
Data Engineer – Contract
Posted Jun 10

Posted Jun 10
This is a fully remote position, open to applicants in United States.
• Design, construct, and sustain scalable data pipelines utilizing BigQuery and dbt.
• Architect and enhance warehouse-first data models to facilitate analytics, marketing, and operational reporting.
• Develop and manage Looker dashboards and semantic layers.
• Integrate and transform data from Shopify, Klaviyo, Loop (subscriptions/returns), and 3PL systems (e.g., ShipHero, ShipBob, etc.).
• Create automated workflows for data ingestion, validation, and monitoring.
• Implement best practices for data quality, governance, and documentation.
• Utilize AI tools (LLMs, automation frameworks) to accelerate data transformation workflows.
• Refactor and optimize SQL/dbt models.
• Automate anomaly detection and quality assurance processes.
• Collaborate with analytics, product, and marketing teams to translate business requirements into scalable data solutions.
• Diagnose data discrepancies and provide root-cause analysis.
• Suggest architectural enhancements to boost performance, reliability, and scalability.
• Over 5 years of experience in data engineering within a contemporary cloud data stack.
• Proficient experience with BigQuery, dbt, and SQL performance optimization.
• Experience in building and maintaining Looker dashboards and data models.
• Solid understanding of eCommerce metrics (AOV, LTV, churn, CAC, retention).
• Knowledge in marketing attribution.
• Familiarity with subscription data structures.
• Experience integrating and modeling data from Klaviyo, Loop or similar subscription platforms, Shopify, and 3PL systems.
• Proven experience in implementing data quality checks and validation pipelines.
• Excellent written and verbal communication skills.
• Capability to work independently with minimal supervision.
• Competitive compensation.
• Generous vacation policy.
• Parental leave.
• Training opportunities.
• Enjoyable company-wide retreats.
Applied Research Solutions
Persona
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