OverviewWe are seeking a highly experienced Data Engineer to support a fast-growing eCommerce brand operating within a modern, warehouse-first data architecture. This is a project-based, on-demand engagement for a senior-level professional who can design, build, and optimize scalable data infrastructure across analytics, marketing, and operational workflows.
The ideal candidate has deep expertise in BigQuery, dbt, and Looker, with hands-on experience modeling complex eCommerce data from platforms such as Shopify, Klaviyo, subscription systems (e.g., Loop), and 3PL providers
Key Responsibilitiesโข Design, build, and maintain scalable data pipelines using BigQuery and dbt
โข Architect and optimize warehouse-first data models to support analytics, marketing, and operational reporting
โข Develop and maintain Looker dashboards and semantic layers
โข Integrate and transform data from Shopify, Klaviyo, Loop (subscriptions/returns) and 3PL systems (e.g., ShipHero, ShipBob, etc.)
โข Build automated workflows for data ingestion, validation, and monitoring
โข Implement best practices for data quality, governance, and documentation
โข Leverage AI tools (LLMs, automation frameworks) to:
- Accelerate data transformation workflows
- Refactor and optimize SQL/dbt models
- Automate anomaly detection and QA processes
โข Collaborate with analytics, product, and marketing teams to translate business requirements into scalable data solutions
โข Troubleshoot data discrepancies and provide root-cause analysis
โข Recommend architectural improvements to improve performance, reliability, and scalability
Service Level Agreements (SLAs)
- Response Time: Acknowledge requests within 24 hours
- Critical Issues (P0): Immediate response and active resolution
- Standard Requests: Timeline provided within 72 hours
- Billing Model: Time & materials based on agreed scope and hours worked
Requirementsโข 5+ years experience in data engineering within a modern cloud data stack
โข Advanced experience with BigQuery, Dbt, SQL performance optimization
โข Experience building and maintaining Looker dashboards and data models
โข Strong understanding of:
- eCommerce metrics (AOV, LTV, churn, CAC, retention)
- Marketing attribution
- Subscription data structures
โข Experience integrating and modeling data from (not exactly similar software would work) Klaviyo, Loop or similar subscription platforms, Shopify 3PL systems
โข Experience implementing data quality checks and validation pipelines
โข Strong written and verbal communication skills
โข Ability to work independently with minimal oversight
Preferred Qualifications- Experience working with distributed or agency environments
- Experience supporting DTC brands
- Experience with marketing data pipelines (Google Ads, Meta, TikTok)
- Experience building reverse ETL workflows
- Familiarity with data ingestion tools (Fivetran, Daton, Airbyte, etc.)
- Experience implementing AI-assisted data transformation workflows
- Exposure to experimentation analytics (A/B testing frameworks)
Ideal Candidate Profile
We are looking for someone who:
- Understands both technical architecture and business implications
- Can move quickly in a project-based environment
- Thinks in systems, not just SQL queries
- Is comfortable leveraging AI tools to improve speed and efficiency
- Has experience working across marketing, product, and operations data
The duties and responsibilities described here are not a comprehensive list and the scope of the job may change as necessitated by business demands. Anatta Design reserves the right to revise the job description as circumstances warrant.
Compensation Transparency & Pay Philosophy
At Anatta Design, we believe in fair and competitive compensation based on location. We post salary ranges in compliance with state requirements for U.S.-based roles, ensuring transparency for candidates in those regions. If you are applying from outside the U.S., please note that our pay scales are adjusted based on the cost of living and market conditions in each country.