Associate, Data Engineer

The Associate, Data Engineer will join the Data & Analytics function within our Technology division, supporting our Venture and Growth businesses by designing and building scalable data infrastructure within Snowflake that powers sourcing, portfolio insights, performance tracking, artificial intelligence enablement, and advanced analytics across the platform. You will partner closely with investment professionals, Growth stakeholders, and cross-functional teams to deliver governed, high-quality, and reliable data systems that drive strategic decision-making.

• →Develop, optimize, and maintain efficient, cost-aware data models and data pipelines.
• →Build and manage workflows that ingest, transform, and consolidate internal and third-party data into Snowflake.
• →Lead data governance efforts, including data standards, ownership frameworks, lineage tracking, access controls, and data quality practices.
• →Oversee data quality monitoring, validation, reconciliation, and remediation across structured and unstructured datasets.
• →Design pipelines to process documents and other unstructured content for analytics and artificial intelligence use cases, including an internal knowledge base.
• →Partner closely with investment, Growth, finance, and operations teams to translate business needs into scalable technical solutions.
• →Optimize Snowflake performance, including warehouse sizing, workload management, query tuning, and cost governance best practices.

• 6+ years of experience in data engineering, analytics engineering, or related technical roles.
• Strong hands-on experience building scalable data infrastructure in Snowflake.
• Advanced skills in Structured Query Language, with a deep understanding of performance optimization and data modeling best practices.
• Strong Python experience for data processing, automation, and pipeline development.
• Experience building and maintaining cloud-based data workflows and orchestration systems.
• Experience implementing data governance frameworks and enterprise data quality standards.
• Experience working with structured and unstructured data, including third-party data sources.
• Familiarity with artificial intelligence tools and technologies is a plus. We value team members who are curious about leveraging artificial intelligence to enhance productivity and drive innovation.

We expect candidates to be fluent in using AI tools to enhance their work. You’re welcome to use AI in preparing your application where it adds value, but your materials must be accurate and reflect your own experience, judgement and voice.

We care most about how you think, what you’ve personally contributed, and how you use tools like AI to drive better outcomes. Strong candidates demonstrate both authenticity and leverage, using AI to elevate their work while maintaining clear ownership.

Throughout the interview process, you should be prepared to speak in depth about your experience and contributions in your own words.

We recognize that our people are our greatest strength, and the diverse skills and perspectives they contribute are integral to our success as a global organization. As an equal opportunity employer, we are deeply committed to fostering diversity and inclusion across our company. We do not tolerate discrimination based on any protected characteristic, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy, disability, or any other characteristic protected by law. Additionally, we provide reasonable accommodations to support applicants and employees with religious practices, mental health needs, physical disabilities, or other conditions requiring support.