Senior Data Engineer, Remote – Snowflake & DBT Pipelines

Sedgwick; Carson City (NV); À distance; USD 111 000 - 200 000; Plein temps

Avantages offerts par ce poste

Medical insurance

Dental insurance

Vision insurance

401k with match

PTO

Disability insurance

Life insurance

Employee assistance program

FSA/HSA

Résumé du poste

Sedgwick is seeking a Sr. Data Engineer to design, build, and maintain scalable data pipelines across on-prem and cloud environments. You will shape semantic layers and support AI-ready data products using Snowflake, dbt, and Azure tools.

Join a global team delivering data solutions that empower decision-making and improve outcomes for clients. This role is remote with competitive benefits and opportunities for growth.

Qualifications

• Five (5)+ years of dedicated data engineering experience building production-grade data pipelines.
• Advanced hands-on experience with Snowflake architecture, performance tuning, and data sharing.
• Experience moving data across hybrid environments (on-prem to cloud) using batch, streaming, and event-driven patterns.
• Experience building/maintaining semantic layers for downstream AI or NLP tooling.

Responsabilités

• Designs, builds, and maintains scalable data pipelines supporting batch, real-time streaming, and event-driven data movement from on-premises and cloud sources.
• Serves as a core developer for the Snowflake data platform and supports platform performance, data modeling, and storage structures.
• Architects and builds transformation pipelines delivering high-quality data inputs to Snowflake and dbt AI features.
• Designs and maintains semantic layers and metadata models for Self-Service 2.0 NLP interfaces.
• Establishes reference architectures, reusable templates, and CI/CD practices enabling decentralized teams to build data products safely.
• Provides mentorship to one data engineer and guides analysts in improving engineering practices.
• Drives adoption of dbt for data transformation and evaluates Azure/AWS tools to optimize data flow.

Connaissances

Snowflake

Python

SQL

dbt

Azure Functions

Azure Data Factory

Stream Analytics

AWS data ecosystem

Data pipelines

Semantic layers

Formation

Bachelors in CS/IS/Data Eng

Equivalent combo of education/certs/experience

Outils

Snowflake

dbt

Azure Data Factory

Azure Functions

Stream Analytics

AWS Data Tools

dbt Cortex

Semantic Layer

Description du poste

Sedgwick is seeking a Sr. Data Engineer to design, build, and maintain scalable data pipelines across on-prem and cloud environments. You will shape semantic layers and support AI-ready data products using Snowflake, dbt, and Azure tools.

Join a global team delivering data solutions that empower decision-making and improve outcomes for clients. This role is remote with competitive benefits and opportunities for growth.