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Data Integrity Engineer Jobs in Florida (NOW HIRING)

Rightway

Data Engineer III

Miami, FL · On-site

$150K/yr

We are seeking a full-time Data Engineer III to join our team and define and deploy mission ... Design optimized database schemas in PostgreSQL and Amazon Redshift to ensure data integrity and ...

Margaritaville at Sea

Data Analyst

Orlando, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineering Lead, and various business teams to improve how data is accessed, maintained, and leveraged. This position plays a critical role in promoting data integrity, driving adoption of ...

Margaritaville at Sea

Data Analyst

Orlando, FL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineering Lead, and various business teams to improve how data is accessed, maintained, and leveraged. This position plays a critical role in promoting data integrity, driving adoption of ...

Ci

Senior Data Engineer

Miami, FL

$101K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

FIS

AAI Data Engineer - Enterprise Platform

Jacksonville, FL · On-site

$106K - $127K/yr

Optimize OLAP/BI workflows for performance and cost-efficiency while maintaining data integrity ... Engineering, or related field and three (3) years of experience in the job offered or a related ...

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Data Integrity Engineer information

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 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 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

Full-Stack Data Engineer

Ascension Federal Services Inc.

Miami, FL • On-site

Full-time

Re-posted 6 days ago

Job description

Full-Stack Data Engineer

Location: Miami, FL, 33101

CLEARANCE: TS/SCI
About the Role

We are seeking a highly skilled Full-Stack Data Engineer to join our dynamic team in Miami, FL. The ideal candidate will have a strong background in both backend and frontend data engineering, capable of designing, building, and maintaining scalable data pipelines and user-facing data applications. You will work closely with data scientists, analysts, and product teams to deliver robust data solutions that drive business insights and innovation.

Key Responsibilities
  • Design, develop, and maintain end-to-end data pipelines and ETL processes.
  • Build and optimize scalable data architectures and databases.
  • Develop interactive data visualization tools and dashboards to support data-driven decision making.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions.
  • Implement data quality checks, monitoring, and troubleshooting to ensure data integrity.
  • Work with cloud platforms and big data technologies to manage large datasets efficiently.
  • Write clean, maintainable, and well-documented code following best practices.
Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
  • 3+ years of experience in data engineering or full-stack development with a focus on data.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Experience with frontend technologies like React, Angular, or Vue.js for building data applications.
  • Strong knowledge of SQL and NoSQL databases.
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop, Kafka).
  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Strong communication skills and ability to collaborate effectively with diverse teams.
How to Apply

If you are passionate about data engineering and want to make an impact in a growing company, please submit your resume and cover letter to our HR team.

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