> Markdown version of [/jobs/ext/4320745-data-engineer](https://www.wearedevelopers.com/jobs/ext/4320745-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Scale Inc - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $130,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Application Programming Interfaces (APIs), Google AdWords, Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, BigQuery, Cloud Engineering, Customer Data Management, Data Architecture, Data Cleansing, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Python (Programming Language), Machine Learning, Operational Databases, Standard Sql, Shopify, Data Streaming, Systems Integration, Klaviyo Email and SMS Marketing, Large Language Models, Snowflake, Amazon Marketplace, Odoo, Data Pipelines, Api Management, Amazon Redshift - **Published:** October 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8e73315d504e5b96 ## About the Role * 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. ## Description 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 hands-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, * 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.