Job Description
Job DescriptionSalary: $140,000 - $170,000
Position:Data Quality Engineer (Ecomm Analytics), Hybrid New York, NY Direct Hire/Full-Time
Your Next Big Move Starts Here
Our client a fast-growing retail company with 2030% year-over-year revenue growth is looking for aData Quality Engineerready to make an impact. Join a founder-led team that values innovation, curiosity, and precision as they scale a world-class data ecosystem powering marketing performance dashboards.
What Youll Be Doing
- Build & maintain scalable pipelines in Google Cloud / BigQuery
- Model data in dbt (with GitHub version control)
- Integrate ecommerce, marketing, and analytics data sources (SQL + Python)
- Implement automated data quality checks, anomaly detection, and KPI alerts for DTC metrics
- Own documentation, enforce governance standards, and enable self-service analytics
- Partner with engineering, marketing, and analytics teams to solve complex data challenges
What You Bring to the Table
5+ years in data engineering or analytics engineering
Strong SQL + Python skills
Proficiency with dbt and cloud data warehouses (BigQuery, Snowflake, or AWS)
Business context in ecommerce or DTC analytics (session/order level experience is a plus)
A passion for optimizing data systems and enabling better decisions
About Our Client
A high-growth retail brand with a culture built on innovation, precision, and customer focus consistently achieving double-digit annual revenue growth.
Qualifications
- Expertise in SQL, Python, dbt, and cloud data platforms
- Ecommerce analytics experience strongly preferred
Who We Are
Lloyd Staffing has been connecting talent with opportunity for over 50 years. We specialize in aligning professionals with roles where they can thrive helping organizations grow and individuals build rewarding careers.
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Unfortunately, we are not able to provide sponsorship or transfer.