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Data Integrity Engineer Jobs in Missouri (NOW HIRING)

... accuracy, integrity, and reliability of outbound data feeds, regulatory submissions, and vendor ... engineering, analytics, and business stakeholders to deliver high-quality solutions. Key ...

Software Engineer/Data Science Librarian

Arnold, MO · On-site

$101K - $121K/yr

The ideal candidate brings strong experience in coding/script development, database management, geospatial components, and software engineering to ensure seamless data integrity, automation, and ...

The ideal candidate brings strong experience in coding/script development, database management, geospatial components, and software engineering to ensure seamless data integrity, automation, and ...

Data Engineer

Saint Louis, MO · On-site

$110K - $133K/yr

The Data Engineer helps design, build, and maintain pipelines and platforms that power our data ... Data integrity * Audit readiness * Stakeholder Feedback Equal Opportunity Employer This employer is ...

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Ensure data integrity and consistency across all QIG's inputs and outputs through rigorous ...

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Ensure data integrity and consistency across all QIG's inputs and outputs through rigorous ...

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Ensure data integrity and consistency across all QIG's inputs and outputs through rigorous ...

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Ensure data integrity and consistency across all QIG's inputs and outputs through rigorous ...

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

The Data Engineer works within the Agile frameworks to support the team's data-driven approach to application migration, collaborating closely with other team members to ensure data integrity and ...

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

The Data Engineer works within the Agile frameworks to support the team's data-driven approach to application migration, collaborating closely with other team members to ensure data integrity and ...

Develop and implement automation strategies to streamline seamless data handling, data integrity ... Expert-level proficiency in Python and other object-oriented programming languages. * Demonstrated ...

Develop and implement automation strategies to streamline seamless data handling, data integrity ... Mid-level proficiency in Python and other object-oriented programming languages. * Demonstrated ...

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Data Integrity Engineer information

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 is a data integrity engineer?

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 cities in Missouri are hiring for Data Integrity Engineer jobs? Cities in Missouri with the most Data Integrity Engineer job openings:

Data Quality Analyst

Stellar IT Group

Saint Louis, MO • On-site

Full-time

Re-posted 20 days ago


Job description

Overview:
Data Quality Analyst
Location: Remote
Duration: 3-6+ months (possible extension)
Position Summary
We are seeking experienced Data Quality Analysts to join Medica's IT team. In this role, you will lead testing and validation efforts across complex data environments, ensuring the accuracy, integrity, and reliability of outbound data feeds, regulatory submissions, and vendor deliverables. As senior contributors, you will define quality strategies, mentor junior analysts, and collaborate with engineering, analytics, and business stakeholders to deliver high-quality solutions.
Key Responsibilities
  • Design and execute test strategies, plans, and validation frameworks for data pipelines and applications.
  • Lead functional, regression, and data validation testing to ensure compliance with business and regulatory requirements.
  • Validate inbound/outbound data feeds, including regulatory submissions, vendor integrations, and reporting outputs.
  • Perform advanced data reconciliation and root cause analysis across multiple systems.
  • Identify risks and quality gaps; drive mitigation strategies proactively.
  • Partner with stakeholders to define acceptance criteria and ensure release readiness.
  • Maintain documentation and traceability to support audits, compliance, and internal controls.
Required Qualifications
  • Bachelor's degree in Information Systems, Computer Science, Analytics, or related field.
  • 5+ years of experience in QA, software testing, or data validation.
  • Advanced SQL skills with experience handling large, complex datasets.
  • Strong background in testing data pipelines, ETL processes, and data platforms.
  • Excellent analytical, problem-solving, and communication skills.
  • Experience working in Agile or iterative delivery environments.
Preferred Qualifications
  • Experience in healthcare or health plan data (claims, enrollment, HEDIS/Stars).
  • Familiarity with QA automation tools and frameworks.
  • Exposure to cloud-based data platforms or modern data architectures.

Skills:
QA,SQL,ETL,HEDIS,HEALTHCARE