Sr. Data Engineer

Sedgwick; Nevada; On-site; USD 130,000 - 170,000; Full time

Job summary

Sedgwick is hiring a Senior Data Engineer to design, build, and maintain scalable data pipelines from on-premises to cloud sources, leveraging Snowflake, dbt, and related tools. You will architect semantic layers and reference templates to empower cross-functional teams with reliable data assets.

You will mentor one data engineer and collaborate with analytics, security, and platform teams to ensure robust data governance and scalable data product delivery.

Qualifications

• Bachelor’s degree in computer science, information systems, data engineering, or a related field preferred.
• Equivalent combination of education, 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 for batch, real-time streaming, and event-driven data movement from on-premises and cloud sources.
• Core developer for the Snowflake data platform, supporting performance, data modeling, and storage structures.
• Architects transformation pipelines delivering high-quality inputs to Snowflake and dbt AI features.
• Designs semantic layers and metadata models to support Self-Service 2.0 natural-language interfaces.
• Establishes reference architectures, reusable templates, and CI/CD practices for decentralized teams.
• Provides direct management and mentorship to one data engineer, with potential for team growth.
• Drives adoption of dbt for data transformation and evaluates Azure/AWS data tools to optimize data flow.

Skills

Python

SQL

Snowflake

dbt

Azure Functions

Data pipelines

Data modeling

Cloud environments

CI/CD

Education

Bachelor's degree in computer science, information systems, data engineering, or related field

Tools

Azure Data Factory

Azure Functions

Stream Analytics

dbt

AWS data services

Job description

By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies

Certified as a Great Place to Work®

Fortune Best Workplaces in Financial Services & Insurance

Sr. Data Engineer

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

• 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 that deliver high-quality data inputs to Snowflake and dbt AI features.
• Designs and maintains semantic layers and metadata models required to support Self-Service 2.0 natural-language user interfaces.
• Establishes reference architectures, reusable templates, and CI/CD best practices that enable decentralized line-of-business teams to build data products safely and consistently.
• Provides direct management and career mentorship to one data engineer, with potential for team growth, and guides decentralized data analysts in maturing their engineering practices.
• Drives adoption of dbt for data transformation and evaluates the integration of AWS and Azure cloud data tools, including Azure Data Factory, Azure Functions, and Stream Analytics, to optimize data flow.

ADDITIONAL FUNCTIONS and RESPONSIBILITIES

• Performs other duties as assigned.
• Supports the organization’s quality program(s).
• Travels as required.

SUPERVISORY RESPONSIBILITIES

• Provides direct management and career mentorship to one data engineer, with potential for the team to grow.

QUALIFICATIONS

Education & Licensing

Bachelor’s degree in computer science, information systems, data engineering, or a related field from an accredited college or university preferred.

Equivalent combination of education, professional certifications, and relevant work experience will be considered.

Experience

• Five (5)+ years of dedicated data engineering experience, with a proven record of building production-grade data pipelines, required.
• Advanced hands-on experience with Snowflake architecture, performance tuning, and data sharing required.
• Experience moving data across hybrid environments, including on-premises to cloud, using batch, streaming, and event-driven patterns required.
• Experience building or maintaining semantic layers and structuring data for downstream AI, large language model, or natural-language search capabilities preferred.

Skills & Knowledge

• Advanced knowledge of Snowflake architecture, performance tuning, data modeling, storage structures, and secure data sharing.
• Strong knowledge of scalable batch, real-time streaming, and event-driven data pipeline architecture.
• Experience with semantic layers, including dbt Semantic Layer and Snowflake Cortex or semantic definitions.
• Strong Python skills, particularly in cloud environments and Azure Functions used for data workloads.
• Strong SQL capabilities.
• Experience with dbt highly preferred.
• Experience with Azure data tools, including Azure Data Factory, Azure Functions, and Stream Analytics, preferred.
• Familiarity with AWS data ecosystems preferred.
• Knowledge of reference architecture, reusable pipeline patterns, templates, and CI/CD practices.
• Collaborative coaching and leadership skills, with the ability to teach, establish governance, and strengthen engineering practices across cross-functional teams.
• Strong analytical, problem-solving, organizational, and communication skills.
• Ability to meet or exceed performance competencies.

WORK ENVIRONMENT

When applicable and appropriate, consideration will be given to reasonable accommodations.

Mental:

Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines

Physical:

Computer keyboarding, travel as required

Auditory/Visual:

Hearing, vision and talking

Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.