Data Quality Engineer

Data Quality Engineer

Design and implement automated data validation frameworks to ensure the integrity of business-critical data solutions. Lead data testing, reconciliation, and quality assurance processes across Snowflake, Oracle, and AWS environments.

Data Engineer - Quality

Design and implement a Python-based tool using LLMs and machine learning to automate quality control checks for vendor data sets. Collaborate with Data Managers and Software Engineers to improve data quality coverage and develop compliance dashboards.

Data Quality Engineer

The Data Quality Engineer will design and implement a data quality framework across Bronze, Silver, and Gold layers while maintaining automated checks within Databricks pipelines. They will also collaborate with Data Engineering teams to validate data flows and ensure production-ready data assets.

Data Quality Engineer

Design and implement a comprehensive data quality framework across Bronze, Silver, and Gold layers within Databricks pipelines. Collaborate with data engineering and business teams to validate data accuracy, perform reconciliation, and monitor pipeline health post-deployment.

Data Quality Engineer

Design and implement a data quality framework across Bronze, Silver, and Gold layers while maintaining automated checks within Databricks pipelines. Collaborate with Data Engineering and business teams to validate data pipelines, perform reconciliation, and ensure production-ready data assets.

Data Quality Engineer

Design and implement a comprehensive data quality framework across Bronze, Silver, and Gold layers within Databricks pipelines. Collaborate with Data Engineering and business teams to validate data pipelines, perform reconciliation, and ensure production-ready data assets.

Senior Data Quality Engineer

The Senior Data Quality Engineer will design and execute data-focused quality strategies for enterprise platforms, including ETL testing and pipeline validation. They will collaborate with cross-functional teams to ensure data integrity, perform root cause analysis, and enhance data quality frameworks.

Quality Engineer – Data Quality & Cloud Analytics Platforms

Architect and implement validation frameworks and automated testing to ensure the accuracy and reliability of enterprise data products. Collaborate with engineers to embed quality controls into CI/CD pipelines across ingestion and transformation layers.

Senior Data Engineer – Data Quality & Observability |1789

Lead the implementation of a scalable data quality and observability framework using GX Core to detect and prevent data issues. Establish validation standards, maintain data lineage, and integrate quality checks into CI/CD pipelines to improve business confidence.

Human Data Quality Engineer (Founding Team) 

Design and build scalable quality frameworks and infrastructure for human data used in training advanced AI models. Act as a strategic partner to clients and AI labs to translate model needs into robust evaluation strategies and annotation schemas.

Senior Data Engineer – Data Quality & Observability | Remote 1789

Lead the implementation of a scalable data quality and observability framework using GX Core to detect and prevent data issues. Design automated validation checks, maintain data lineage, and integrate quality validations into CI/CD pipelines.

Applied AI Engineer - Data Quality Systems

Own end-to-end data quality by designing rule-based and LLM-based checks and building agentic remediation pipelines. Architect the skills library and evaluation scaffolding to ensure high-trust B2B data flowing through the platform.

Part-time NGS Data Quality Engineer

Review and verify player tracking data during live NFL preseason and regular season games. Ensure all plays are correctly mapped to video and update incorrect data using internal web-based tools.

Data Quality Engineer (Contract)

Lead data validation and reconciliation for large-scale healthcare data migrations across multiple sources. Develop SQL and Python-based quality checks to ensure accuracy and operationalize monitoring processes for steady-state operations.

Senior Data Engineer – Redshift | Data Quality & Observability1789

Design and implement a scalable data quality framework while operationalizing GX Core for data validation. Develop observability solutions, maintain data lineage, and integrate quality checks into CI/CD pipelines to ensure data integrity.

Data Quality Assurance Engineer - IICS/Informatica

The engineer will execute quality assurance activities for data solutions on AWS and Oracle, focusing on automated testing for ETL pipelines and analytics workflows. Responsibilities include validating and reconciling data from financial and operational systems, and collaborating with engineers to implement effective QA validation strategies.

Quality Automation Engineer - Data (India)(Remote)

The Data Quality Engineer will design and implement robust data quality frameworks to ensure data accuracy, consistency, and reliability across data platforms. Responsibilities include developing data quality checks, collaborating with teams to resolve data issues, and automating reporting mechanisms.

Data Governance & Quality Engineer

The Data Governance & Quality Engineer will implement and maintain governance platforms using Informatica CDGC and CDQ to ensure data quality and regulatory compliance. They will collaborate with stakeholders to define data standards, manage stewardship workflows, and integrate source systems into the data catalog.

Lead Analytics Engineer - Data Modeling & Quality

The Lead Analytics Engineer will own the SQL and DBT layer to transform raw clinical and claims data into trusted, production-grade datasets. They are responsible for data quality ownership, including triaging alerts, designing validation monitors, and maintaining data modeling standards.

Data Governance and Quality Engineer

The role focuses on implementing data governance solutions, including metadata management and lineage tracking. It involves structuring enterprise-wide data through ETL pipelines and ensuring compliance with industry regulations.

Data Governance & Quality Engineer (Senior)

Implement and maintain the Data Governance platform using Informatica CDGC and AXON. Collaborate with data owners and business stakeholders to define data quality standards and ensure regulatory compliance.

Regional Data Center Controls Quality Engineer

The role involves leading the implementation and quality assurance of building management and control systems for new data center construction projects. The engineer will manage system integrators, oversee commissioning processes, and ensure all controls meet stringent design and safety standards.

QA Engineer (SDET) — AI, Data & Platform Quality

Build and maintain automated testing frameworks for core personalization features, LLM-driven agents, and data pipelines. Collaborate with engineering to implement quality gates and monitor platform reliability and performance.

(Contractor) Quality Assurance Program Manager – Data Center Engineering (DCE)

The Quality Assurance Program Manager will oversee and perform quality control reviews of design drawings and technical documentation for a large portfolio of data center projects. This role involves managing project workflows, ensuring regulatory compliance, and driving process improvement initiatives across engineering and construction teams.