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Data Integrity Engineer Jobs in Florida (NOW HIRING)

Ensure Data Solutions, LLC

Be Seen First

ETL Specialist (Healthcare Data Engineer)

Miami, FL · On-site

$50K - $60K/yr

Ensure high data integrity, lineage tracking, and auditability Analytics & Product Enablement ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field ...

Ensure Data Solutions, LLC

Be Seen First

ETL Specialist (Healthcare Data Engineer)

Miami, FL · On-site

$50K - $60K/yr

Ensure high data integrity, lineage tracking, and auditability Analytics & Product Enablement ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field ...

Ci

Senior Data Engineer

Miami, FL

$101K - $137K/yr

Implement engineering best practices across data pipelines, modeling, data quality, lineage ... Implement automated QA analytics, reconciliations, and monitoring to ensure data integrity across ...

Ci

Data Engineering Manager

Miami, FL

Data Engineering team leadership . Lead, mentor, and develop a team of data engineers supporting ... Implement automated QA analytics, reconciliations, and monitoring to ensure data integrity across ...

Appodeal

Financial Data Analyst

Parkland, FL

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 ...

ChenMed, LLC

Senior Data Engineer

Miami, FL · On-site

$99K - $141K/yr

The Senior Data Engineer will play a crucial role in developing, improving, and maintaining our ... Proactively identify and resolve data quality issues, improving data integrity across systems

ChenMed, LLC

Senior Data Engineer

Miami, FL · On-site

$99K - $141K/yr

The Senior Data Engineer will play a crucial role in developing, improving, and maintaining our ... Proactively identify and resolve data quality issues, improving data integrity across systems

AllSTEM Connections

Data Analyst

Orlando, FL · On-site

$120K/yr

Programming & Querying: Develop complex SQL queries and utilize ETL frameworks to extract ... Ensure high levels of data integrity and accuracy in all reporting and analysis outputs.

Elevance Health

Data Warehouse Consultant

Lake Mary, FL · On-site

Establishes and maintains excellent knowledge of data warehouse data structure design, definitions, capabilities, programming languages, and data integrity issues. * Completes metadata assessment and ...

Elevance Health

Data Warehouse Consultant

Lake Mary, FL · On-site

Establishes and maintains excellent knowledge of data warehouse data structure design, definitions, capabilities, programming languages, and data integrity issues. * Completes metadata assessment and ...

Troutman Pepper

Senior Data Engineer

Miami, FL · Remote

$101K - $137K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... integrity, and indexing. * Utilize SSIS, SSRS, and SSMS for ETL, reporting, and analysis of data.

Guru Schools

Data Architect

Tallahassee, FL · On-site

$55.25 - $71/hr

... integrity. Collaboration and Stakeholder Engagement: * Partner with cross-functional teams (e.g., data engineers, analysts, business stakeholders, and security experts) to design and implement ETL ...

AgileEngine

Senior Data Engineer ID75059

Port Charlotte, FL · On-site

$95K - $129K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes ... in data integrity and the accuracy of the end-to-end pipelines and architectures you build ...

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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 Florida? For Data Integrity Engineer jobs in Florida, the most frequently searched job titles are:
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 Integrity Engineer jobs near you
Information Technology_USA - USA_Engineer

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

$106K - $127K/yr

Contractor

Posted 2 days ago

Job description

Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
: MAX
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Shilpa Bajpai
Location: Philadelphia, PA- 100% ONSITE
skill id: 10843812
Role: Data Operations Engineer / DataOps Specialist
Skills: Digital : Python
Experience Required: 8-10 years
Role Descriptions:
1. Data Pipeline & OperationsBuild| manage| and monitor ETL/ELT pipelines for data ingestion and transformation [tealhq.com]| [torchora.com]Ensure smooth data flow across systems| warehouses| and applications [interviewguy.com]Automate workflows and reduce manual data handlin
2. Data Quality & GovernanceImplement data validation| cleansing| and reconciliation processes [tealhq.com]Maintain data integrity| consistency| and accuracy across systems [interviewguy.com]Define and enforce data governance standards and policies [genevausa....ayjobs.com]
3. Monitoring & Issue ResolutionMonitor pipelines and data systems for failures and anomaliesPerform root cause analysis and corrective actionsEnsure SLA adherence for data availability
4. Infrastructure & Performance OptimizationManage data platforms (AWS/Azure/GCP| Data Lakes| Warehouses)Optimize performance| scalability| and cost efficiencySupport CI/CD for data systems (DataOps practices) [datagalaxy.com]
5. Stakeholder & Cross-functional CollaborationWork with business| analytics| and engineering teams to understand data needsTranslate business requirements into data workflowsSupport reporting| BI| and advanced analytics6. Documentation & ComplianceMaintain pipeline documentation| lineage| and metadataEnsure compliance with security and data privacy standardsSupport audits and governance reviews, Project Code :

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