Data Warehouse Software Engineer

Babel Street is the trusted technology partner for the world’s most advanced identity intelligence and risk operations. We deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empower s government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage . The actionable insights we deliver safeguard lives and protect critical assets around the world . Babel Street is headquartered in Reston, Virginia , with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K. For more information, visit www. babelstreet.com . Job Description: We are looking for a motivated Software Engineer I to join our data team! In this role, you will help build, maintain, and support our core data warehouse solutions on Google Cloud Platform (GCP). You will collaborate closely with data analysts and business stakeholders to translate reporting requests into clean data models and Looker dashboards. This is an entry-level position perfect for a self-starter who possesses strong foundational SQL skills, an eye for business analysis, and sharp attention to detail. This would be a hybrid role out of our Somerville, MA office Data Pipelines & Modeling: Assist in building and maintaining data models and tables inside Google BigQuery. Help write and update foundational SQL transformation logic to support business analytics. Business Analysis & Collaboration: Partner with analysts and business stakeholders to understand their data and reporting needs, translating those requirements into clean, structured tables and views. Business Intelligence: Build, manage, and optimize Looker dashboards and reports, ensuring business users can easily access actionable data. Data Quality & Attention to Detail: Ensure data integrity and consistency across data marts by writing validation queries and row-count checks to catch discrepancies early. Pipeline Monitoring: Help monitor and maintain basic Apache Airflow (Cloud Composer) DAGs written in Python, ensuring daily data loads run smoothly. Performance Basics: Learn and apply standard query optimization techniques, including BigQuery partitioning and clustering best practices. Job Requirements: Foundational SQL Skills: Strong command of SQL (joins, aggregations, and familiarity with window functions). Data Warehouse Exposure: A solid conceptual understanding of relational databases, ETL/ELT concepts, and standard data warehousing structures (tables, views, and data lakes). BI / Looker Experience: Hands-on experience or academic exposure to building dashboards in Looker (or similar BI tools like Tableau/PowerBI). Basic Python & Git: Familiarity with Python for basic scripting/automation and comfort using Git for version control. The Mindset (Self-Starter): <span class=