Senior Data Engineer — Scala, Spark & Snowflake Pipelines

Sedgwick; Montana City (MT); On-site; USD 111,000 - 200,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401k with match

PTO

Disability insurance

Life insurance

Flexible spending account

Job summary

Sedgwick is seeking a Sr. Data Engineer to design, build, and maintain scalable data pipelines across on-premises and cloud sources. You will serve as a core Snowflake developer, optimize performance, and model data for downstream AI and natural-language search capabilities.

Lead the governance of data products, mentor one data engineer, and collaborate with cross-functional teams to advance CI/CD practices and secure, scalable data sharing.

Qualifications

• Bachelor's degree in computer science, information systems, data engineering, or a related field preferred.
• Equivalent combination of education, professional certifications, and relevant work experience will be considered.
• 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.

Responsibilities

• Designs, builds, and maintains scalable data pipelines supporting batch, real-time streaming, and event-driven data movement from on-premises and cloud sources.
• Core developer for 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.
• Maintains semantic layers and metadata models to support Self-Service 2.0 interfaces.
• Establishes reference architectures, reusable templates, and CI/CD best practices for decentralized teams to build data products safely.
• Provides direct management and career mentorship to one data engineer, with potential for team growth.
• Drives adoption of dbt for data transformation and evaluates AWS and Azure tools to optimize data flow.

Skills

Snowflake architecture

Python

SQL

dbt

Azure Functions

Azure Data Factory

Stream Analytics

CI/CD

data pipelines

data modeling

semantic layers

team leadership

Education

Bachelor’s degree in computer science

Equivalent combination of education and experience

Tools

Snowflake

dbt

Azure Functions

Azure Data Factory

Stream Analytics

Job description

Sedgwick is seeking a Sr. Data Engineer to design, build, and maintain scalable data pipelines across on-premises and cloud sources. You will serve as a core Snowflake developer, optimize performance, and model data for downstream AI and natural-language search capabilities.

Lead the governance of data products, mentor one data engineer, and collaborate with cross-functional teams to advance CI/CD practices and secure, scalable data sharing.