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Data Integrity Engineer Jobs in Alabama (NOW HIRING)

Data Engineer

Birmingham, AL · On-site

$107K - $128K/yr

General Summary The Healthcare Data Engineer is responsible for designing, building, and ... Implement data validation, auditing, and reconciliation processes to ensure data integrity across ...

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

... integrity including reconciliation, and exception reporting. • Collaborate with software developers and data scientists to support advanced analytics and AI initiatives. • Ensures alignment of ...

Data Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Job Summary: We are looking for a highly skilled Data Engineer to join our team. The ideal ... Monitor data integrity, quality, and security, ensuring that all data meets the company's standards.

TAGM Data Engineer

Redstone Arsenal, AL · Hybrid

$116K - $140K/yr

TAGM Data Engineer Program Summary KBR's Defense and Technology Solutions division delivers mission ... The ideal candidate will build robust data pipelines, ensure data integrity and compliance, manage ...

TAGM Data Engineer

Redstone Arsenal, AL · On-site

$116K - $140K/yr

TAGM Data Engineer Program Summary KBR's Defense and Technology Solutions division delivers mission ... The ideal candidate will build robust data pipelines, ensure data integrity and compliance, manage ...

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

... integrity including reconciliation, and exception reporting. • Collaborate with software developers and data scientists to support advanced analytics and AI initiatives. • Ensures alignment of ...

Data Quality Engineer

Montgomery, AL · On-site

$113K - $136K/yr

Job Role : Data Quality Engineer Duration : 03 months (Possibility of extension) Location ... integrity. * SQL Proficiency: Write complex queries to validate data accuracy, perform ...

Data Developer IV Location: Birmingham, AL or Atlanta, GA Work Model: Hybrid (2 days in office ... and data integrity * Lead and oversee database architecture and development efforts across ...

... engineering. * Data Integration & ETL * Extract, transform, and load (ETL) data from multiple sources, ensuring data integrity and accuracy. * Develop and optimize queries using SQL, Python, DAX, and ...

Data Architect

Huntsville, AL · On-site

$160K - $210K/yr

We are seeking dynamic professionals who embody our core values of Integrity, Commitment, and ... Be an Oracle Database PL/SQL Developer Certified Professional. Why LaunchTech? LaunchTech is built ...

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Data Integrity Engineer information

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise remains critical for ensuring data quality, security, and integration. AI tools serve as complementary technologies that enhance efficiency but do not eliminate the role of data engineers.

What are the 4 types of data integrity?

Data integrity in a Data Integrity Engineer role refers to the accuracy, consistency, and reliability of data throughout its lifecycle. The four main types are physical integrity (protection against physical damage), logical integrity (accuracy and consistency of data within databases), referential integrity (maintaining valid relationships between data tables), and data integrity constraints (rules enforcing data validity). Ensuring these types involves implementing validation, access controls, and audit mechanisms to maintain high-quality data in organizational systems.

What does an integrity engineer do?

An integrity engineer is responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They develop and implement data validation, monitoring, and quality control processes, often using tools like SQL, Python, or data management software, to maintain data integrity across systems.

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 engineers make $500,000?

Senior engineers in high-demand fields such as software, data engineering, and specialized engineering roles can earn $500,000 or more annually, especially with experience, advanced skills, and in certain industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, and reaching this level typically requires extensive expertise and leadership responsibilities.

What are Data Integrity Engineers?

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 Alabama? For Data Integrity Engineer jobs in Alabama, the most frequently searched job titles are:
What cities in Alabama are hiring for Data Integrity Engineer jobs? Cities in Alabama with the most Data Integrity Engineer job openings:
Data Engineer

$107K - $128K/yr

Other

Posted 27 days ago


Key responsibilities

  • Design, develop, and maintain data pipelines that integrate data from various healthcare systems.

  • Build and manage data warehouses, data marts, and structured datasets to support reporting needs.

  • Implement data validation, auditing, and reconciliation processes to ensure data integrity across systems.


Job description

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 Functions

  1. Data Architecture & Engineering
  2. Design, develop, and maintain data pipelines that integrate data from EMRs, practice management systems, billing platforms, payer files, and ancillary systems
  3. Build and manage data warehouses, data marts, and structured datasets to support clinical, financial, and operational reporting
  4. Optimize data performance, reliability, and scalability across analytics platforms
  5. Healthcare Systems Integration
  6. Extract, transform, and load (ETL) data from healthcare systems including EMR, revenue cycle, scheduling, and financial systems
  7. Ensure accurate mapping of clinical and financial data elements such as CPT, ICD-10, HCPCS, modifiers, charges, payments, and adjustments
  8. Support interoperability standards such as HL7, FHIR, and flat-file payer feeds where applicable
  9. Data Quality, Governance & Compliance
  10. Implement data validation, auditing, and reconciliation processes to ensure data integrity across systems
  11. Partner with Revenue Cycle, Compliance, and Clinical teams to support auditing, reimbursement analysis, and regulatory reporting
  12. Ensure data security, access controls, and HIPAA compliance across all data environments
  13. Analytics & Reporting Enablement
  14. Enable dashboards and reporting for key performance areas including revenue cycle performance, provider productivity, quality metrics, and operational efficiency
  15. Support advanced analytics initiatives such as denial analysis, reimbursement variance tracking, capacity utilization, and physician performance reporting
  16. Collaborate with analysts and business stakeholders to translate reporting needs into scalable data solutions
  17. Collaboration & Continuous Improvement
  18. Work closely with IT, EMR administrators, vendors, and business leaders to support system upgrades and new implementations
  19. Document data models, pipelines, and data definitions to support transparency and sustainability
  20. 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.

Minimum Qualifications

  1. Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (required)
  1. Healthcare analytics or informatics education preferred
  1. 3–7 years of experience in data engineering or analytics engineering
  2. Experience working with healthcare data, preferably in a physician practice or multi-specialty environment
  3. Hands-on experience integrating EMR and revenue cycle data

Preferred Qualifications

  1. Strong SQL skills and experience with relational databases (e.g., SQL Server, PostgreSQL, Oracle)
  2. Experience with ETL tools and data pipeline frameworks
  3. Familiarity with cloud data platforms (Azure, AWS, or GCP preferred)
  4. Experience with healthcare data standards (CPT, ICD-10, HL7, FHIR)
  5. Knowledge of BI tools (Power BI, Tableau, or similar)

Licensure, Certification, Registration Requirements

            None.