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Data Quality Developer Jobs in Florida (NOW HIRING)

RIT Solutions, Inc.

Lead QA Engineer (Automated)

Orlando, FL · On-site

$120K/yr

RIT Solutions, Inc. is seeking a Senior QA Engineer to join their growing team of data management and analytics professionals. In this role, you will lead and execute comprehensive testing strategies ...

Margaritaville at Sea

Data Analyst

Orlando, FL · On-site

Partner with engineering and product teams to resolve data issues and enforce standards, collaborating cross‑functionally to address data quality concerns, implement governance policies, and ...

Intellisoft Technologies

Azure Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

... quality data solutions that enable data-driven decision-making. Responsibilities : • Design ... Required : • Hands-on experience with data engineering tools and technologies including Python ...

Unchain Data

Data Scientist

Miami, FL · On-site

... quality rules, and measurable acceptance criteria. * Partner with Data Operations and Software Engineering to improve ingestion, transformation, integration, monitoring, governance, and lifecycle ...

Qode

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an ... Ensure data quality, reliability, and security across data platforms * Monitor and troubleshoot ...

Fintech

Data Engineering Intern

Tampa, FL

Data quality basics and documentation * Introduction to Azure Data Lake and Databricks * Basic data visualization with Apache Superset * Understanding of financial data and transaction processing ...

Margaritaville at Sea

Data Analyst

Orlando, FL

Partner with engineering and product teams to resolve data issues and enforce standards: Collaborates cross-functionally to address data quality concerns, implement governance policies, and support ...

Vaco LLC

Data Engineer/Data Architect

Hollywood, FL · On-site

Senior Data Engineer / Data Architect Location: Fort Lauderdale, FL Work Arrangement: Fully onsite ... Data Quality and Reliability Implement automated checks for completeness, accuracy, freshness ...

Accenture Federal Services

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Data Quality & Governance to perform routine data validation, profiling, and quality checks. * Collaborate with senior engineers to implement data governance and security best practices. * Contribute ...

Programmers.io

Data Governance Product Owner

Tampa, FL · On-site

... with engineering, data platform, and business teams to ensure timely product increments. · Oversee delivery of core capabilities, including Critical Data Elements (CDEs) , data quality controls ...

NationsBenefits, LLC

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

Troubleshoot data quality issues and assist with production support activities. Collaborate with business users, analysts, and engineering teams to deliver data solutions. Create and maintain ...

NCL Bahamas Ltd.

Cloud Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Must maintain high data quality and security in cloud environments, automating tasks with Python ... This role focuses on the development and implementation of data engineering solutions that enhance ...

BAE Systems

Data Eng Sr

Fort Walton Beach, FL · On-site +1

$94K - $112K/yr

Experience in building ETL pipelines using AWS Glue, Apache Airflow, and programming languages including Python and PySpark * Understanding of data quality and governance principles and best ...

Fintech

Data Engineering Intern

Tampa, FL · On-site

Data quality basics and documentation * Introduction to Azure Data Lake and Databricks * Basic data ... Engineering, Statistics, or related field.) * 0 - 1 years of experience (preferably in Data or BI ...

NationsBenefits, LLC

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

Troubleshoot data quality issues and assist with production support activities. * Collaborate with business users, analysts, and engineering teams to deliver data solutions. * Create and maintain ...

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Data Quality Developer information

What is a data quality developer?

A Data Quality Developer is an IT professional responsible for ensuring the accuracy, consistency, and reliability of data within an organization’s systems. They design and implement processes, tools, and scripts to identify and resolve data quality issues such as duplicates, missing values, or inconsistencies. Their role often involves collaborating with data engineers, analysts, and business stakeholders to define data quality requirements and standards. Additionally, Data Quality Developers monitor data pipelines, perform data profiling, and create automated tests to maintain high data integrity over time.

What are the key skills and qualifications needed to thrive as a data quality developer?

A Data Quality Developer should have strong skills in data analysis, database management, and data profiling, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, SQL, data quality platforms (like Informatica or Talend), and relevant certifications are often required. Attention to detail, problem-solving, and effective communication are crucial soft skills for collaborating with diverse teams and resolving data issues. These abilities ensure the delivery of accurate, reliable data that supports business decision-making and operational efficiency.

What are some common challenges data quality developers face when working with large datasets, and how can they overcome them?

Data Quality Developers often encounter challenges such as inconsistent data formats, missing values, and integration issues when working with large datasets from multiple sources. To overcome these, they typically implement automated validation rules, build robust data profiling scripts, and work closely with data engineers and business analysts to understand data requirements. Regular communication with stakeholders and adopting best practices for data governance can also help ensure data accuracy and reliability across the organization.

What is the difference between Data Quality Developer vs Data Analyst?

AspectData Quality DeveloperData Analyst
Primary FocusEnsuring data accuracy, consistency, and integrity through data quality processes and toolsAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsData management, SQL, data profiling, data governance certificationsData analysis, SQL, Excel, visualization tools, statistical knowledge
Work EnvironmentData management teams, IT departments, data warehousesBusiness units, marketing, finance, operations
Common UsageFocuses on data quality standards and improvementsFocuses on data insights and reporting

While both roles work with data, Data Quality Developers concentrate on maintaining high data standards and integrity, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps organizations assign the right responsibilities and skills to each role.

Data Quality Developer jobs near you

Lead QA Engineer (Automated)

Orlando, FL • On-site

RIT Solutions, Inc.
Recruiting and Staffing Services • 201 - 500 employees
Learn more about RIT Solutions, Inc.external

$120K/yr

Full-time

Re-posted 13 days ago

Key responsibilities

  • Lead quality assurance efforts across the data lifecycle, from ingestion to visualization.

  • Design, manage, and execute test plans to validate data completeness, accuracy, consistency, and performance across reporting and dashboard solutions.

  • Develop, enhance, and maintain automated test suites and frameworks to support continuous integration and regression testing of data solutions.

Job description

Job Summary:
RIT Solutions, Inc. is seeking a Senior QA Engineer to join their growing team of data management and analytics professionals. In this role, you will lead and execute comprehensive testing strategies for data pipelines and reporting solutions, driving automation initiatives and establishing quality best practices.
Responsibilities:
• Lead quality assurance efforts across the data lifecycle, from ingestion to visualization.
• Define and implement robust QA strategies, standards, and processes for data validation, transformation, and reporting accuracy.
• Mentor junior QA engineers and promote a culture of quality across engineering teams.
• Design, manage, and execute test plans to validate data completeness, accuracy, consistency, and performance across reporting and dashboard solutions.
• Conduct advanced data profiling and exploratory testing to uncover systemic data issues.
• Develop, enhance, and maintain automated test suites and frameworks to support continuous integration and regression testing of data solutions.
• Partner with data engineers to integrate automated testing into CI/CD pipelines.
• Collaborate with engineering, analytics, product management, and business stakeholders to translate business requirements into test cases and quality metrics.
• Serve as the QA point of contact for data governance, engineering reviews, and UAT sessions.
• Establish and enforce best practices for data quality assurance and validation.
• Contribute to enterprise-wide data governance efforts to uphold standards for data accuracy and consistency.
• Design and maintain QA dashboards and KPIs to track data quality trends and highlight anomalies.
• Proactively monitor and troubleshoot performance bottlenecks in data pipelines.
• Lead root cause analysis for complex data issues and drive resolution in collaboration with engineering teams.
• Maintain thorough documentation of test cases, processes, and defect reports.
• Communicate test findings, risks, and recommendations to technical and non-technical stakeholders.
Qualifications:
Required:
• Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field.
• 5+ years of experience in data quality assurance, preferably with a focus on data pipelines, reporting, and analytics solutions.
• Expertise in data testing methodologies, including data profiling, boundary and regression testing, and performance testing.
• Proficiency in SQL and Python for data validation and automation.
• Experience with QA frameworks and tools such as PyTest, Great Expectations, dbt tests, or similar.
• Familiarity with BI and reporting tools (e.g., Tableau, Power BI) to validate end-user dashboards and visualizations.
• Strong understanding of data management principles, including data mapping, data lineage, and metadata management.
• Proven ability to lead initiatives, mentor peers, and influence quality standards across teams.
• Experience working in Agile/Scrum environments with a strong commitment to iterative development and continuous improvement.
• Excellent problem-solving, communication, and stakeholder management skills.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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