[Remote] Sr. Data Quality Engineer

Note: The job is a remote job and is open to candidates in USA. Affinity Solutions is the leading consumer purchase insights company, providing a complete view of U.S. and U.K. consumer spending through exclusive access to transaction data. They are seeking a Senior Data Quality Engineer to lead initiatives ensuring the accuracy and reliability of their enterprise data ecosystem, architecting data quality frameworks and collaborating with cross-functional teams.ResponsibilitiesEstablish and enforce enterprise-wide data quality standards, frameworks, and best practices aligned with organizational objectivesLead comprehensive data quality initiatives to monitor, validate, and enhance data accuracy, completeness, consistency, and timeliness across all systemsDesign and implement automated data quality validation, profiling, and anomaly detection mechanismsDefine and track key data quality metrics and SLAs to measure and improve data reliabilityImplement data quality gates and validation checkpoints throughout the data lifecycleDevelop and maintain comprehensive metadata repositories, data dictionaries, and data lineage documentation to ensure transparency and traceabilityEnsure strict adherence to data privacy regulations (GDPR, CCPA, HIPAA) and industry compliance standardsImplement and enforce robust security measures including data encryption, masking, tokenization, and role-based access controlsParticipate in data governance committees and contribute to policy developmentPartner closely with data scientists, analytics engineers, platform engineers, and business stakeholders to deliver reliable, fit-for-purpose data solutionsProvide technical mentorship and guidance to junior and mid-level engineers, fostering a culture of excellence in data qualityConduct code reviews and promote engineering best practices across the data organizationTranslate complex technical concepts for non-technical stakeholdersMonitor and evaluate emerging technologies, tools, and methodologies in data quality, observability, and governanceIdentify opportunities for process optimization and technical debt reductionLead proof-of-concept initiatives to validate new technologies and approachesDrive strategic recommendations to enhance data reliability, efficiency, and organizational data maturitySkillsBachelor's degree in Computer Science, Information Systems, Data Engineering, or related technical field; Master's degree preferred5+ years of progressive experience in data quality engineering, data governance, or data platform engineeringDemonstrated track record of implementing enterprise-scale data quality solutionsProven experience leading technical initiatives and mentoring engineering teamsExpert-level proficiency in SQL and query optimization techniquesAdvanced programming skills in Python, including libraries for data processing (Pandas, NumPy, PySpark)Strong understanding of distributed computing frameworks (Apache Spark, Hadoop ecosystem)Deep expertise in data modeling methodologies (dimensional modeling, data vault, 3NF)Comprehensive knowledge of ETL/ELT design patterns and data integration strategiesHands-on experience with cloud platforms (AWS, Google Cloud Platform, or Azure)Proficiency with modern cloud data warehouses (Amazon Redshift, Google BigQuery, Snowflake)Experience with data quality and observability tools (Great Expectations, Soda Core, Monte Carlo, or similar)Familiarity with workflow orchestration tools (Apache Airflow, Prefect, Dagster)Knowledge of data cataloging and governance platforms (Datahub, Openmetadata, Alation, or similar)Version control systems (Git) and CI/CD practicesWorking knowledge of data privacy regulations (GDPR, CCPA) and compliance frameworksUnderstanding of data security principles and implementation of access controlsExperience with metadata management and data lineage trackingBenefitsGenerous company contributions for medical, dental, and visionCompany-paid holidaysWellness time offOther wellness benefitsCompany-paid life insuranceOption to enroll in a 401K Plan with employer matchUnlimited vacation days, available after 90 days of employmentEmployee discountsProfessional development opportunitiesCompany OverviewAffinity Solutions offers technology, analytics, data processing, and business services for customers. It was founded in 2005, and is headquartered in New York, New York, USA, with a workforce of 51-200 employees. Its website is https://www.affinity.solutions.Company H1B SponsorshipAffinity Solutions has a track record of offering H1B sponsorships, with 4 in 2026, 11 in 2025, 22 in 2024, 6 in 2023, 6 in 2022, 9 in 2021, 4 in 2020. Please note that this does not guarantee sponsorship for this specific role.