[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.
Responsibilities
- Establish and enforce enterprise-wide data quality standards, frameworks, and best practices aligned with organizational objectives
- Lead comprehensive data quality initiatives to monitor, validate, and enhance data accuracy, completeness, consistency, and timeliness across all systems
- Design and implement automated data quality validation, profiling, and anomaly detection mechanisms
- Define and track key data quality metrics and SLAs to measure and improve data reliability
- Implement data quality gates and validation checkpoints throughout the data lifecycle
- Develop and maintain comprehensive metadata repositories, data dictionaries, and data lineage documentation to ensure transparency and traceability
- Ensure strict adherence to data privacy regulations (GDPR, CCPA, HIPAA) and industry compliance standards
- Implement and enforce robust security measures including data encryption, masking, tokenization, and role-based access controls
- Participate in data governance committees and contribute to policy development
- Partner closely with data scientists, analytics engineers, platform engineers, and business stakeholders to deliver reliable, fit-for-purpose data solutions
- Provide technical mentorship and guidance to junior and mid-level engineers, fostering a culture of excellence in data quality
- Conduct code reviews and promote engineering best practices across the data organization
- Translate complex technical concepts for non-technical stakeholders
- Monitor and evaluate emerging technologies, tools, and methodologies in data quality, observability, and governance
- Identify opportunities for process optimization and technical debt reduction
- Lead proof-of-concept initiatives to validate new technologies and approaches
- Drive strategic recommendations to enhance data reliability, efficiency, and organizational data maturity
Skills
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related technical field; Master's degree preferred
- 5+ years of progressive experience in data quality engineering, data governance, or data platform engineering
- Demonstrated track record of implementing enterprise-scale data quality solutions
- Proven experience leading technical initiatives and mentoring engineering teams
- Expert-level proficiency in SQL and query optimization techniques
- Advanced 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 strategies
- Hands-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 practices
- Working knowledge of data privacy regulations (GDPR, CCPA) and compliance frameworks
- Understanding of data security principles and implementation of access controls
- Experience with metadata management and data lineage tracking
Benefits
- Generous company contributions for medical, dental, and vision
- Company-paid holidays
- Wellness time off
- Other wellness benefits
- Company-paid life insurance
- Option to enroll in a 401K Plan with employer match
- Unlimited vacation days, available after 90 days of employment
- Employee discounts
- Professional development opportunities
Company Overview
Company H1B Sponsorship