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RPA Architect - Menlo Park, CA (Hybrid) - 12+ Months
TMS LLC
Menlo Park, CA
⦿ Hands-on experience with SQL, relational databases, and query optimization.
Added just now
Hiring | RPA Architect | 12+ Years | California Local Only | Independent Visa
TMS LLC
Menlo Park, CA
⦿ Hands-on experience with SQL, relational databases, and query optimization.
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Toll Brothers, Inc.

Data Analytics Engineer

Fort Washington, PA, United States

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Job details

Apply by: Nov 4, 2027
Experience: 3-5 years of experience in data engineering, analytics engineering, or a comparable data role
Posting language: English
Posted: Nov 4, 2026

Original job description

Overview

Join an award-winning company!

Who are we?

Since 1967, Toll Brothers has been building luxury homes and communities in the best locations in the U.S. Today, we’re a Fortune 500 company operating in over 60 markets. We’re the country’s premier luxury builder with the widest range of product offerings and price points in the industry, serving first-time, move-up, active-adult, and second-home buyers.

From the homes we build to the talent we recruit, we know that to be the best, we have to work with the best. Toll Brothers is a place where diverse perspectives and experiences are welcomed and where employees of all backgrounds are treated with fairness, dignity and respect. We believe every employee should feel safe to be their true and authentic self at work. Our employees are our family, and we strive to uphold the values that our founders instilled in us, creating an exceptional place to work that is inclusive to all.

Toll 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

Qualifications

Does 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!

Toll Brothers is committed to ensuring equal employment opportunity. All employment decisions, policies, and practices are in accordance with applicable federal, state, and local anti-discrimination laws. Toll Brothers will not engage in or tolerate unlawful discrimination (including any form of unlawful harassment) on account of a person's sex (including pregnancy), age, race, color, religion, national origin, ancestry, citizenship, physical or mental disability, sexual orientation, gender nonconformity, status as a transgender individual, gender identity, genetic information, marital status, family responsibility, armed services, or any other status protected by law.

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