Staff Data Engineer

11 May 2024

Vacancy expired!

We’re looking for a Staff Data Engineer to join Procore’s Data Intelligence group. In this role, you’ll be a part of the data platform engineering team focused on building datamarts on the Procore Data Platform. The products and services that you build will support the data driven needs of many existing and forthcoming products of Procore.As a Staff Data Engineer, you’ll partner with data engineers, platform engineers and product leaders to create and support Procore Risk Advisors Underwriting product portfolio. Use your analytical, data modeling, pipeline development skills to create and enhance the core data driven decision making at Procore. Procore Risk Advisors is a burgeoning and high value organization at Procore that is bringing technology driven experiences for quick and secure experiences in the Insurance industry. Backed by the wealth of data and industry leadership of Procore, PRA is breaking new ground in how the construction industry perceives Insurance.This position reports into Senior Manager and will be based in remotely. We’re looking for someone to join us immediately.What you’ll do: Build the design and development of big data predictive analytics using object-oriented analysis, design and programming skills, and design patternsImplement ETL workflows for data matching, data cleansing, data integration, and managementMaintain existing data pipelines and develop new data pipeline using big data technologiesResponsible for leading the effort of continuously improving reliability, scalability, and stability of the enterprise data platformContribute to and lead the continuous improvement of the software development framework and processes by collaborating with Quality Assurance engineersReproduce, troubleshoot and determine the root cause of production issuesDeliver observable, reliable, and secure software, embracing the “you build it, you run it” mentality, and focus on automation and GitOpsParticipate 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, a similar technical field of study, or equivalent practical experience; MS or Ph.D. degree in Computer Science or a related field is preferred8+ years of experience in a Data Engineering positionStrong expertise with 2+ years of experience building enterprise techniques for large scale distributed system design and data processing including: Building streaming data pipelines using Kafka, Spark, or FlinkBuilding and maintain data warehouses in support of BI toolsBuilding data pipeline framework for data workflow to process large data sets and Real-Time & Batch Data Pipeline developmentExperience 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 devicesDesire to be actively hands-on with code using Java and Python (70-90%) along with willingness and passion for mentoring junior engineers and performing code reviewsPossess strong knowledge or familiarity with Apache Beam or AWS managed services for data (Glue, Athena, Data Pipeline, Flink, Spark) and SnowflakeDevelop data catalogs and data cleanliness to ensure clarity and correctness of key business metrics

  • ID: #49916172
  • State: Oregon Remote 00000 Remote USA
  • City: Remote
  • Salary: USD TBD TBD
  • Job type: Full-time
  • Showed: 2023-05-11
  • Deadline: 2023-07-10
  • Category: Et cetera