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 20–30% year-over-year revenue growth — is looking for a Data Quality Engineer ready 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 You’ll 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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Job Type: Full-time

Pay: $140,000.00 - $170,000.00 per year

Application Question(s):

Do you have 5+ years in data engineering/analytics engineering, strong SQL + Python, dbt, and cloud warehouse expertise (BigQuery, Snowflake, or AWS)?

Ability to Commute:

New York, NY 10041 (Required)

Work Location: In person

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Data Quality Engineer