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Staff Data Engineer

Job not on LinkedIn

🕒 May 20

🗽 New York – Remote

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💵 $155k - $195k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 53%

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Logo of Sixfold

Sixfold

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

💳 Fintech

🛡️ Insurance

💰 Series A on 2024-06

Artificial Intelligence • Fintech • Insurance

Sixfold is a risk assessment AI solution built exclusively for insurance underwriters. The platform enhances underwriting efficiency, accuracy, and transparency for insurers, managing general agents (MGAs), and reinsurers. By ingesting underwriting guidelines and extracting relevant risk data, it provides tailored recommendations to improve decision-making in the underwriting process.

📋 Description

• Lead data platform strategy and execution in partnership with the CDAO • Translate data strategy into engineering roadmaps with clear owners, timelines, and outcomes • Make consequential architectural decisions for the data platform • Own the Snowflake data lake end to end, from ingestion to serving • Develop, maintain, and evolve the data platform and associated services • Architect data models and patterns supporting analytics, AI/ML pipelines, and customer-facing products • Design and operate pipelines for data quality, lineage, access control, and regulatory requirements • Drive cross-functional data initiatives with platform engineering, AI, and product teams • Complete orientation into the Snowflake platform, data models, and governance infrastructure within 30 days • Make meaningful platform contributions and begin executing improvements within 60 days • Own a substantive governance, data-model, or cross-functional initiative end to end within 90 days

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field • 7+ years of data engineering experience, including senior or lead scope with real architectural ownership • Deep and current Snowflake expertise, including dynamic tables, Openflow, replication, masking and row access policies, performance tuning, and Snowflake Intelligence • Expertise in SQL and Python • Practical use of generative AI in building and problem-solving • Experience working in insurance, ideally at a P&C carrier, MGA, reinsurer, or insurtech • Understanding of insurance data terminology, including submissions, policy, exposure, and claims • Experience leading architecture decisions and influencing engineers and non-engineers • Experience working within AI/ML governance frameworks • Understanding of GDPR and CCPA regulatory requirements for data storage, access, and movement • Position does not include visa sponsorship

🏖️ Benefits

• Equity • Comprehensive benefits • 401(k) with employer match • Parental leave • Unlimited PTO • Birthday off • Competitive salary • Continuous growth and learning opportunities • Supportive and inclusive workplace culture • Reasonable accommodations throughout the recruitment process

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