Full Stack Engineer

Data Engineer — Python / SQL / Warehouse

Headquartered in Los Angeles, California, Right Balance provides top-tier technology talent for innovative companies in the US. We’re in the top 50 companies to watch in LA.

Our client is an AI‑driven competitive intelligence platform built for modern e‑commerce brands. They provide real‑time visibility into market shifts by tracking hundreds of thousands of brands, retailers, and marketplaces across categories and channels. Their platform delivers insights on pricing, promotions, creative strategy, merchandising, and overall site experience, helping brands make faster and smarter decisions. Backed by experienced e‑commerce operators and strong funding, they’re building a category‑defining product at the intersection of AI and commerce intelligence.

Our client is looking for a highly detail‑oriented full‑stack engineer to join their team with a strong focus on data quality. In this role, you’ll be the go‑to expert for ensuring that all 1st party (customer) and 3rd party data they ingest – whether it’s screenshots, emails, Google Ads, or any other data source – is accurate, complete, and reliably collected.

This role will also see you deployed to work directly with data engineers at key customer accounts, helping them strategize on the data they need to solve their business challenges.

• Data Quality Management:
  Identify gaps or inconsistencies in incoming data. This includes developing robust monitoring processes to detect missing screenshots, incomplete email data, gaps in ad records, and the data quality of our integrations into our customers' infrastructure including Shopify, GA4 and Klaviyo.
• Hands‑On Problem Solving:
  Once data issues are identified, you’ll dive into our Type Script codebase to implement fixes, ensuring that the data pipeline is smooth and robust.
• Full‑Stack Development:
  Work as a full‑stack engineer, not only troubleshooting data quality issues but also enhancing and maintaining the systems that process our data with a focus on driving data processing cost efficiencies.
• Investigative Mindset:
  Approach problems like a forensics data detective – digging into the “why” behind inconsistencies and leaving no stone unturned until the data is pristine.
• AI and Automation:
  Use AI tools to streamline your workflow, and be comfortable leveraging automation to improve data quality processes.
• Proxies and Anti‑Bot Expertise:
  If you have experience dealing with anti‑bot mechanisms or using proxies, that’s a huge plus.
• Customer Obsessed Mindset:
  Work closely with our customer success and sales team to prioritize critical data issues impacting both existing and prospective customers.
• Define our Metrics. Develop the metrics by which we will track and report on our data quality including progress towards goals.

Availability:
Full‑time,

Location:

Canada

• Get hired directly by the client.
• Competitive salary and early‑stage equity package.
• Opportunity to work with cutting‑edge technologies and design, own, and operate full parts of our stack.
• Flexible remote work environment.
• Career growth and development opportunities.
• Chance to make a significant impact on the e‑commerce industry.
• Learn and evolve your skills using the latest and greatest technology tools in a rapidly growing company.
• Learn from the best people around you. We constantly challenge the status quo and invent new ways of building a great product.
• Flexible hours. Join daily standups, sprint planning, and retrospective meetings. Other than that you’re in control of your own schedule.
• 100% remote. Work anywhere in Canada, whether it is remotely in the comfort of your home, in a shared co‑working space, in an RV on the beach, or while being a nomad in another country.
• Work on challenging problems, innovate, and positively impact many people's lives while having fun doing it.

• 5+ years of full‑time hands‑on Software Development experience.
• 4+ years of full‑time hands‑on Advanced SQL experience.
• 3+ years of full‑time hands‑on Typescript experience.
• 3+ years of full‑time Data Warehousing experience.
• 3+ years of full‑time hands‑on ETL/Data Pipeline experience.
• Advanced SQL…