Senior Data Engineer – Orchestration Infrastructure

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 pipelines

• Strong coding skills

in Python with expert-level SQL

• Experience with workflow orchestration

using Airflow or similar tools

• Hands-on experience with GCP

(BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc.)

• Understanding of data modeling

for analytics and ML use cases

• Passion for code quality

—you write maintainable, well-documented, testable code

Nice to Have

• Experience with
  eCommerce platforms

(Shopify, BigCommerce) and their data models

• Knowledge of
  adtech/martech ecosystems

—tracking pixels, attribution, ad platform APIs

• Experience with
  stream processing

technologies (Kafka, Pub/Sub, Dataflow)

• Familiarity with
  agent-based approaches

for data orchestration and quality monitoring

• Understanding of
  ML pipelines and feature engineering

for production ML systems

• Experience with
  data quality frameworks and observability

tools (Great Expectations, Monte Carlo, etc.)

• Background in
  reverse ETL

and data activation use cases

Why This Role?

• You'll build
  critical infrastructure

that powers revenue-generating insights for high-growth DTC brands

• You'll work on
  interesting orchestration challenges

connecting advertising, analytics, and eCommerce data

• You'll have
  autonomy to shape technical direction

while working with a supportive team

• You'll join a
  sharp, no-fluff team

with direct customer access, clear velocity, and SF-based backing

• You'll work on problems that
  blend data engineering with AI

—building for the agentic future

To Apply

Send your resume and 1–2 lines on what excites you about building next generation data pipelines systems to

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.