Data Engineer

Scale Media; Burbank (CA); Remote; USD 130,000 - 150,000; Full time

Benefits offered by this job

Salary: $130,000 - $150,000 per year

Medical, Dental, Vision & Life

Fully remote position

Monthly WFH stipend

Generous Paid Time Off

Discounted Products

Collaborative team

Job summary

Scale Media, Inc. is seeking a Data Engineer to own the data infrastructure behind its multi-brand ecosystem.

You will design and run pipelines sourcing data from Shopify, Amazon Seller Central, Meta, Google Ads, Klaviyo, and Odoo, ensuring trust and availability for analytics teams. As the dedicated data specialist, you will set the data modeling, movement, governance, and usage directions, collaborating with engineers to build robust systems.

Qualifications

• Strong SQL and Python skills for building production data pipelines.
• Experience with Airflow, dbt, and cloud data warehouses (Snowflake, BigQuery, Redshift).
• Odoo data modeling, integrations, and upgrades.
• Shopify data/APIs and ecommerce platforms (Meta, Google Ads, Klaviyo).
• Cloud infrastructure management on AWS or GCP.
• Data governance, security, and access controls are understood.
• Clear documentation habits and ability to explain data systems to others.
• 3–5 years in data engineering or closely related roles with full-stack ownership.

Responsibilities

• Own and optimize data architecture and ETL/ELT pipelines with scheduling and monitoring.
• Maintain hosting infrastructure and scripts as data needs grow.
• Ensure data accuracy and reliability across sources for trusted reporting.
• Maintain API integrations and data connectors (Shopify, Amazon Seller Central, Meta, Google Ads, Klaviyo).
• Scope and build new data integrations as the business adds tools and channels.
• Serve as the go-to technical partner for Odoo and plan upgrades.
• Design, build, and maintain integrations between Odoo and other systems.
• Oversee data governance, access controls, and security practices.
• Document configurations and data flows for cross-team understanding.
• Collaborate with analytics/marketing to standardize KPIs across models.
• Implement AI/ML-driven solutions for data enrichment, anomaly detection, forecasting, automation.
• Review workflows, improve performance, and enable data-driven efficiency.
• Own MCP connection to the data warehouse to allow LLM access.

Skills

SQL

Python

Airflow

dbt

Odoo

Shopify

AWS

GCP

Snowflake

BigQuery

Redshift

Tools

Odoo

Shopify API

APIs

AWS

GCP

Airflow

dbt

Snowflake

BigQuery

Redshift

Job description

About Scale:

For the past 12 years, Scale Media has been building and scaling science-backed wellness brands. Our portfolio of brands, including Live Conscious, 1MD, and Essential Elements, has grown to 9 figures in revenue while operating profitably with no external funding.

Our team is made up of operators, marketers, and builders focused on products consumers actually trust. We're investing heavily in data and AI to sharpen how we develop products and scale brands.

We believe the best decisions come from data, curiosity, and continuous learning. We value high ownership, candid feedback, and thoughtful execution. As a fully remote company, we lead with clear communication, accountability, and trust, and we give people real room to grow and make an impact.

Scale Media has been recognized as one of Forbes' Best Startup Employers, a Great Place to Work, an Inc. Best Workplace, and an Inc. 5000 company.

If you take ownership, think for yourself, and like solving hard problems alongside people who do the same, you'll fit right in.

The Role

We're looking for a Data Engineer to own the data infrastructure behind all of Scale Media's brands. You'll build and run the pipelines that bring together data from Shopify, Amazon Seller Central, Meta, Google Ads, Klaviyo, and Odoo, etc. and make sure the teams who rely on that data can trust it.

You’ll join our existing engineering team as its dedicated data specialist. That means real ownership: you'll set the direction for how we model, move, govern, and use data, with engineering teammates around you to build alongside.

Most of your time will go to data engineering. You’ll also be a thought partner on key cross-functional projects, most notably Odoo, which our inventory team uses for inventory management. There, you'll help plan upgrades, design integrations, and keep its data flowing cleanly into the rest of our stack. This is a hand-on builder role for someone who enjoys solving messy data problems and turning them into reliable systems.

What You'll Own

Data Architecture & Pipelines:

• Own and optimize the company's data architecture and ETL/ELT pipelines, including scheduling, orchestration, and monitoring with tools like Airflow and dbt.
• Maintain, optimize, and expand our hosting infrastructure and scripts as data volume and use cases grow.
• Ensure data accuracy, consistency, and reliability across every source system, so reporting and decisions rest on numbers people trust.

Integrations & Data Connectors:

• Maintain API integrations and data connectors with platforms including Shopify, Amazon Seller Central, Meta, Google Ads, Klaviyo, etc.
• Scope and build new data integrations as the business adds tools, channels, and brands.

Odoo Partnership:

• Act as the go-to technical partner for Odoo, supporting our inventory team on Odoo-related initiatives.
• Help plan and execute Odoo upgrades with minimal disruption to day-to-day inventory operations.
• Design, build, and maintain integrations and ETL processes between Odoo and our other internal and external systems.

Data Governance & Documentation:

• Oversee data governance, access controls, and security practices that protect our systems and customer data from breaches.
• Document configurations, integrations, and data flows so the rest of the team can understand and build on them.
• Act as a thought partner to analytics and marketing teams to define, standardize, and maintain business-critical KPIs across all data models and reporting layers.

AI/ML & Automation:

• Implement AI/ML-driven solutions for data enrichment, anomaly detection, forecasting, and process automation.
• Continuously review data workflows and performance, and find new ways to use data to make the business run more efficiently.
• Ownership and setup of MCP connection to the data warehouse to allow users access to data through LLM

What You Bring

• Strong SQL and Python skills, with hands-on experience building and maintaining production data pipelines.
• Experience with modern orchestration and transformation tools such as Airflow and dbt, and with a cloud data warehouse (Snowflake, BigQuery, Redshift, or similar).
• Hands-on experience with Odoo, including working with its data model, building integrations, and supporting or executing version upgrades.
• Experience working with Shopify data and APIs, and integrating ecommerce and marketing platforms such as Amazon Seller Central, Meta, Google Ads, or Klaviyo.
• Comfort managing cloud infrastructure (AWS, GCP, or similar) and the scripts and jobs that run on it.
• A solid grasp of data governance, security, and access-control practices.
• Clear documentation habits and the ability to explain data systems to non-technical teammates.
• 3-5 years of experience in data engineering or a closely related role. Strong backgrounds include:
• Data engineers at DTC or ecommerce brands who have owned the full stack from source to warehouse
• ERP or Odoo developers who have grown into broader data engineering and pipeline work
• Analytics engineers who have taken on infrastructure, orchestration, and integration ownership

Preferred, But Not Required

• Experience in DTC, consumer subscription, supplements, or wellness.
• Experience building custom Odoo modules in Python.
• Hands-on work applying AI/ML to forecasting, anomaly detection, or data enrichment.
• Familiarity with inventory, supply chain, or demand-planning data.

What Makes You a Fit

• High Ownership:
  As our dedicated data specialist, you treat the data stack as yours to improve, not a ticket queue to work through.
• Thought Partner:
  You bring ideas to the table and help teams like inventory shape the right solution, not just implement the request.
• Detail-Oriented:
  You care about getting the numbers right, because the whole business makes decisions on them.
• Self-Starter in a Remote Environment:
  You’re comfortable in a fully remote, fast-paced environment and communicate clearly without needing to be in the same room.
• Curious Problem-Solver:
  You enjoy untangling messy data problems and keep an eye out for new ways data can make the business more efficient.

Reporting Structure

You will report directly to Uday Dorawala, Engineering Manager.

What We Offer

• Salary: $130,000 - $150,000 depending on experience
• Excellent Medical, Dental, Vision and Life insurance
• Fully remote, full-time position
• Monthly WFH stipend
• Generous Paid Time Off program
• Discounted Products
• An amazing team to work alongside