Staff Data Engineer

Company Description

Job Description

We’re looking for a Staff Data Engineer to join Procore’s Data Division. In this role, you’ll help build Procore’s next-generation construction data platform for others to build upon including Procore developers, analysts, partners, and customers. 

As a Staff Data Engineer, you’ll partner with other engineers and product managers across Product & Technology to develop data platform capabilities that enable the movement, transformation, and retrieval of data for use in analytics, machine learning, and service integration. To be successful in this role, you’re passionate about distributed systems including storage, streaming, and batch data processing technologies on the cloud, with a strong bias for action and outcomes. If you’re a seasoned data engineer comfortable and excited about building our next-generation data platform and translating problems into pragmatic solutions that open up the boundaries of technical possibilities—we’d love to hear from you!

This is a full-time position and will report to our Senior Manager of Software Engineering and will be based in the India office, but employees can choose to work remotely. We are looking for someone to join our team immediately.

What you’ll do: 

• Participate in the design and implementation of our next-generation data platform for the construction industry
• Define and implement operational and dimensional data models and transformation pipelines to support reporting and analytics
• Actively participate with our engineering team in all phases of the software development lifecycle, including requirements gathering, functional and technical design, development, testing and roll-out, and support
• Understand our current data models and infrastructure, proactively identify areas for improvement, and prescribe architectural recommendations with a focus on performance and accessibility. 
• Work alongside our Product, UX, and IT teams, leveraging your expertise in the data space to influence our product roadmap, developing innovative solutions that add additional value to our platform
• Help uplevel teammates by conducting code reviews, providing mentorship, pairing, and training opportunities
• Stay up to date with the latest data technology trends

What we’re looking for: 

• Bachelor’s Degree in Computer Science or a related field is preferred, or comparable work experience 
• 8+ years of experience building and operating cloud-based, highly available, and scalable data platforms and pipelines supporting vast amounts of data for reporting and analytics
• 2+ years of experience building data warehouses in Snowflake or Redshift
• Hands-on experience with MPP query engines like Snowflake, Presto, Dremio, and Spark SQL
• Expertise in relational, dimensional data modeling.
• Understanding of data access patterns, streaming technology, data validation, performance optimization, and cost optimization
• Strength in commonly used data technologies and languages such as Python, Java or Scala, Kafka, Spark, Flink, Airflow, Kubernetes, or similar
• Strong passion for learning, always open to new technologies and ideas

Qualifications

Additional Information

About Us

Procore Technologies is building the software that builds the world. We provide cloud-based construction management software that helps clients more efficiently build skyscrapers, hospitals, retail centers, airports, housing complexes, and more. At Procore, we have worked hard to create and maintain a culture where you can own your work and are encouraged and given resources to try new ideas. Check us out on Glassdoor to see what others are saying about working at Procore.

We are an equal-opportunity employer and welcome builders of all backgrounds. We thrive in a diverse, dynamic, and inclusive environment. We do not tolerate discrimination against employees on the basis of age, color, disability, gender, gender identity or expression, marital status, national origin, political affiliation, race, religion, sexual orientation, veteran status, or any other classification protected by law.

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