performance management, datadriven insights, and continuous improvement initiatives.

  • Partner with Operations Leadership to translate business objectives into measurable KPIs, dashboards, and management routines.

  • Coach and develop managers to effectively leverage BI insights to improve productivity, quality, financial performance, and client outcomes.

  • Foster a culture of accountability, data ownership, innovation, and operational rigor across teams.

  • Support workforce planning, capacity management, and performance optimization through accurate and reliable reporting.

Project Management & Delivery

  • Lead endtoend BI, reporting, and data governance initiatives, including scope definition, timelines, budget, risk mitigation, and resource planning.

  • Manage multiple concurrent initiatives using Agile, Waterfall, or hybrid delivery methodologies.

  • Facilitate project governance forums, executive steering committee updates, and crossfunctional stakeholder communications.

  • Develop and execute roadmaps for reporting modernization, automation, and data quality initiatives.

  • Identify and mitigate risks related to data accuracy, system integrations, dependencies, and operational impact.

  • Ensure timely delivery of dashboards, reports, and reporting process improvements.

  • Drive structured change management and adoption of reporting tools and governance standards across operations.

Power BI Development & Analytics

  • Design, build, and maintain enterpriselevel Power BI dashboards, scorecards, and automated reporting solutions.

  • Develop advanced data models using DAX, Power Query, SQL, and industry bestpractice schema designs.

  • Deliver executive and operational dashboards with drillthrough functionality, trend analysis, and actionable insights.

  • Optimize performance, refresh reliability, usability, and scalability of BI solutions.

  • Establish KPI frameworks aligned to operational, financial, and strategic business objectives.

  • Integrate data from SQL databases, Excel, CRM, ERP, workforce management systems, APIs, and cloud platforms.

  • Investigate and resolve reporting discrepancies, data anomalies, and performance issues.

  • Build, own and maintain Power BI Dashboards department wide within the Call Center delivery team, Training, WFM, and Call Center QA.

Data Integrity, Governance & Quality Assurance

  • Establish, enforce, and mature department data integrity and governance standards.

  • Lead reconciliation, rootcause analysis, and audit activities to ensure reporting accuracy and trust.

  • Define standardized KPI definitions, metrics, dimensions, and sourceoftruth logic.

  • Partner with IT, Operations, Finance, and Data Engineering teams to resolve data quality issues at the source.

  • Maintain data lineage documentation, validation workflows, refresh controls, and exception reporting.

  • Implement controls for duplicate prevention, missing data detection, transformation validation, and monitoring.

  • Conduct periodic audits to ensure compliance with governance policies and reporting standards.

  • Ensure reporting outputs meet executivelevel expectations for accuracy, timeliness, and completeness.

Stakeholder & Business Partnership

  • Translate complex business and operational requirements into scalable BI and governance solutions.

  • Serve as a trusted advisor and liaison between Operations Leadership, IT, Finance, and Executive stakeholders.

  • Present insights, risks, trends, and recommendations to senior leadership.

  • Train managers and leaders on dashboard interpretation, KPI logic, and data ownership expectations as needed.

  • Champion enterprise data literacy and selfservice analytics adoption.

Required Qualifications

  • Bachelor's degree in Business, Information Systems, Data Analytics, Project Management, or related field.

  • 5+ years of project management experience.

  • 5+ years of advanced Power BI development and enterprise reporting experience.

  • Demonstrated experience leading managers and operational teams.

  • Deep expertise in data integrity, validation, and reporting governance.

  • Advanced proficiency in Power BI Desktop & Service, DAX, Power Query, SQL, ETL/ELT concepts, and data modeling.

  • Strong understanding of governance frameworks, audit controls, and operational analytics.

  • Proven ability to lead crossfunctional, enterpriselevel reporting transformations.

Preferred Qualifications

  • PMP, Scrum Master, Agile, or Data Governance certification.

  • Experience supporting call center, workforce management, finance, or operational analytics environments.

  • Knowledge of Azure, Snowflake, SQL Server, Databricks, or modern cloud data platforms.

  • Experience with data quality automation and monitoring tools.

  • Familiarity with Power Automate and workflow orchestration.

  • Experience supporting regulated or auditdriven environments.

Key Competencies

  • Operational leadership & people management

  • Strategic project execution

  • Power BI architecture & analytics

  • Data integrity & governance stewardship

  • KPI standardization & performance management

  • Executive communication

  • Audit readiness

  • Continuous improvement

  • Crossfunctional influence

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive.

If you are an applicant from the United States, Guam, or Puerto Rico

DXC Technology Company (DXC) is anEqual Opportunity employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law. View postings below .

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