Remote Data Engineer - Data Pipelines & AI

Scale Media, Inc

United States

À distance

USD 130 000 - 150 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Medical, Dental, Vision insurance
Fully remote, full-time
Monthly WFH stipend
Paid time off
Discounted products

Résumé du poste

Scale Media, Inc. is seeking a Data Engineer to own the data infrastructure behind all brands.

You will build pipelines sourcing data from Shopify, Amazon Seller Central, Meta, Google Ads, Klaviyo, and Odoo, ensuring trustworthy data for cross-team decisions. You’ll join as the data specialist in a growing, fully remote engineering team, shaping data models, governance, and integrations with your colleagues.

Qualifications

  • Strong SQL and Python with production data pipelines.
  • Experience with Airflow, dbt, and cloud data warehouses (Snowflake/BigQuery/Redshift).
  • Hands-on Odoo data modeling, integrations, and upgrades.
  • Experience integrating Shopify, Amazon Seller Central, Meta, Google Ads, Klaviyo.
  • Cloud infra management (AWS/GCP) and scripting.
  • Data governance, security, and access control best practices.
  • Clear documentation and ability to explain data systems to non-technical teammates.
  • 3–5 years of data engineering experience.

Responsabilités

  • Own and optimize data architecture and ETL/ELT pipelines with orchestration tools.
  • Maintain and expand hosting infrastructure and data scripts as usage grows.
  • Ensure data accuracy and reliability across all sources for reporting.

Connaissances

SQL
Python
Data modeling
ETL/ELT pipelines
Documentation
Remote collaboration

Outils

Airflow
dbt
Snowflake
BigQuery
Redshift
Odoo

Description du poste

Scale Media, Inc. is seeking a Data Engineer to own the data infrastructure behind all brands.

You will build pipelines sourcing data from Shopify, Amazon Seller Central, Meta, Google Ads, Klaviyo, and Odoo, ensuring trustworthy data for cross-team decisions. You’ll join as the data specialist in a growing, fully remote engineering team, shaping data models, governance, and integrations with your colleagues.

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