Data Engineer, AI

🕒 June 12

🥔 Idaho, Louisiana, +2 more states – Remote

🥔 Idaho – Remote ⚜️ Louisiana – Remote 🌾 Nebraska – Remote 🎸 Tennessee – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Sedgwick

WebsiteLinkedInAll Job Openings

10,000+ employees

🏢 Enterprise

📋 Compliance

Insurance • Enterprise • Compliance

Sedgwick is a global provider of technology-enabled risk, benefits, and integrated business solutions. They help people and organizations by managing and mitigating risk with solutions in accident, health, disability, unemployment compensation, and liability claims administration, among others. Sedgwick offers services such as claims administration, building consulting, forensic accounting, and forensic engineering. Their specialties include property restoration, brand protection, and loss prevention across several industries, including agriculture, construction, and environmental sectors. The company emphasizes diversity, equity, and inclusion (DEI) as well as environmental, social, and governance (ESG) practices.

📋 Description

• Design and implement robust ETL/ELT pipelines • Build and maintain Feature Stores and specialized datasets • Develop the data pipelines required for Generative AI • Act as the technical lead for our Snowflake data warehouse • Manage complex, cross-platform data workflows using Airflow, Step Functions, or Azure Data Factory • Partner directly with central IT, Database Administrators, and Security teams • Implement automated validation and observability layers • Drive the efficiency of our data stack by optimizing storage • Work as a dedicated engineering partner to MLOps and Data Science teams

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or a related field is required • 6+ years of hands-on data engineering experience • Expert-level proficiency in Snowflake architecture • Advanced, hands-on knowledge of AWS (S3, Glue, Lambda) and Azure (Data Factory, Synapse) • Mastery of Python, SQL, and PySpark • Proven ability to interface with "old world" tech (on-premise SQL, Mainframe extracts, flat files) • A strong understanding of the specific data needs for Machine Learning and Generative AI • A "get-it-done" attitude

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities