Sr. Data Quality Engineer
Job#: 3038945
Job Description:
Data Quality Engineer
We are seeking a Data Quality Engineer to support and scale data quality across our AWS-based data platform. This role will focus on ensuring trusted, reliable data across customer, product, and operational datasets that power e-commerce experiences, analytics, and AI initiatives.
You will partner closely with data engineering, analytics, and product teams to embed quality directly into pipelines, improve observability, and enable confident, data-driven decision making.
Key Responsibilities:
Data Quality Engineering
- Design and implement data quality frameworks across batch and real-time data pipelines
- Define and enforce data quality rules (completeness, accuracy, consistency, timeliness)
- Build automated checks for:
- Schema validation
- Data drift and anomaly detection
- Referential integrity and business rule validation
- Establish and track data quality KPIs and SLAs
AWS Data Platform Integration
- Embed data quality controls within AWS-native pipelines using:
- Amazon S3 (data lake)
- AWS Glue (ETL/ELT processing)
- Amazon Redshift / Snowflake (analytics layer)
- AWS Lambda (event-driven validation)
- Validate data across ingestion → transformation → consumption layers
- Support both batch and streaming pipelines (e.g., Kinesis, Kafka if applicable)
Pipeline Testing & Automation
- Develop and maintain automated testing frameworks for data pipelines
- Create:
- Unit and integration tests for ETL/ELT jobs
- Data reconciliation and regression test suites
- Integrate testing into CI/CD pipelines for continuous validation
- Enable reusable validation patterns using tools like dbt, Great Expectations, or custom frameworks
Data Observability & Monitoring
- Implement monitoring and alerting using CloudWatch or similar tools
- Build dashboards to track:
- Data freshness
- Pipeline health
- Data quality trends
- Perform root cause analysis on data issues and partner with engineering to resolve
Data Focus
- Ensure quality across key domains such as:
- Customer data (profiles, behavior, segmentation)
- Product/catalog data (attributes, pricing, inventory)
- Order and transaction data
- Clickstream / digital analytics data
- Support downstream use cases including:
- Personalization and marketing analytics
- Inventory and supply chain insights
- Customer experience optimization
Cross-Functional Collaboration
- Partner with data engineers to embed quality checks directly into pipelines
- Work with business stakeholders to define data acceptance criteria and rules
- Support analytics and AI teams by delivering high-quality, production-ready datasets
Required Qualifications
- 3–7+ years of experience in data engineering, data quality, or QA for data platforms
- Strong hands-on experience with AWS data ecosystem (S3, Glue, Redshift, Lambda)
- Proficiency in SQL and Python for data validation and transformation
- Experience building and testing ETL/ELT pipelines
- Understanding of data modeling and data warehousing concepts
Preferred Qualifications
- Experience with data quality frameworks/tools (dbt tests, Great Expectations, etc.)
- Familiarity with Airflow / MWAA or similar orchestration tools
- Experience with streaming data validation (Kafka, Kinesis)
- Exposure to data governance, lineage, and cataloging tools
- Experience supporting AI/ML or advanced analytics pipelines
Key Competencies
- Strong attention to detail and focus on data integrity
- Ability to work across engineering and business teams
- Problem-solving mindset with a focus on root cause analysis
- Experience building scalable, reusable data quality solutions
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.
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Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Everforth Apex team member can provide.
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