PostgreSQL Database Engineer – AdTech Data Warehouse Implementation
Contract · Remote (US Only)
Approx. 15–25 hours per week (with potential to scale during implementation phases)
Project Overview
We are seeking an experienced PostgreSQL Database Engineer to implement a master-table data consolidation project for a multi-platform AdTech operation.
All architecture and design work is complete. You will be executing against comprehensive documentation (4,800+ lines) that includes:
Draft SQL queriesDDL scriptsStep-by-step implementation guidesDefined field mappings for master tablesThis is a hands-on implementation role focused on performance, data integrity, and scalability.
Current State
13 source tables across Google Ads, Facebook Ads, Amazon, Shopify, and user tracking~11.8M total rows, 262 columnsManual data ingestion (currently via Slack)Slow query performance (5–10 seconds due to complex joins)No unified product naming across systems
Target State
6 consolidated master tables spanning all platformsAutomated nightly ETL (no manual ingestion)Sub-second query performance (1s; 10–50x improvement)Unified product catalogMulti-touch attribution tracking capability
Technical Requirements
Must Have
5+ years PostgreSQL experience in production environmentsExpert-level SQL (complex JOINs, CTEs, window functions, JSONB)ETL pipeline experience (batch processing, incremental loads)Proven experience with large datasets (millions of rows, query optimization)Data integrity validation (QA, reconciliation, testing)AdTech or eCommerce data experience (Google Ads, Facebook, Amazon, Shopify)Must be a U.S. citizen (ITAR requirement)Strong Plus
Multi-platform data consolidation experienceAttribution modeling knowledge (first-touch, last-touch, multi-touch)Marketing analytics familiarity (ROAS, CPA, CAC, LTV)DBT (Data Build Tool) experienceAirflow or similar orchestration toolsNice to Have
Python for ETL scriptingExperience working with Shopify / Google Ads / Facebook APIsData warehouse modeling (Kimball, dimensional modeling)Advanced indexing and performance-tuning strategies
Time Commitment
15–25 hours per weekFlexible schedulePotential for increased hours during key implementation milestones
Apply Now
Apply Now
Approx. 15–25 hours per week (with potential to scale during implementation phases)
Project Overview
We are seeking an experienced PostgreSQL Database Engineer to implement a master-table data consolidation project for a multi-platform AdTech operation.
All architecture and design work is complete. You will be executing against comprehensive documentation (4,800+ lines) that includes:
Draft SQL queriesDDL scriptsStep-by-step implementation guidesDefined field mappings for master tablesThis is a hands-on implementation role focused on performance, data integrity, and scalability.
Current State
13 source tables across Google Ads, Facebook Ads, Amazon, Shopify, and user tracking~11.8M total rows, 262 columnsManual data ingestion (currently via Slack)Slow query performance (5–10 seconds due to complex joins)No unified product naming across systems
Target State
6 consolidated master tables spanning all platformsAutomated nightly ETL (no manual ingestion)Sub-second query performance (1s; 10–50x improvement)Unified product catalogMulti-touch attribution tracking capability
Technical Requirements
Must Have
5+ years PostgreSQL experience in production environmentsExpert-level SQL (complex JOINs, CTEs, window functions, JSONB)ETL pipeline experience (batch processing, incremental loads)Proven experience with large datasets (millions of rows, query optimization)Data integrity validation (QA, reconciliation, testing)AdTech or eCommerce data experience (Google Ads, Facebook, Amazon, Shopify)Must be a U.S. citizen (ITAR requirement)Strong Plus
Multi-platform data consolidation experienceAttribution modeling knowledge (first-touch, last-touch, multi-touch)Marketing analytics familiarity (ROAS, CPA, CAC, LTV)DBT (Data Build Tool) experienceAirflow or similar orchestration toolsNice to Have
Python for ETL scriptingExperience working with Shopify / Google Ads / Facebook APIsData warehouse modeling (Kimball, dimensional modeling)Advanced indexing and performance-tuning strategies
Time Commitment
15–25 hours per weekFlexible schedulePotential for increased hours during key implementation milestones
Apply Now
Apply Now