OverviewToll Brothers, America's leading luxury home builder, seeks an
Data Analytics Engineer to join our team at our Corporate office in Fort Washington, Pennsylvania.
What is the opportunity?The Data Analytics Engineer is a member of the Enterprise Data & Analytics team, reporting to the Director, Data Strategy and Development. This role is responsible for building and maintaining pipelines, models, and data products that power reporting, analytics, and decision-making across Toll Brothers. Working within a modern cloud data ecosystem, including Fivetran, Coalesce, and Snowflake, the Data Analytics Engineer ensures trusted, scalable, and high-performing data solutions that support business operations.
This role partners directly with stakeholders across Sales, Marketing, Finance, Production, and other business units to translate business needs into technical solutions. Deliverables may include curated data models, interactive applications built with Streamlit or React, and AI-powered capabilities that make governed enterprise data more accessible and actionable.
What are the primary responsibilities?- Build and maintain ingestion pipelines in Fivetran to land source system data into Snowflake reliably and on schedule
- Develop custom Python and API based integrations for source systems not covered by managed connectors
- Develop and maintain transformation models in Coalesce Transform, applying dimensional and layered modeling patterns that support reporting and analytics at scale
- Document data assets, definitions, and lineage in Coalesce Catalog so business users can find and trust the data they use
- Design and tune Snowflake objects, including warehouses, roles, and storage patterns, for performance and cost efficiency
- Partner with business stakeholders across Sales, Marketing, Finance, Production, and other business
units to gather reporting requirements and translate them into scalable data models and metric definitions - Build data applications in Streamlit and React that put analytics and workflow tools directly in the hands of business users
- Apply AI and large language model capabilities to accelerate development, improve data quality checks, and enable natural language access to governed data
- Establish and enforce data quality testing, monitoring, and alerting across pipelines and models
- Partner with analysts and BI developers to ensure downstream dashboards are built on certified, well modeled data
- Contribute to data governance, security, and access control practices in coordination with the broader Technology Organization
- Troubleshoot pipeline and data issues, identify root causes, and implement durable fixes
- All other duties as assigned
QualificationsDoes this describe you?- Systematic thinker who maps dependencies, data flows, and failure modes before writing code
- Able to seamlessly shift between solving technical data challenges and partnering with business stakeholders.
- Able to translate business needs into clear data requirements and constructively challenge ambiguous or incomplete requests
- Curious about emerging technologies and eager to explore how AI can meaningfully improve data engineering and analytics.
- Communicates proactively about scope, priorities, tradeoffs, and blockers
- Demonstrates exceptional attention to detail and commitment to data accuracy
- Balances thoughtful design with pragmatic execution, delivering value iteratively rather than waiting for a perfect solution
- Shares knowledge openly and contributes to a collaborative, high-performing team
- Adapts well to shifting priorities and maintains momentum across concurrent projects
Do you have these qualifications?- Essential:
- 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
- Work in office 3-days per week. Additional in office days may vary per Division/Department.
- Preferred:
- Experience with Coalesce Transform and Coalesce Catalog specifically
- Experience building data applications in Streamlit
- Front-end development experience with React
- Demonstrated ability applying AI or large language model tooling to data engineering, data quality, or analytics use cases
- Experience with data governance, cataloging, and lineage practices in an enterprise environment
- Familiarity with homebuilding, real estate and construction
- Exposure to BI platforms such as Power BI or Tableau
We offer an excellent compensation and benefits package that includes comprehensive medical/dental, 401(k) with a company match, discounted stock purchase, discounts on mortgages, homes, and much more!
Come see why Toll Brothers has been attracting and retaining some of the best professionals in the industry!
APPLY ONLINE TODAY! 
