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Data Integrity Engineer Jobs in Missouri (NOW HIRING)

Stellar IT Group

Data Quality Analyst

Saint Louis, MO · On-site

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

Leidos

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 ...

Leidos

Software Engineer/Data Science Librarian

Arnold, MO

$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 ...

Cushman & Wakefield

Data Engineer

Saint Louis, MO

$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 ...

Cushman & Wakefield

Data Engineer

Saint Louis, MO

$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 ...

Cushman & Wakefield

Data Engineer

Saint Louis, MO

$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 ...

Cushman & Wakefield

Data Engineer

Saint Louis, MO

$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 ...

Cushman & Wakefield

Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems. Operate as a self-sufficient data ...

My3Tech Inc

Snowflake Data Engineer

Maryland Heights, MO · On-site

$110K - $132K/yr

Senior Data Engineer- Responsibilities: • Design, develop, and optimize scalable data pipelines ... data integrity, and data governance standards are maintained throughout ETL processes. • ...

Scalence L.L.C.

Data Engineer Lead

Kansas City, MO · On-site

$111K - $134K/yr

... integrity, lineage, governance, and compliance. • Develop monitoring frameworks for data quality and operational metrics. • Implement CI/CD pipelines for data engineering solutions. • Use Git ...

New

Summit Utilities Inc

Engineer - Integrity

Branson, MO · On-site

Analyze assets, inspection, and operational data to identify integrity threats and support risk ranking and prioritization. * Support capital planning by aligning risk reduction opportunities with ...

Dynamic Yield

Senior Data Engineer

O Fallon, MO · On-site

$115K - $184K/yr

Senior Data Engineer About the Role As a Senior Data Engineer, you'll take ownership of building ... and data integrity * Process and transform large datasets using efficient Data Processing ...

Summit Utilities Inc

Engineer - Integrity

Lebanon, MO · On-site

Analyze assets, inspection, and operational data to identify integrity threats and support risk ranking and prioritization. * Support capital planning by aligning risk reduction opportunities with ...

kindeva

Laboratory Validation Engineer II

Bridgeton, MO · On-site

... Metrology, Engineering, IT, and external vendors to ensure successful qualification execution ... Ensure compliance with ALCOA/ALCOA+ data integrity principles and electronic records requirements ...

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All JobsData Integrity Engineer JobsData Integrity Engineer Jobs in Missouri

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 Missouri? For Data Integrity Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Integrity Engineer jobs in Missouri look for? The top searched job categories for Data Integrity Engineer jobs in Missouri are:
What cities in Missouri are hiring for Data Integrity Engineer jobs? Cities in Missouri with the most Data Integrity Engineer job openings:
Data Integrity Engineer jobs near you

Data Quality Analyst

Stellar IT Group

Saint Louis, MO • On-site

Full-time

Posted 8 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

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