About Out of the Blue
Out of the Blue is building an agentic AI platform to help eCommerce brands scale smarter and protect revenue. Our platform proactively detects and acts on what breaks growth—misfiring pixels, broken tracking, underperforming funnels.
We combine GenAI, classic ML, and optimization to surface insights, recommend fixes, and deploy autonomous agents that take action across the stack.
We’re a post-product, post-revenue startup backed by SF-based investors, with a team from Google, PayPal, eBay , and alumni of Stanford, Berkeley, and Booth .
The Role
As a Senior Data Engineer , you'll architect and build the critical data infrastructure that powers our intelligent platform. You'll own the orchestration layer connecting ad channels, website engagement data, and eCommerce platforms—ensuring data flows seamlessly, context is preserved, and insights drive action.
You'll work across the full data lifecycle—from ingestion and transformation to delivery and monitoring—while building scalable systems that serve our ML and product teams.
You'll join an existing data engineering team and collaborate closely with ML engineers, product teams, and customers to build reliable data pipelines that power real business outcomes.
Your Impact
- Build orchestration layers that manage data flows across the eCommerce ecosystem :
- Maintain context for intelligent summarization and action —design data models and systems that preserve business context, enabling the right insights at the right time for autonomous agents and human decision-makers
- Own end-to-end data engineering solutions using Airflow, Python, and GCP services—from design through deployment and monitoring
- Extend and optimize existing data infrastructure —work with current ingestion tools (Supermetrics) while building custom pipelines where needed
- Plan and execute future pipeline modernization —identify opportunities to improve scalability, reliability, and maintainability of existing systems
- Shape the future of data engineering at Out of the Blue by bringing ideas on automation, optimization, and best practices
What You Bring
5–8 years of experience building production data pipelinesStrong coding skills in Python with expert-level SQLExperience with workflow orchestration using Airflow or similar toolsHands-on experience with GCP (BigQuery, Cloud Storage, Dataflow, Pub / Sub, etc.)Understanding of data modeling for analytics and ML use casesPassion for code quality —you write maintainable, well-documented, testable codeNice to Have
Experience with eCommerce platforms (Shopify, BigCommerce) and their data modelsKnowledge of adtech / martech ecosystems —tracking pixels, attribution, ad platform APIsExperience with stream processing technologies (Kafka, Pub / Sub, Dataflow)Familiarity with agent-based approaches for data orchestration and quality monitoringUnderstanding of ML pipelines and feature engineering for production ML systemsExperience with data quality frameworks and observability tools (Great Expectations, Monte Carlo, etc.)Background in reverse ETL and data activation use casesWhy This Role?
You'll build critical infrastructure that powers revenue-generating insights for high-growth DTC brandsYou'll work on interesting orchestration challenges connecting advertising, analytics, and eCommerce dataYou'll have autonomy to shape technical direction while working with a supportive teamYou'll join a sharp, no-fluff team with direct customer access, clear velocity, and SF-based backingYou'll work on problems that blend data engineering with AI —building for the agentic futureTo Apply
Send your resume and 1–2 lines on what excites you about building next generation data pipelines systems to careers@outoftheblue.ai
Our values help us make decisions that determine how we achieve our goals. Our ideal candidate is someone who is very hands-on and passionate about solving problems and displays a strong sense of curiosity and ownership towards their work.