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Data Integrity Engineer Jobs in Florida (NOW HIRING)

Collaborate with stakeholders, analysts, developers, and government personnel to identify data ... Ensure data integrity, security, and compliance with customer and organizational requirements   ...

Data Architect

Miami, FL · On-site

$61 - $78.50/hr

Knowledge of programming languages like Python or R for data manipulation and analysis ... Support data migration, transformation, and ETL processes to maintain data integrity and ...

Data Engineer

Miami, FL

$109K - $131K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Identify, troubleshoot, and resolve data issues including data quality, integrity, latency, and ...

We are seeking a Financial Data Analyst to own the integrity, structure, and usability of financial ... Partner with Data Engineering to: - define financial data requirements, - validate pipelines and ...

Senior Data Analyst

Tampa, FL · On-site

$92K - $166K/yr

The analyst will work closely with stakeholders to ensure data integrity and effective use of ... Work within an Azure DevOps (ADO) environment to manage sprints and project deliverables related to ...

Responsibilities Peraton is looking for a Senior JAVA Developer in Melbourne, FL to support ... data integrity and reliability. * Monitor, troubleshoot, and optimize data workflows and database ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Empowerment, Innovation, Excellence, Integrity and OneCAE make us who we are and we strive to make ... Summary We are seeking an experienced Data Engineer to join our data architecture team and help ...

Data Engineer

Tampa, FL

$108K - $129K/yr

Empowerment, Innovation, Excellence, Integrity and OneCAE make us who we are and we strive to make ... Summary We are seeking an experienced Data Engineer to join our data architecture team and help ...

Data Engineer

Miami, FL

$109K - $131K/yr

Data Engineer We are seeking a Data Engineer to design, build, and maintain scalable data pipelines ... structural integrity to support downstream consumption. * Own database backup, recovery, and ...

You will work cross-functionally with product, engineering, marketing, and business leaders to ... Build frameworks and processes to monitor model performance, drift, and data integrity over time * ...

Data Operations Manager

Jacksonville, FL · On-site +1

$145K - $165K/yr

... Engineering can implement * Research emerging reporting formats and asset class variations ... Serve as the final escalation point for asset data integrity -- when automated logic encounters a ...

SQL Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

SQL DATA ENGINEER HYBRID (JACKSONVILLE, FL) ARC Group has an immediate opportunity for a Senior SQL ... Responsible for including IT Controls to protect the confidentiality, integrity, as well as ...

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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 job categories do people searching Data Integrity Engineer jobs in Florida look for? The top searched job categories for Data Integrity Engineer jobs in Florida are:

Data Scientist

Sellers & Associates

Pensacola, FL • On-site

Full-time

Posted 10 days ago


Job description

Sellers & Associates LLCis seeking a Data Scientist to work in Pensacola, FL (On-site). Please Note: This position is contingent upon contract award.

Location: Pensacola, FL

Travel Allocation: 0-10%

Clearance: Must be Able to Obtain a Clearance


Duties & Responsibilities

  • Analyze structured and unstructured data to support Navy and Department of Defense (DoD) operational, training, and business requirements
  • Develop data models, dashboards, reports, and visualizations to support data-driven decision-making
  • Perform statistical analysis, trend analysis, and predictive modeling using large datasets
  • Support data collection, cleansing, transformation, validation, and management activities
  • Develop and maintain automated reporting solutions and data visualization products using business intelligence tools
  • Collaborate with stakeholders, analysts, developers, and government personnel to identify data requirements and reporting objectives
  • Support the development and implementation of data analytics strategies, methodologies, and best practices
  • Interpret and communicate analytical findings and technical information to technical and non-technical audiences
  • Support integration and analysis of data from multiple systems and databases
  • Assist with identifying operational trends, risks, gaps, and performance improvement opportunities
  • Support continuous process improvement and data modernization initiatives
  • Ensure data integrity, security, and compliance with customer and organizational requirements

Requirements:  

  • Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or related field
  • Minimum of five (5) years of experience supporting data analytics, business intelligence, data science, or statistical analysis activities
  • Experience using data analysis and visualization tools such as Power BI, Tableau, Excel, SQL, Python, R, or related technologies
  • Experience developing dashboards, reports, data visualizations, and analytical products
  • Experience performing data cleansing, transformation, validation, and analysis activities
  • Ability to analyze large datasets and communicate findings clearly and effectively
  • Experience supporting data-driven decision-making and operational analysis initiatives
  • Strong analytical, organizational, and problem-solving skills
  • Strong written and verbal communication skills
  • Ability to work independently and collaboratively in a deadline-driven environment
  • U.S. Citizenship required
  • Must be able to obtain a security clearance

Preferred: 

  • Experience supporting Department of Defense (DoD) or Navy programs
  • Experience supporting training, readiness, manpower, personnel, or operational analytics initiatives
  • Experience working with enterprise data systems, relational databases, or cloud-based analytics environments
  • Experience supporting predictive analytics, machine learning, or artificial intelligence initiatives
  • Experience developing executive-level dashboards and performance metrics
  • Familiarity with Navy training systems, CETARS, FLTMPS, or related Navy data environments preferred
  • Experience supporting process improvement or data modernization initiatives

Sellers & Associates LLC (S&A) is a Veteran Owned Small Business (VOSB) that provides effective and affordable Programmatic and Engineering Support Services and Solutions for our Government and Commercial Clients. We work directly with our clients taking the time to understand their culture and requirements, designing a custom solution tailored to meet their unique needs at an affordable price without sacrificing quality. Our specialties include Program/Engineering Management, Training/Training Technology, Technology/Product Development Strategy and Analysis, Project Management (Cost, Schedule, Scope & Quality), and Strategic Planning applied within our clients' unique domains and context.

Sellers and Associates, LLC is an E-Verify company and an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability.