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Data Integrity Engineer Jobs in Florida (NOW HIRING)

BlueSprig

Senior Data Engineer

Orlando, FL

$99K - $134K/yr

The Senior Data Engineer owns the design, implementation, and maintenance of our data architecture ... Implement validation, monitoring, and quality checks to ensure data integrity across clinical and ...

Raytheon

Design Integrity Checker

Orlando, FL

We bring the strength of more than 100 years of experience and renowned engineering expertise to ... HWDI is part of the Product Integrity center, alongside Configuration and Data Management (CMDM)

Raytheon

Design Integrity Checker

Miami, FL

We bring the strength of more than 100 years of experience and renowned engineering expertise to ... HWDI is part of the Product Integrity center, alongside Configuration and Data Management (CMDM)

Appodeal

Financial Data Analyst

Parkland, FL · On-site

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 ...

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 ...

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.

Guru Schools

Data Architect

Tallahassee, FL · On-site

$60.50 - $78/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 ...

Guru Schools

Data Architect

Tallahassee, FL · On-site

$60.50 - $78/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 ...

BrightStar Credit Union

Jr. Data Analyst

Hollywood, FL · On-site

$62K - $75K/yr

Experience with programming languages such as Python or R for data analysis. * Familiarity with ... integrity and extracting meaningful information. Data visualization skills enable the creation of ...

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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 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
Senior Data Engineer

Senior Data Engineer

BlueSprig

Orlando, FL

$99K - $134K/yr

Other

Posted 26 days ago

BlueSprig rating

5.6

Company rating: 5.6 out of 10

Based on 61 frontline employees who took The Breakroom Quiz

784th of 872 rated healthcare providers

Job description

 

The Senior Data Engineer owns the design, implementation, and maintenance of our data architecture supporting clinical operations across 160+ ABA therapy clinics. This role builds the data foundation that powers clinical quality measurement, operational analytics, payor reporting, and value-based care delivery-infrastructure that directly impacts patient outcomes and business decisions. 

This position will design and implement ETL pipelines moving data from source systems (EMR, scheduling, billing, finance) into a data warehouse, create dimensional models for analytics, and build tools with team members to make data accessible to clinical and business stakeholders. This is hands-on deep technical work. The Senior Data Engineer will be fluent in Python, able to optimize SQL queries, implement data quality guardrails, and collaborate directly with clinical operations, finance, and IT leadership to understand requirements and deliver solutions. 

Success in this role means delivering reliable, well-documented data infrastructure that non-technical stakeholders can trust and use to make better decisions about patient care and operations. 

Responsibilities

Job Duties and Responsibilities include the following.  Other duties may be assigned.  

  • Build ETL Pipelines: Design, implement, and maintain robust data pipelines moving data from source systems (EMR, scheduling, billing) into our data warehouse. 
  • Data Architecture: Own the design and evolution of our data warehouse structure.  
  • Data Modeling: Create and maintain dimensional models, fact tables, and aggregated views for analytics and reporting. 
  • Data Quality: Implement validation, monitoring, and quality checks to ensure data integrity across clinical and operational datasets. 
  • Tooling and Automation: Build internal tools and automations to improve data accessibility for non-technical stakeholders. 
  • Documentation: Maintain clear technical documentation for data models, pipelines, and processes. 
  • Collaboration: Work directly with clinical operations, finance, and business stakeholders to understand requirements and deliver solutions. Participate in product design discussions, providing input on usability, workflows, and automation opportunities. 
Qualifications

Education/Experience: Bachelor's degree from four-year college or university; or one to two years related experience and/or training; or equivalent combination of education and experience.

Skills:

  • 5+ years of hands-on data engineering experience 
  • Python expertise: Strong proficiency in Python for data processing, ETL, and automation 
  • SQL & PostgreSQL: Deep knowledge of SQL and PostgreSQL administration, optimization, and data modeling 
  • Data Modeling: Proven experience designing dimensional models, star schemas, and data warehouses 
  • Data Quality: Experience implementing data validation, testing, and quality frameworks 
  • Version Control: Proficient with Git and collaborative development workflows. 
  • ETL Tools: Experience with modern data pipeline frameworks (Airflow, dbt, Dagster, or similar). 
  • Healthcare Data: Understanding of healthcare data challenges (PHI/PII handling, HIPAA, compliance, clinical data structure
 

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Employment Type: OTHER

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