Data Engineer at Veev, By Lennar in Hayward, CA | USD120,000-150,000 | Kablio

Role

Description

etl pipelines

data warehouse

real-time ingestion

data governance

bi integration

ml forecasting

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.
Collaborate with IT/IS teams to define schemas, APIs, and integration approaches for new and existing systems.
Troubleshoot data-related issues and optimize the performance of queries and pipelines.
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.
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.
Support security and compliance standards, ensuring proper handling of sensitive and financial data.
Leverage machine learning and AI models to forecast business scenarios, predict operational trends, and support advanced planning use cases.
Continuously improve the scalability and resilience of Veev’s data infrastructure to match business growth.

Requirements

sql

python

spark

etl

ci/cd

bachelor's

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.
Familiarity with CI/CD pipelines and DevOps practices for data systems. Exposure to data governance, MDM (master data management), or data cataloging.
Strong problem-solving skills with attention to detail and performance optimization.
Excellent communication skills to translate technical complexity into a business context.
Experience integrating data from multiple systems such as ERP, CRM, or operational platforms.
Experience supporting digital transformation or large-scale enterprise reporting projects.
Experience with Python, Spark, or other data processing frameworks.
4+ years of experience in data engineering, ETL/ELT development, or database management.
Ability to work cross-functionally with IT/IS, BI, and business stakeholders to deliver scalable solutions.
Knowledge of ERP integrations (e.g., NetSuite, SAP, Oracle).
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.

Benefits

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

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

$75M Series B

Funding Round

Secured significant investment in 2020 through Lennar’s Len X arm.

$400M Valuation

Series D Boost

Achieved substantial valuation increase in 2022 with Series D funding.

50% Carbon Reduction

Embodied Carbon Cut

CNC-driven steel frames reduce environmental impact significantly.

90% Waste Reduction

Construction Efficiency

Advanced systems minimize material waste during construction.

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.

Culture + Values

Collaborative team culture
Results-driven approach
Continuous improvement mindset
Commitment to customer satisfaction
Innovation in real estate development

Environment + Sustainability

2040 Target

Net Zero Emissions

Aiming to reach net zero carbon emissions by 2040.

Focus on building sustainable, energy-efficient homes.
Use of advanced building technology to reduce carbon footprint.
Implementation of sustainable materials in construction.
Regular tracking and reporting of environmental impact metrics.

Inclusion & Diversity

Inclusive leadership team focused on diversity goals
Strong focus on gender equality in recruitment and development
Data-driven approach to track progress in diversity initiatives
Ongoing partnerships with organizations that promote workforce inclusion

Articles

Careers at Veev

Veev Projects

Veev's Technology

Role

Description

etl pipelines

data warehouse

real-time ingestion

data governance

bi integration

ml forecasting

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.
Collaborate with IT/IS teams to define schemas, APIs, and integration approaches for new and existing systems.
Troubleshoot data-related issues and optimize the performance of queries and pipelines.
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.
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.
Support security and compliance standards, ensuring proper handling of sensitive and financial data.
Leverage machine learning and AI models to forecast business scenarios, predict operational trends, and support advanced planning use cases.
Continuously improve the scalability and resilience of Veev’s data infrastructure to match business growth.

Requirements

sql

python

spark

etl

ci/cd

bachelor's

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.
Familiarity with CI/CD pipelines and DevOps practices for data systems. Exposure to data governance, MDM (master data management), or data cataloging.
Strong problem-solving skills with attention to detail and performance optimization.
Excellent communication skills to translate technical complexity into a business context.
Experience integrating data from multiple systems such as ERP, CRM, or operational platforms.
Experience supporting digital transformation or large-scale enterprise reporting projects.
Experience with Python, Spark, or other data processing frameworks.
4+ years of experience in data engineering, ETL/ELT development, or database management.
Ability to work cross-functionally with IT/IS, BI, and business stakeholders to deliver scalable solutions.
Knowledge of ERP integrations (e.g., NetSuite, SAP, Oracle).
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.

Benefits

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

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found