Senior Data Engineer — Snowflake, dbt & Cloud Pipelines

Sedgwick

Austin (TX)

On-site

USD 111,000 - 200,000

Full time

5 days ago
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Benefits offered by this job

Medical benefits
401k matching
PTO

Job summary

Sedgwick is seeking a Sr. Data Engineer to design, build, and optimize scalable data pipelines across on-prem and cloud sources, with a focus on Snowflake, dbt, and data modeling. You will mentor a data engineer, collaborate with cross-functional teams, and implement CI/CD practices to enable trusted data products for AI and analytics initiatives.

Strong Python, SQL, and cloud experience are required. This role offers growth opportunities and a comprehensive benefits package, with experience in

Qualifications

  • Bachelor’s degree in CS/IS/Data Eng or related field.
  • 5+ years of data engineering experience.
  • Advanced Snowflake performance tuning.
  • Experience moving data between on-prem and cloud (batch/stream).
  • Knowledge of semantic layers and AI data prep.
  • Strong Python and SQL skills; cloud experience.
  • Experience with dbt and Azure data tools.

Responsibilities

  • Designs, builds, and maintains scalable data pipelines for batch, real-time streaming, and event-driven data movement from on-prem and cloud sources.
  • Core developer for the Snowflake data platform; supports 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 for Self-Service 2.0 NLP interfaces.
  • Establishes reference architectures, reusable templates, and CI/CD best practices for decentralized teams.
  • Provides direct management and mentorship to one data engineer, guiding analysts in engineering practices.
  • Drives adoption of dbt for data transformation; evaluates AWS and Azure cloud tools to optimize data flow.

Skills

Python
SQL
Snowflake
dbt
Azure Functions
Leadership
Mentorship

Education

Bachelors in CS/IS/Data Eng

Tools

Snowflake
dbt
Azure Data Factory
Azure Functions
Stream Analytics

Job description

Sedgwick is seeking a Sr. Data Engineer to design, build, and optimize scalable data pipelines across on-prem and cloud sources, with a focus on Snowflake, dbt, and data modeling. You will mentor a data engineer, collaborate with cross-functional teams, and implement CI/CD practices to enable trusted data products for AI and analytics initiatives.

Strong Python, SQL, and cloud experience are required. This role offers growth opportunities and a comprehensive benefits package, with experience in

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