We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The global technology and services leader that powers the world’s best brands, today and into the future.
Data Quality Engineer
Location
United States
Posted
91 days ago
Salary
$92.3K - $120K / year
Seniority
Mid Level
Job Description
Data Quality Engineer
CNX
Role Description We are seeking a highly skilled Data Engineering - Quality Engineer to define and implement end-to-end testing strategies for a modern data platform built on AWS. This role will be responsible for ensuring data quality, reliability, and performance across the entire pipeline; from ingestion to transformation and reporting; within the Redshift BI Foundations program. - Define the end-to-end testing scope based on solution architecture and project OPM documentation - Design and implement a comprehensive testing strategy and plan aligned with organizational QA standards - Develop and maintain test scripts and frameworks for the Redshift BI Foundations platform - Perform testing across key technologies, including: - AWS Redshift - AWS DMS (Data Migration Service) - AWS Glue - Terraform - Python-based data pipelines - Apache Airflow (via Astronomer managed interface) - dbt (data build tool) - Soda.io (data quality and observability) - Build and implement automated testing solutions to ensure: - End-to-end data validation - Data ingestion accuracy - Transformation logic integrity - Data pipeline reliability - Conduct test coverage analysis and ensure adequate validation across all data engineering workflows - Prepare and manage test data - Review and provide feedback on: - Solution architecture - Data models - Design and technical documentation - Collaborate with cross-functional teams (Data Engineering, BI, DevOps, Product) to: - Identify testing impacts - Mitigate risks - Ensure high-quality deliverables Qualifications - Proven experience in data engineering testing / data QA / ETL validation - Strong hands-on experience with AWS data services (Redshift, Glue, DMS) - Proficiency in Python for test automation and validation - Experience with Airflow (Astronomer preferred) and orchestration testing - Hands-on experience with dbt and data transformation validation - Familiarity with Terraform for infrastructure validation - Experience in BI testing in Tableau will be highly beneficial - Experience with data quality tools such as Soda.io or similar - Strong understanding of: - Data warehousing concepts - ETL/ELT pipelines - Data validation techniques (schema, reconciliation, anomaly detection) Requirements - Experience designing enterprise-level test strategies for data platforms - Knowledge of CI/CD pipelines for data and test automation - Experience working in Agile / Scrum environments - Familiarity with data observability frameworks Benefits - Medical, dental, and vision insurance - Comprehensive employee assistance program - 401(k) retirement plan - Paid time off and holidays
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Senior Data Engineer, GCP, BigQuery, Looker
Smart WorkingEmpowering companies to work with the best engineers in the world
• Design, build, and maintain robust ETL/ELT pipelines that move data from source systems into Google BigQuery, ensuring reliability, scalability, and observability at every stage. • Develop and enforce data models and schema standards using best-practice SQL and dimensional modelling principles, with a focus on clarity, reuse, and performance. • Own the Google BigQuery environment, optimising queries, managing costs, enforcing data governance, and ensuring the platform scales alongside the business. • Build and maintain Looker explores, LookML models, and dashboards that translate complex datasets into clear, actionable business intelligence for non-technical stakeholders. • Work across the full Google Cloud Platform stack, including Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, and Composer, to architect end-to-end data solutions. • Partner with analytics, engineering, and commercial teams to understand data requirements and translate business problems into scalable technical solutions. • Champion data quality and testing frameworks, implementing monitoring and alerting so that issues are caught early and resolved quickly. • Contribute to documentation, coding standards, and architectural decision records so the team can move fast with confidence. • Mentor junior data team members and set the bar for engineering rigour across the data function. • Stay current with developments in the modern data stack and proactively recommend tooling or process improvements where appropriate.
Roster Data Management Specialist
UnitedHealth GroupUnitedHealth Group is a healthcare and well-being company that’s dedicated to improving the health outcomes of millions around the world. We are comprised of
Role Description The Roster Data Management Specialist is responsible for maintaining accurate, timely, and compliant roster data across internal systems and external partners, including payers and regulatory entities. This role serves as the authoritative owner of roster data and plays a critical role in ensuring provider readiness, minimizing claim denials, and supporting operational and financial performance. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Roster Data Governance & Integrity - Maintain master roster records for providers, facilities, and affiliations - Ensure data consistency across credentialing, enrollment, EHR, and payer systems - Enforce required data standards, naming conventions, and documentation requirements - Conduct routine and ad hoc audits to identify discrepancies, duplicates, or missing data - Maintain version control and audit trails for roster submissions and updates - Roster Submissions & Payer Management - Prepare, validate, and submit roster files to payers and external entities - Monitor submission status, acknowledgments, approvals, and rejections - Resolve payer feedback related to effective dates, locations, specialties, or network status - Serve as the primary point of contact for payer roster-related inquiries and escalations - Change & Lifecycle Management - Process provider and facility adds, terminations, transfers, and demographic updates - Coordinate effective dates to align with credentialing, contracting, and enrollment milestones - Ensure roster updates are implemented timely to support go-lives and billing activities - Cross-Functional Collaboration - Partner with Credentialing, Provider Enrollment, Provider Relations, Revenue Cycle, and Compliance teams - Support claims and billing teams by researching and resolving roster-related denials - Proactively communicate roster risks that may impact revenue, provider activation, or compliance - Manage Provider Data Management Shared Inbox - Create, update and maintain department job aids - Reporting & Continuous Improvement - Track roster submission cadence, payer SLAs, and resolution timelines - Identify trends, recurring issues, and root causes of roster discrepancies - Develop reports or dashboards to support leadership visibility and decision-making - Recommend process improvements to reduce errors and improve efficiency - Complete reporting requests for internal and external requirements - Compliance & Audit Support - Ensure roster data complies with payer contracts, CMS requirements, and state regulations - Support internal and external audits by providing documentation, submission history, and reconciliations - Escalate compliance risks related to incomplete or inaccurate roster data Qualifications - 3+ years of experience in provider enrollment, credentialing, roster management, or healthcare operations - Solid understanding of payer enrollment workflows and provider lifecycle management - High attention to detail with experience managing complex datasets - Proficiency with Excel and healthcare platforms such as MD-Staff, CAQH, Availity or any other payer portals Requirements - Experience supporting multi state provider networks or high volume rosters - Familiarity with CMS, Medicaid, Medicare, and commercial payer requirements - Experience partnering with Revenue Cycle to resolve claim denials - Reporting or dashboard development experience Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (all benefits are subject to eligibility requirements) Application Deadline This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
Mission Manager – War Data Platform
Defense UnicornsWe help mission-focused heroes solve the world’s biggest software challenges.
• Lead a Defense Unicorns delivery team supporting our Mission Hero through a DoW prime contractor partner • Serve as the primary point of contact with the prime's program management • Own delivery execution and financial performance on a multi-year contract • Partner with Defense Unicorns Tech Leads to ensure the team delivers mission value across platform engineering, DevSecOps, cloud, and SRE disciplines • Manage a smooth transition from the incumbent contractor with minimal disruption to ongoing delivery • Conduct a successful architecture review with our Mission Hero • Establish a foundational operational environment to support ongoing mission delivery • Build a productive working relationship with our Mission Hero in coordination with the prime • Translate Mission Hero and prime requirements into actionable work • Ensure commitments are met on time and to quality • Own burn rate management and monthly forecasting against the contract ceiling • Lead staffing plans, backfills, and ramp planning across option years in coordination with the contracts team • Champion Defense Unicorns' values and principles
• Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform • Develop automated workflows and data platforms that support analytics, reporting, and AI/ML use cases • Implement best practices for data security, governance, CI/CD, and automated deployment • Collaborate with data engineers, architects, data scientists, and business stakeholders • Produce high-quality, reusable code and mentor team members on best practices • Support testing, deployment, monitoring, and production troubleshooting


