Shadow

Technology

SeniorDataEngineer

$6000–10000k ~AI est. Pakistan FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Engineer at Shadow. Skills: Data pipelines, API integrations, Data reliability, Data modeling. Build ingestion layer. Scale ingestion layer”

Industry & Context.

Technology
Problems you'll solve

Root cause analysis; Troubleshooting; Data-driven decision making

What They're Looking For.

Must Have

Experience building enterprise data pipelines, Systems serving 1,000+ users, SQL and Python production experience, Modern data warehouse experience, Familiarity with ETL/ELT patterns, Familiarity with incremental sync, Familiarity with schema design, Familiarity with data modeling, Built integrations against third-party APIs, Experience with OAuth flows, Experience with pagination, Experience with rate limits, Experience with schema drift, Instrument pipelines, Experience building SOC 2 systems, Experience with enterprise security, Experience with enterprise privacy

Nice to Have

Martech experience, Adtech experience, Experience with ad platform data, Experience with ecommerce data, GCP experience, BigQuery experience, Cloud Run experience, PostgreSQL experience, pgvector experience, dbt experience, Airflow experience, Dagster experience, Pipeline observability experience, Tracing experience, AI/LLM context experience, Langfuse experience, Supporting data for AI agents, Supporting data for retrieval systems

What You'll Do.

Build ingestion layer

Scale ingestion layer

Handle API authentication

Handle API extraction

Handle incremental sync

Design normalization pipelines

Design transformation pipelines

Create shared schemas

Ensure data freshness

Build detection systems

Engineer for multi-tenant scale

Engineer for security

Build performant pipelines

Build cost-efficient pipelines

Ensure data isolation

Ensure data compliance

Expose well-modeled data

How You'll Work.

Team & Collaboration

AI teams; Data-science teams

Full Job Description

WHAT WE'RE BUILDING We're empowering small teams with technology that makes it easier to market and grow businesses. Our current focus is to help consumer brands shift from "workflow automation" to "agent management" within their marketing operations. Shadow is the AI coordination layer — providing shared AI memory, centralized agent control, and model orchestration for marketing teams. WHY JOIN SHADOW? - Product Ownership You'll ship production code daily and help steer key product and technical decisions. - Shape the Engineering Culture You'll influence how we work—tools, processes, standards, and hiring. - Work with Challenger Consumer Brands Talk directly to customers (CEOs, CMOs, VP's) of fast-growing consumer brands—some doing $80M–$500M in revenue. THE AGENCY BEHIND THE PRODUCT Shadow is built alongside Darkroom — a performance marketing agency that's been operating for 10 years, employs 100+ people, runs 100+ clients at a time, and has worked with over 1,000 consumer brands. The agency is both our proving ground and our first user, which means the data you build with is real marketing data at real volume from day one — not a synthetic demo. THE ROLE You own the pipelines that bring the world's marketing data into Shadow — and keep them fast, accurate, and reliable as we scale to thousands of users. Every brand connects its full stack (ad platforms, ecommerce, analytics, email/SMS), and you make that data land cleanly, normalize into shared schemas, and stay in sync. The agent is only as good as the data underneath it; that layer is yours. This is a hands-on, build-heavy engineering role for someone who has run large data systems before and wants to do it again in a smaller, faster environment. WHAT YOU'LL OWN - Build and scale the ingestion layer across third-party marketing APIs (Meta, Google, TikTok, GA4, Shopify, Klaviyo, and more) — auth, extraction, rate-limit handling, backfill, and incremental sync. - Design normalization and transformation pipelines

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