Full Stack Engineer: Data Quality
1 week ago
This range is provided by ShopVision. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $150,000.00/yr - $170,000.00/yr Direct message the job poster from ShopVision We are looking for a highly detail-oriented full-stack engineer to join the ShopVision 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 we 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 our key customer accounts, helping them strategize on the data they need to solve their business challenges with the ShopVision platform. Responsibilities 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 TypeScript 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. What We’re Looking For Advanced SQL skills and the ability to diagnose and resolve data issues Data warehousing and ETL experience (BigQuery, Snowflake, Redshift, Databricks etc) Proficiency in TypeScript and full-stack development Experience working with event-driven workflow platforms like Inngest A detail-oriented, thorough, and methodical approach to problem-solving Familiarity with AI development tools (Cursor, Google Antigravity) and a knack for working quickly and efficiently Bonus points for experience with proxies or anti-bot techniques A “put out the fire” mentality to find quick resolutions to data issues / outages impacting our customers Ability to build close working relationships with our data providers and data ingestion partners Seniority level Entry level Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at ShopVision by 2x #J-18808-Ljbffr
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