Job Description

What if you could use your technology skills to develop a product that impacts the way communities’ hospitals, homes, sports stadiums, and schools across the world are built? Construction impacts the lives of nearly everyone in the world, and yet it’s also one of the world’s least digitized industries. That’s why we’re looking for a talented Staff Data Engineer to join Procore’s journey to revolutionize a historically underserved industry.

As a Staff Data Engineer on Procore’s Enterprise Data Services team, you’ll design and develop big data predictive analytics data products. You’ll be part of the high-performance team of Data Engineers and contribute to designing, building, testing, scaling, and maintaining data pipelines from various source systems and streams (internal, third party, cloud-based, etc.), according to business and technical requirements.

This position will report to our Manager of Data Engineering, and will be based in our Austin, TX office. We’re looking for someone to join our team immediately.

What you’ll do: 

• Lead the design and development of big data predictive analytics using object-oriented analysis, design and programming skills, and design patterns 

• Implement ETL workflows for data matching, data cleansing, data integration, and management

• Maintain existing data pipelines and develop new data pipelines using big data technologies

• Develop and maintain tables and data models in SQL, abstracting multiple sources and historical data across varied schemas to a format suitable for further analysis

• Responsible for leading the effort of continuously improving reliability, scalability, and stability of the enterprise data platform 

• Contribute to and lead the continuous improvement of the software development framework and processes by collaborating with Quality Assurance engineers

• Reproduce, troubleshoot, and determine the root cause of production issues

• Deliver observable, reliable, and secure software, embracing the "you build it, you run it" mentality, and focus on automation and GitOps 

• Participate in daily standups, team meetings, sprint planning, and demo/retrospectives while working cross-functionality with other teams to drive the innovation of our products

What we’re looking for:  

• BS degree in Computer Science, Information Technology, Information Systems, Data Science / Data Analytics or a similar technical field of study, or equivalent practical experience
• 8+ years of experience in an Engineering position
• Strong expertise with 4+ years of experience building enterprise techniques for large scale distributed system design and data processing
• Building and maintain data warehouses in support of BI tools (Snowflake, Airflow, dbt, Tableau, FiveTran, Census)
• Building data pipeline framework for data workflow to process large data sets and real-time, streaming & batch data pipeline development
• Experience in processing structured and unstructured data into a form suitable for analysis and reporting with integration with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
• Desire to be actively hands-on with code; using Python and SQL along with willingness and passion for mentoring junior engineers and performing code reviews
• Possess familiarity with MWAA or AWS managed services for data
• Develop data catalogs and data cleanliness to ensure clarity and correctness of key business metrics

Qualifications