Data Engineer at Veev
Hayward, CA 94545, USA -
Full Time


Start Date

Immediate

Expiry Date

06 Dec, 25

Salary

150000.0

Posted On

07 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Crm, Digital Transformation, Spark, Analytics, Sap, Data Systems, Sql, Data Modeling, Python, Information Systems, Communication Skills, Data Engineering, Data Governance, Computer Science

Industry

Information Technology/IT

Description

ABOUT VEEV

Veev is leading the transformation of the construction industry with an innovative approach to modular home construction. Veev’s prefabricated closed-panel systems allow homes to be assembled efficiently on-site while delivering a more sustainable and higher-quality final product than traditional construction. As a new subsidiary of Lennar, Veev leverages the strength and scale of its parent company while maintaining the speed and disruptive approach of its roots as a Silicon Valley-based startup. Veev has developed a vertically integrated approach that involves multidisciplinary collaboration across real estate, design, development, engineering, manufacturing, and construction.
This role is critical to Veev’s mission of transforming the construction industry with modern, sustainable, and efficient construction techniques. As a Data Engineer, you will directly enable efficiency, scalability, and data-driven decision-making by designing, building, and maintaining reliable data pipelines and centralized reporting systems. Your work will provide the trusted data foundation that empowers Veev to scale operations, improve sustainability, and drive industry-wide change through actionable insights and advanced forecasting.

MUST-HAVE SKILLS AND COMPETENCIES

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
  • 4+ years of experience in data engineering, ETL/ELT development, or database management.
  • Proven expertise in SQL, Python, or similar languages for building and maintaining data pipelines.
  • Strong knowledge of data modeling, warehousing, and governance frameworks to support reliable reporting and analytics.
  • Experience integrating data from multiple systems such as ERP, CRM, or operational platforms.
  • Ability to work cross-functionally with IT/IS, BI, and business stakeholders to deliver scalable solutions.
  • Strong problem-solving skills with attention to detail and performance optimization.
  • Excellent communication skills to translate technical complexity into a business context.

NICE-TO-HAVE SKILLS AND COMPETENCIES

  • Experience with Python, Spark, or other data processing frameworks.
  • Knowledge of ERP integrations (e.g., NetSuite, SAP, Oracle).
  • Familiarity with CI/CD pipelines and DevOps practices for data systems.Exposure to data governance, MDM (master data management), or data cataloging.
  • Experience supporting digital transformation or large-scale enterprise reporting projects.

How To Apply:

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Responsibilities

THE ROLE

As a Data Engineer at Veev, you will play a critical role in enabling the company’s Business and Operational Dashboard initiative by designing, building, and maintaining the data infrastructure that powers organizational insights. You will ensure data pipelines are reliable, scalable, and secure—serving as the backbone for decision-making across executive leadership, operations, finance, and technology teams.
Working closely with the Program Manager, Business Analyst, and IT/IS teams, you will own the technical execution that ensures clean, automated, and efficient data flows from multiple systems (ERP, BI, operational platforms) into a centralized, trusted database.

RESPONSIBILITIES

  • Design, develop, and maintain robust ETL/ELT pipelines to integrate data from ERP, CRM, manufacturing, and operational systems.Build and optimize databases and data warehouses (e.g., Snowflake, SQL, or similar) to support enterprise reporting and advanced analytics.
  • Enable centralized reporting by structuring core datasets for use in executive dashboards, QBR reports, and board-level presentations.Ensure data quality and governance by implementing monitoring, validation, and alerting systems for data integrity.
  • Partner with BI developers and analysts to deliver clean, structured datasets for dashboards and reporting tools (e.g., Tableau, Power BI, Superset).
  • Automate workflows and data ingestion processes to ensure real-time or near-real-time data availability.
  • Collaborate with IT/IS teams to define schemas, APIs, and integration approaches for new and existing systems.
  • Leverage machine learning and AI models to forecast business scenarios, predict operational trends, and support advanced planning use cases.
  • Troubleshoot data-related issues and optimize the performance of queries and pipelines.
  • Support security and compliance standards, ensuring proper handling of sensitive and financial data.
  • Continuously improve the scalability and resilience of Veev’s data infrastructure to match business growth.
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