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Data Validation Engineer Jobs in Florida (NOW HIRING)

Data Engineer

Fort Walton Beach, FL · Remote

$79K - $134K/yr

Ensure data quality, integrity, and security by implementing data validation, data cleansing, and ... Proficiency in one or more programming languages (e.g., Python, Java, Scala) * 6+ years of ...

Test Automation Engineer

Tampa, FL · On-site

$43.50 - $57.50/hr

... SQL & Backend Data Validation JIRA Functional Testing Regression Testing End-to-End Testing ... with Developers, Analysts & DevOps Teams Preferred Experience: Selenium / Cypress Automation ...

Data Engineer

Tampa, FL · On-site

$114K - $135K/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 ...

Data Engineer

Tampa, FL

$114K - $135K/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 ...

Data Engineer- Greater Tampa

Tampa, FL · On-site

$108K - $129K/yr

MaxHealth is seeking a Data Engineer for developing, maintaining, and supporting enterprise data ... Implement data validation and reconciliation processes within pipelines * Monitor data quality ...

Data Engineer- Greater Tampa

Tampa, FL

$108K - $129K/yr

MaxHealth is seeking a Data Engineer for developing, maintaining, and supporting enterprise data ... Implement data validation and reconciliation processes within pipelines * Monitor data quality ...

Data Engineer- Greater Tampa

Tampa, FL · On-site

$104K - $125K/yr

MaxHealth is seeking a Data Engineer for developing, maintaining, and supporting enterprise data ... Implement data validation and reconciliation processes within pipelines * Monitor data quality ...

Data Solutions Engineer

Orlando, FL · On-site

$106K - $128K/yr

... data validation and cleansing procedures to ensure the highest level of data quality and integrity. • Use Microsoft Fabric to support data engineering, analytics, and business intelligence ...

Data Engineer- Greater Tampa

Tampa, FL · On-site

$108K - $129K/yr

MaxHealth is seeking a Data Engineer for developing, maintaining, and supporting enterprise data ... and validation efforts for new data integrations and enhancementsDatabase Development ...

Data Engineer

Tampa, FL · On-site

$114K - $135K/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 ...

We are looking for a Data Engineer Intern to support our analytics and data platform initiatives ... Simple ETL processes and data validation * Data quality basics and documentation * Introduction to ...

Data Engineer - SOCOM

Tampa, FL · On-site

$104K - $125K/yr

Data Engineer - SOCOM Location: On-Site, Tampa, FL Clearance Level: Top Secret / SCI, Must Have ... Strong understanding of data validation, model testing, and performance evaluation techniques.

Data Engineer

Tampa, FL · On-site

$114K - $135K/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 ...

Showing results 21-40

Data Validation Engineer information

What is a data validation engineer?

Data Validation Engineers are professionals responsible for ensuring the accuracy, quality, and integrity of data within software systems or databases. They design and implement tests, validation protocols, and automated processes to verify that data meets specified requirements and is free from errors. Data Validation Engineers often work closely with data engineers, analysts, and developers to identify inconsistencies, troubleshoot issues, and maintain reliable datasets crucial for business operations and decision-making.

What are the key skills and qualifications needed to thrive as a data validation engineer?

To thrive as a Data Validation Engineer, you need strong analytical skills, a background in computer science or engineering, and experience with data quality assurance methodologies. Familiarity with database management systems, data validation tools (like Talend or Informatica), and scripting languages such as Python or SQL is typically required. Attention to detail, problem-solving abilities, and effective communication are critical soft skills in this role. These competencies are essential for ensuring data integrity, minimizing errors, and supporting reliable business decision-making.

What are the typical challenges faced by data validation engineers when working with large and complex datasets?

Data Validation Engineers often encounter challenges such as handling inconsistent data formats, ensuring data integrity across multiple sources, and managing large-scale datasets efficiently. Identifying subtle data anomalies and implementing robust automated validation scripts can be difficult, especially when data is unstructured or rapidly changing. Collaboration with data engineers, analysts, and quality assurance teams is essential to develop effective validation strategies and maintain high data quality standards throughout the data pipeline.

What is the difference between Data Validation Engineer vs Data Analyst?

AspectData Validation EngineerData Analyst
Primary FocusEnsuring data accuracy, integrity, and validation processesAnalyzing data to identify trends and generate reports
Skills & CertificationsData validation tools, SQL, scripting, quality assuranceData analysis, visualization, statistical skills, Excel, SQL
Work EnvironmentData warehouses, ETL pipelines, quality assurance teamsBusiness units, reporting teams, data-driven departments
Industry UsageTech, finance, healthcare, where data quality is criticalMarketing, finance, consulting, where insights drive decisions

While both roles work with data, Data Validation Engineers focus on verifying data accuracy and integrity during data processing, whereas Data Analysts interpret data to provide insights and support decision-making. Understanding these differences helps organizations assign the right skills to each role.

What cities in Florida are hiring for Data Validation Engineer jobs?

Cities in Florida with the most Data Validation Engineer job openings:

Infographic showing various Data Validation Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Engineer

Fort Walton Beach, FL • Remote

BAE Systems
National Security and International Affairs • 10K+ employees

$79K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


BAE Systems rating

8.4

Company rating: 8.4 out of 10

Based on 151 frontline employees who took The Breakroom Quiz


Job description

Job Description
We are seeking an experienced Data Engineer to design, build, and maintain large-scale data warehouses, ETL pipelines, and AI/ML models that drive data-driven decision-making. The successful candidate will have a strong background in data warehousing, ETL, and AI/ML, with experience in working with various tools.
Key Responsibilities:
  • Design and implement data pipelines to ingest, extract, transform, load (ETL) data and store large data sets from various sources
  • Build and maintain data warehouses, including data modeling, data governance, and data quality
  • Ensure data quality, integrity, and security by implementing data validation, data cleansing, and data governance policies
  • Optimize data systems for performance, scalability, and reliability
  • Collaborate with customers to understand their technical requirements and provide guidance on best practices for using Amazon Redshift
  • Work with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver data solutions
  • Provide technical support for Amazon Redshift, including troubleshooting, performance optimization, and data modeling
  • Integrate AI/ML models with ETL pipelines and data warehouses to enable predictive analytics and machine learning
  • Develop and deploy AI/ML models using popular frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Work with data scientists to develop and deploy data-driven products and features
  • Identify and resolve data-related issues, including data pipeline failures, data quality issues, and performance bottlenecks
  • Develop technical documentation and knowledge base articles to help customers and AWS engineers troubleshoot common issues

Required Education, Experience, & Skills
  • Bachelor's or Master's degree in Computer Science or a related field, with at least 6 years of experience in Information Technology, or equivalent combination of education and work experience.
  • Proficiency in one or more programming languages (e.g., Python, Java, Scala)
  • 6+ years of experience in data engineering, with a focus on designing and implementing large-scale data systems
  • 5 + years of hands-on experience in writing complex, highly optimized queries across large data sets using AWS Redshift, Oracle and SQL Server.
  • 5 + years of hands-on experience using AWS Glue, python/spark to build ETL pipelines in a production setting, including writing test cases
  • Strong understanding of database design principles, data modeling, and data governance
  • Proficiency in SQL, including query optimization, indexing, and performance tuning
  • Experience with data warehousing concepts, including star and snowflake schemas
  • Strong analytical and problem-solving skills, with the ability to break down complex problems into manageable components
  • Experience with data storage solutions such as relational databases (Oracle, SQL Server), NoSQL databases and cloud-based data warehouses (Redshift)
  • Experience with data processing frameworks such as Apache Kafka, Fivetran
  • 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 practices
  • Experience with AWS services and best practices
Soft Skills:
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Strong problem-solving and analytical skills, with the ability to break down complex problems into manageable components
  • Ability to work in a fast-paced environment and adapt to changing priorities
  • Strong attention to detail and ability to maintain high-quality documentation
  • Commitment to continuous learning and professional development

Preferred Education, Experience, & Skills
  • Experience with Dataiku
  • Experience with building reports using PowerBI and Tableau
  • Familiarity with agile development methodologies and version control systems such as Git
  • Certification in data warehousing, ETL, or AI/ML (e.g., Certified Data Warehouse Architect, Certified ETL Developer)
  • Experience with agile development methodologies such as Scrum or Kanban
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Pay Information
Full-Time Salary Range: $79370 - $134929
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.
About BAE Systems, Inc.
BAE Systems, Inc. is a defense, aerospace, and security company headquartered in Falls Church, Virginia, with more than 40,000 employees worldwide. We serve, supply, and protect those who protect us. As one of the most geographically diverse international defense companies, we deliver a full range of products and services spanning air, land, maritime, space, and cyber, including advanced electronics, intelligence solutions, and dedicated customer support.
Our culture is performance-driven and values-led, built on curiosity, creativity, and collaboration. Purpose isn't a tagline here. It's what drives us. We're developing breakthrough technologies that defend national security and make a lasting impact on our communities and our planet. When you join BAE Systems, you're not just building a career. You're contributing to a mission that truly matters.
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

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About BAE Systems

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At BAE Systems, we provide some of the world's most advanced, technology-led defence, aerospace and security solutions. We employ a skilled workforce of more than 93,000 in around 40 countries. Working with customers and local partners, we develop, engineer, manufacture, and support products and systems to deliver military capability, protect national security and people, and keep critical information and infrastructure secure.

Industry

National security and international affairs and it services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US