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Data Validation Jobs in Georgia (NOW HIRING)

STRATEGIC MINDZ LLC

Data Reporting Analyst

Atlanta, GA · On-site

$55 - $65/hr

Implement data quality checks, reconciliation logic, and validation rules across pipelines * Support ad-hoc data requests and analysis from program leadership * Document data definitions, lineage ...

Curant Health

Healthcare Data Analyst

Smyrna, GA · On-site

This role is responsible for recurring reporting, Power BI dashboard support, data validation, KPI and SLA monitoring, and analysis used in operational reviews and Quarterly Business Reviews (QBRs)

LexisNexis

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

You will work closely with data sources and internal partners to research, validate, and analyze data, helping to improve data quality and usability. The role emphasizes problem solving ...

RELX

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

You will work closely with data sources and internal partners to research, validate, and analyze data, helping to improve data quality and usability. The role emphasizes problem solving ...

Computer Task

Data Engineer-Data Integration

Atlanta, GA · On-site

$83 - $152/hr

Perform data profiling, source system analysis, data validation, reconciliation, and quality checks. * Optimize ETL workflows for performance, reliability, and scalability. * Troubleshoot ETL ...

New

Kemper

Senior Data Systems Analyst

Alpharetta, GA

$84K - $105K/yr

Validate system behavior under expected and peak business workloads. * Assess data processing performance and service-level requirements. End-to-End Data Workflow Testing * Design and execute test ...

LexisNexis

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

You will work closely with data sources and internal partners to research, validate, and analyze data, helping to improve data quality and usability. The role emphasizes problem solving ...

RELX Group plc

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

You will work closely with data sources and internal partners to research, validate, and analyze data, helping to improve data quality and usability. The role emphasizes problem solving ...

Rubicon Global

Data Management Analyst

Atlanta, GA · On-site

Review, validate, and maintain vendor and contract information to ensure completeness, accuracy, and audit readiness. * Perform data quality reviews, identify discrepancies, and resolve data ...

Rubicon

Data Management Analyst

Atlanta, GA · On-site +1

Review, validate, and maintain vendor and contract information to ensure completeness, accuracy, and audit readiness. * Perform data quality reviews, identify discrepancies, and resolve data ...

Central Garden & Pet

Master Data Analyst

Atlanta, GA · On-site

Manage requests through the designated workflow platform; validate required fields, approvals, supporting documentation, and routing before processing. * Apply data standards, naming conventions ...

New

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All JobsData Validation JobsData Validation Jobs in Georgia

Data Validation information

See Georgia salary details

$19

$43

$65

How much do data validation jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data validation in Georgia is $43.90, according to ZipRecruiter salary data. Most workers in this role earn between $33.27 and $53.37 per hour, depending on experience, location, and employer.

What is a data validation?

A Data Validation job involves reviewing, cleaning, and verifying data to ensure accuracy, consistency, and reliability. Professionals in this role check for errors, inconsistencies, and missing information using automated tools and manual techniques. They work with databases, spreadsheets, and software applications to maintain data integrity, often collaborating with analysts and engineers. Their work is critical for making informed business decisions and maintaining regulatory compliance.

What does a data validation do?

A Data Validation professional typically spends their day reviewing large datasets, identifying inconsistencies or errors, and ensuring that all data meets established quality standards. This may involve developing and running automated scripts, maintaining data validation rules, and collaborating with data engineers or analysts to resolve data-related issues. The role often requires documenting validation processes and findings to support transparency and future audits. You can expect to work both independently and as part of a larger data or QA team, making your contributions vital to maintaining reliable business information.

What are the key skills and qualifications needed to thrive in data validation, and why are they important?

To thrive in Data Validation, a strong attention to detail, analytical thinking, and experience with data management or quality assurance processes are essential, often supported by a degree in information technology, statistics, or a related field. Familiarity with database software (such as SQL), spreadsheet tools (like Excel), and data validation or ETL (Extract, Transform, Load) systems, along with relevant certifications, is highly beneficial. Strong problem-solving skills, effective communication, and the ability to work both independently and collaboratively help individuals excel in this role. These skills ensure the accuracy and integrity of organizational data, supporting informed decision-making and operational efficiency.

What is the work of data validation?

Data validation is a key responsibility in data validation roles, involving checking data for accuracy, completeness, and consistency to ensure it meets specified standards. It often requires knowledge of data management tools and techniques to identify errors and prevent incorrect data from entering systems, supporting data quality and integrity.

What are the most commonly searched types of Data Validation jobs in Georgia?

The most popular types of Data Validation jobs in Georgia are:

What are popular job titles related to Data Validation jobs in Georgia?

For Data Validation jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Validation jobs in Georgia look for?

The top searched job categories for Data Validation jobs in Georgia are:

What cities in Georgia are hiring for Data Validation jobs?

Cities in Georgia with the most Data Validation job openings:

Data Validation jobs near you
Infographic showing various Data Validation job openings in Georgia as of August 2026, with employment types broken down into 31% Full Time, and 69% Contract. Highlights an 100% In-person job distribution, with an average salary of $91,322 per year, or $43.9 per hour.

Data & Reporting Engineer - Building the Infrastructure Behind Client Reporting

EARNEST Partners

Atlanta, GA

$110K - $132K/yr

Full-time

Re-posted 10 days ago

Job description

About the Firm

We are a global investment management firm reimagining what the next-generation investment organization should look like. As artificial intelligence, automation, data systems, and evolving market structure reshape the industry, we believe the traditional asset management operating model is due for reinvention.

We are investing aggressively in the people, infrastructure, workflows, and technologies that will define that future model - one that is more intelligent, adaptive, scalable, and integrated across investing, trading, operations, and decision-making.

Data and reporting sit at the operational core of that evolution. The firm's ability to communicate performance, deliver institutional-grade client reporting, and act on information depends on the quality, speed, and integrity of our data infrastructure - a genuine competitive advantage.

This is an environment for builders, problem-solvers, and intellectually curious operators who want to help shape the future state of the investment industry.

THE OPPORTUNITY

We are seeking a Data & Reporting Engineer to own the full lifecycle of institutional client reporting - from data validation and pipeline management through the production and delivery of client-facing performance packages.

This role sits at the intersection of data engineering and institutional reporting. You will work across our data platform and reporting infrastructure to ensure clients receive accurate, timely, well-structured performance information - and that the systems producing it keep improving.

The ideal candidate understands both the technical plumbing behind data and what that data ultimately communicates to a client. You are equally comfortable writing a SQL validation query and redesigning a report layout that makes attribution easier to read. You want to improve the process, not just execute it.

This opportunity is intended for someone who wants to build more than a career. It is for an ambitious professional who wants to help build an enduring Fintech company.

KEY RESPONSIBILITIES
  • Redesign and automate reporting workflows. Map monthly, quarterly, and annual cycles, identify manual steps and bottlenecks, and build auditable replacements in Python and SQL - questioning whether steps should exist at all, not just improving them in place.
  • Build and maintain pipelines connecting source systems (portfolio, performance, risk) to client reporting outputs, with single-source-of-truth alignment across teams.
  • Deploy AI-assisted tools to accelerate report production - data validation, exception-flagging, and narrative drafting.
  • Own end-to-end production of client deliverables - performance attribution, account summaries, consultant reporting packages - accountable for accuracy and on-time delivery.
  • Maintain reporting databases and reference tables, resolving discrepancies and enforcing data-governance standards.
  • Design client report templates and presentation formats for clarity and usability.
  • Partner with Investment, Product Management, Technology, and Compliance teams to gather requirements, fulfill custom client reporting requests, and coordinate cross-functional delivery.
WHAT EXCEPTIONAL CANDIDATES BRING
  • Experience in data, analytics, or reporting within financial services, asset management, or a similarly data-intensive environment.
  • Hands-on proficiency in SQL and Python for data extraction, validation, transformation, and workflow automation, at production-grade level rather than ad hoc queries.
  • Familiarity with investment data concepts (performance, attribution, positions, risk) and an understanding of how data integrity failures affect what clients see and how they interpret it.
  • Comfort working across reporting and data visualization tools, including AI-native environments, and a bias toward adopting better approaches over established ones.
  • Exposure to financial data platforms such as FactSet, Bloomberg, FIS, or similar, with comfort navigating the messiness of real-world data environments.
  • Strong analytical mindset with the ability to identify inefficiencies, evaluate tradeoffs, and propose solutions rather than surface problems.
  • Clear written and verbal communication, with the ability to translate technical findings into plain language for investment, operations, and client-facing stakeholders.

Experience with workflow orchestration, ETL tooling, or AI-assisted automation is a plus - but curiosity, adaptability, and a learning orientation matter more than any single technical skillset.

CULTURE & ENVIRONMENT

We operate in a high-accountability environment where the work is consequential. We value individuals who take ownership, communicate proactively, and follow through consistently.

We are particularly interested in people energized by change: those who want to rethink established processes, experiment thoughtfully with new technologies, and help shape how a modern investment organization operates.

This is not simply a maintenance role within an established framework. It is an opportunity to help build and evolve the future operating model of the firm.

We offer a competitive total compensation package, including base salary, annual performance bonus, and comprehensive benefits. Compensation will reflect experience, capabilities, and the level of ownership and impact the role carries, and will be discussed in detail during the interview process.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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