Data Engineer

Overview

Design and maintain ETL pipelines, data warehouses, and reporting systems for Veev.

Key Responsibilities

• ml forecasting
• etl pipelines
• data warehouse
• data governance
• bi integration
• real-time ingestion

Tasks

-Leverage machine learning and AI models to forecast business scenarios, predict operational trends, and support advanced planning use cases. -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. -Support security and compliance standards, ensuring proper handling of sensitive and financial data. -Partner with BI developers and analysts to deliver clean, structured datasets for dashboards and reporting tools (e.g., Tableau, Power BI, Superset). -Troubleshoot data-related issues and optimize the performance of queries and pipelines. -Collaborate with IT/IS teams to define schemas, APIs, and integration approaches for new and existing systems. -Continuously improve the scalability and resilience of Veev’s data infrastructure to match business growth. -Automate workflows and data ingestion processes to ensure real-time or near-real-time data availability. -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.

Requirements

• sql
• python
• spark
• ci/cd
• data modeling
• etl

What You Bring

-Strong problem-solving skills with attention to detail and performance optimization. -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. -Experience integrating data from multiple systems such as ERP, CRM, or operational platforms. -Proven expertise in SQL, Python, or similar languages for building and maintaining data pipelines. -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. -Knowledge of ERP integrations (e.g., NetSuite, SAP, Oracle). -Excellent communication skills to translate technical complexity into a business context. -Ability to work cross-functionally with IT/IS, BI, and business stakeholders to deliver scalable solutions. -Experience with Python, Spark, or other data processing frameworks. -Strong knowledge of data modeling, warehousing, and governance frameworks to support reliable reporting and analytics.

People Also Searched For

Benefits

-Health benefits, including medical, dental, and vision insurance -401(k) with matching contributions -Growth & Development Opportunities -Paid vacations, sick, and holidays -Subsidized EV charging and commuter shuttles (some HQ locations) -Pre-tax Commuter Account

About Veev, By Lennar

-Began as a startup reimagining homes as consumer products through factory-built wall systems. -Proprietary platform integrates MEP and structural components for faster construction (up to four times faster than traditional methods). -Lennar fully acquired its assets in late 2023 and embedded its technology into large-scale projects. -Applications include single-family, multifamily homes, and accessory dwelling units using closed-panel systems. -Early pilot for 102 panelized townhomes faced challenges related to weight and logistics. -Operates as part of Lennar’s national build-outs, with manufacturing roots in California and R&D links to Israel.

Sector Specialisms