Sr. Data Quality Engineer jobs in United States
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Affinity Solutions · 1 day ago

Sr. Data Quality Engineer

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.

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H1B Sponsor Likelynote

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

Qualification

SQLPythonData Quality EngineeringData GovernanceCloud PlatformsData WarehousingETL/ELT DesignData ModelingData Privacy RegulationsVersion ControlTechnical MentorshipCross-Functional Collaboration

Required

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related technical field
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

Preferred

Master's degree

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

Affinity Solutions

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Affinity Solutions offers technology, analytics, data processing, and business services for customers.

H1B Sponsorship

Affinity Solutions has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (22)
2023 (6)
2022 (6)
2021 (9)
2020 (4)

Funding

Current Stage
Growth Stage
Total Funding
$35.5M
Key Investors
Chestnut Hill Ventures
2013-06-10Series Unknown· $21M
2012-06-27Series Unknown· $14.5M
2011-07-27Private Equity

Leadership Team

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Ken Barbieri
SVP, Business Development
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Mike Biamonte
Chief Innovation Officer
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Company data provided by crunchbase