Data Engineer

Required Skills & Experience

Strong PostgreSQL and SQL experience Hands-on Python development Strong knowledge of data modeling, schema design, and database optimization Experience with ETL/data pipelines and large-scale data migrations Experience analyzing and improving existing data architectures Ability to work within aggressive delivery timelines Google Cloud Platform (GCP) BigQuery Dataflow

Nice to Have Skills & Experience

API/data integration experience Experience supporting analytics or reporting applications Experience with large historical data migrations Familiarity with React applications Located in Atlanta, GA or Austin,Texas Pub/Sub Streaming and messaging technologies Cloud Composer / Airflow AI-assisted development tools (Gemini, Copilot, etc.) Infrastructure as Code / Terraform Experience building data products for analytics, reporting, or customer-facing use cases.

Job Description

We’re looking for a hands-on Data Engineer to support a Branded Content platform and the data powering its Metrics Dashboard. This person will analyze and optimize the current PostgreSQL environment, improve the underlying data model, and help scale the platform to support both internal users and external suppliers.

A major focus will be restructuring existing data, migrating pipelines to a new internal data model/API, and completing a large historical data migration within a single quarter.

Assess and optimize existing PostgreSQL database structures and SQL queries Redesign data models and table structures for scalability and reporting Develop and enhance Python-based data pipelines and migration processes Support migration to the Egress API and Contribution Model Transition reporting from a single brand ID to a broader reporting-brand structure Migrate, validate, and integrate historical brand-page data Partner with application and data teams to ensure data quality and reliability Help build a scalable data foundation for external supplier reporting

Pay Rate: $55-59/HR USD