Associate, Data Engineer

ICONIQ • San Francisco, CA

23h • $130,000 - $150,000 • Hybrid

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• Comprehensive Medical, Dental and Vision Insurance starting on your first day of employment.
• Life and disability insurance coverage as well as family and wellness benefits including mental health benefits, fertility benefits, and back-up childcare.
• A matching 401(k) program.
• Commuter Benefits program.
• Stipends to support wellness and hybrid working arrangements.
• We support employees who wish to pursue professional designations/certifications and offer tuition reimbursement in addition to an allocation for books and other supplies needed for an individual's coursework.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed