Staff Data Engineer I, NGSS Aura

WHAT MAKES US A GREAT PLACE TO WORK We are proud to be consistently recognized as one of the world's best places to work. We are currently the top ranked consulting firm on Glassdoor's Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don't happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally. WHO YOU'LL WORK WITH Bain's Next Generation Software Solutions (NGSS) team is responsible for discovering, building, scaling, supporting, and maintaining software products that enable Bain's intellectual property and consulting solutions. Within this broader team, you'll be embedded in Aura, Bain's proprietary global workforce data and analytics platform. Aura processes billions of data points across more than 20 million companies worldwide, delivering the kind of workforce intelligence that once took teams of analysts weeks to produce in a matter of minutes. WHERE YOU'LL FIT WITHIN THE TEAM As a Staff Data Engineer I, you'll be at the core of an autonomous AI system that powers high-stakes decisions for the world's top consulting firms, private equity funds, and Fortune 500 companies. You'll build the data infrastructure behind a category-defining product and play a key role in shaping Aura's data platform and engineering practices, own critical components of our data infrastructure, partner across Engineering, Product, and AI teams, and build a scalable foundation that powers analytics, machine learning, and product experiences. You'll contribute not only through implementation but also through architecture, operational excellence, and technical leadership.

Data Platform Architecture & Infrastructure Own the architecture, reliability, and scalability of Aura's data platform. Design, build, and maintain reliable and scalable data pipelines from raw ingestion to downstream analytics layers (including dashboards and ML features). Lead the development of new data infrastructure projects from scratch and own delivery through production. Optimize performance and cost across data workflows (e.g., query tuning, storage optimization). Engineering Excellence & Operational Support Establish and maintain data engineering best practices, including testing, documentation, and observability. Participate in operational support and continuous improvement of production data systems. Establish pipeline alerting and data quality monitors in DBT across the data stack. Triage and resolve inbound data questions from business and technical stakeholders, including data discrepancies, pipeline issues, and ad-hoc data requests. Cross-functional Collaboration & Technical Leadership Partner closely with Engineering, Product, Data Science, and AI teams to deliver scalable data solutions. Mentor engineers through code reviews and technical guidance.

Experience 5–8+ years of experience designing scalable data architecture.

Associate's/Bachelor's degree or an equivalent combination of education, training and experience. Knowledge, Skills & Abilities Strong understanding of software engineering best practices (testing, CI/CD, code reviews). Demonstrated ability to lead technical initiatives and collaborate across cross-functional teams. Advanced SQL skills and deep experience with modern data warehouses, especially Snowflake. Proficient in orchestration tools such as Airflow.