Senior Data Engineer (Snowflake, dbt, Azure)

About the role

Sedgwick is hiring a Senior Data Engineer for a telecommuting position in Texas. The role designs and maintains scalable data pipelines, acts as a core developer for the Snowflake platform, mentors one data engineer and helps decentralized data analysts improve their engineering practices.

Key responsibilities

• Design, build and maintain scalable data pipelines for batch, real-time streaming and event-driven data movement from on-premises and cloud sources.
• Serve as a core developer for Snowflake, supporting performance, data modeling and storage structures.
• Build transformation pipelines that feed high-quality data into Snowflake and dbt AI features.
• Design and maintain semantic layers and metadata models for self-service natural-language interfaces.
• Establish reference architectures, reusable templates and CI/CD best practices for decentralized data product teams.
• Mentor one data engineer directly and guide decentralized data analysts in maturing their engineering practices.
• Promote dbt adoption and evaluate Azure data tools such as Azure Data Factory, Azure Functions and Stream Analytics.
• Support the quality program, travel as required and perform other duties as assigned.

Required profile

• Bachelor's degree in computer science, information systems, data engineering or a related field preferred; equivalent education, certifications and experience considered.
• 5+ years of data engineering experience, with a proven record of building production-grade data pipelines.
• Advanced hands-on experience with Snowflake architecture, performance tuning and data sharing.
• Experience moving data between on-premises and cloud environments using batch, streaming and event-driven patterns.
• Preferred: experience with semantic layers and structuring data for downstream AI, LLM or natural-language search use cases.

Required skills

• Advanced Snowflake knowledge, including data modeling, storage structures and secure data sharing.
• Strong Python, SQL and dbt skills; dbt experience highly preferred.
• Preferred: Azure data tools (Azure Data Factory, Azure Functions, Stream Analytics) and AWS familiarity.
• Knowledge of reference architectures, reusable pipeline patterns and CI/CD practices.
• Coaching, leadership and strong analytical and communication skills.

What we offer

• Starting pay range of $110,956 to $199,720 USD per year, depending on experience and location.
• Benefits including medical, dental, vision, 401k and matching, PTO, disability and life insurance, and employee assistance.