Data Analytics Engineer

Role Overview

Join an award-winning company as a Data Analytics Engineer to build and maintain pipelines, models, and data products that power reporting, analytics, and decision-making across Toll Brothers. The role is responsible for ensuring trusted, scalable, and high-performing data solutions that support business operations.

What You Will Do

Build and maintain ingestion pipelines in Fivetran, develop custom Python and API based integrations, develop and maintain transformation models in Coalesce Transform, design and tune Snowflake objects, and build data applications in Streamlit and React.

Why It Might Be a Fit

The ideal candidate is a systematic thinker who maps dependencies, data flows, and failure modes before writing code, and can translate business needs into clear data requirements. They should be able to communicate proactively about scope, priorities, tradeoffs, and blockers, and demonstrate exceptional attention to detail and commitment to data accuracy.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Analytics, or a related field, or equivalent practical experience
• 3-5 years of experience in data engineering, analytics engineering, or a comparable data role
• Strong SQL skills
• Hands-on experience with Snowflake or a comparable cloud data warehouse
• Experience building and maintaining ELT pipelines with a managed ingestion tool such as Fivetran
• Experience with a modern transformation framework such as Coalesce Transform or dbt
• Demonstrated experience gathering reporting requirements directly from business stakeholders and delivering data solutions that meet the business needs
• Working knowledge of Python for data transformation, automation, and scripting
• Experience working with REST APIs to source and deliver data
• Experience with version control and code review practices in a team setting

Benefits

• Comprehensive medical/dental
• 401(k) with a company match
• Discounted stock purchase
• Discounts on mortgages, homes, and much more

Tagged as: Data Analysis