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Data Validation Jobs in Alabama (NOW HIRING)

Urology Centers of Alabama

Data Engineer

Homewood, AL · On-site

$80 - $100/hr

Implement data validation, auditing, and reconciliation processes to ensure data integrity across systems * Partner with Revenue Cycle, Compliance, and Clinical teams to support auditing ...

Urology Centers of Alabama

Data Engineer

Homewood, AL · On-site

$107K - $128K/yr

Implement data validation, auditing, and reconciliation processes to ensure data integrity across systems * Partner with Revenue Cycle, Compliance, and Clinical teams to support auditing ...

Urology Centers of Alabama, P.C.

Data Engineer

Homewood, AL · On-site

$107K - $128K/yr

Implement data validation, auditing, and reconciliation processes to ensure data integrity across systems * Partner with Revenue Cycle, Compliance, and Clinical teams to support auditing ...

Saicon

Senior Data Analytics Architect

Huntsville, AL · On-site

$64 - $85.75/hr

This individual will be key in supporting and developing new tools and providing comprehensive support to internal customers, requiring strong skills in data validation. The Data Architect will ...

Guidehouse

Data Engineer

Huntsville, AL · On-site

$53K - $88K/yr

Perform data validation and quality assurance activities to help ensure data accuracy, completeness, and reliability. * Collaborate with data engineers, developers, analysts, and other stakeholders ...

IBML

Software QA Engineer

Birmingham, AL · On-site

Validate application behavior and underlying data outcomes, including verification of create, read, update, and delete processing where applicable. * Query databases to confirm expected system ...

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All JobsData Validation JobsData Validation Jobs in Alabama

Data Validation information

See Alabama salary details

$20

$47

$70

How much do data validation jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data validation in Alabama is $47.13, according to ZipRecruiter salary data. Most workers in this role earn between $35.72 and $57.31 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 popular job titles related to Data Validation jobs in Alabama?

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

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

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

Data Validation jobs near you
Infographic showing various Data Validation job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $98,028 per year, or $47.1 per hour.

Data Engineer

Urology Centers of Alabama

Homewood, AL • On-site

$80 - $100/hr

Other

Re-posted 3 days ago

Job description

Job Details

Job Location: Homewood Central - Homewood, AL 35209

General Summary

The Healthcare Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and analytics infrastructure for Urology Centers of Alabama, P.C. This role ensures the reliable integration of clinical, revenue cycle, and operational data from multiple systems to support reporting, analytics, compliance, and strategic decision-making across the organization. The Data Engineer partners closely with clinical, revenue cycle, finance, and IT teams to ensure data accuracy, availability, and security in a regulated healthcare environment.

Essential FunctionsData Architecture & Engineering
  • Design, develop, and maintain data pipelines that integrate data from EMRs, practice management systems, billing platforms, payer files, and ancillary systems
  • Build and manage data warehouses, data marts, and structured datasets to support clinical, financial, and operational reporting
  • Optimize data performance, reliability, and scalability across analytics platforms
Healthcare Systems Integration
  • Extract, transform, and load (ETL) data from healthcare systems including EMR, revenue cycle, scheduling, and financial systems
  • Ensure accurate mapping of clinical and financial data elements such as CPT, ICD-10, HCPCS, modifiers, charges, payments, and adjustments
  • Support interoperability standards such as HL7, FHIR, and flat-file payer feeds where applicable
Data Quality, Governance & Compliance
  • Implement data validation, auditing, and reconciliation processes to ensure data integrity across systems
  • Partner with Revenue Cycle, Compliance, and Clinical teams to support auditing, reimbursement analysis, and regulatory reporting
  • Ensure data security, access controls, and HIPAA compliance across all data environments
Analytics & Reporting Enablement
  • Enable dashboards and reporting for key performance areas including revenue cycle performance, provider productivity, quality metrics, and operational efficiency
  • Support advanced analytics initiatives such as denial analysis, reimbursement variance tracking, capacity utilization, and physician performance reporting
  • Collaborate with analysts and business stakeholders to translate reporting needs into scalable data solutions
Collaboration & Continuous Improvement
  • Work closely with IT, EMR administrators, vendors, and business leaders to support system upgrades and new implementations
  • Document data models, pipelines, and data definitions to support transparency and sustainability
  • Identify opportunities to automate manual reporting and improve data accessibility across Urology Centers of Alabama, P.C.
Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is occasionally required to stand; walk; sit, handle, or feel objects, tools, or controls; reach with hands and arms; stoop, kneel, crouch, or crawl; and talk or hear. The employee must occasionally lift and/or move more than 45 pounds.

Supervisory Requirements

This position will not supervise employees.

QualificationsMinimum Qualifications
  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (required)
  • Healthcare analytics or informatics education preferred
  • 3–7 years of experience in data engineering or analytics engineering
  • Experience working with healthcare data, preferably in a physician practice or multi-specialty environment
  • Hands‑on experience integrating EMR and revenue cycle data
Preferred Qualifications
  • Strong SQL skills and experience with relational databases (e.g., SQL Server, PostgreSQL, Oracle)
  • Experience with ETL tools and data pipeline frameworks
  • Familiarity with cloud data platforms (Azure, AWS, or GCP preferred)
  • Experience with healthcare data standards (CPT, ICD-10, HL7, FHIR)
  • Knowledge of BI tools (Power BI, Tableau, or similar)
Licensure, Certification, Registration Requirements

None.

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