Data Engineer Intern

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, not to mention one of the most dangerous. That's why we're looking for a talented Data Engineer Intern to join Procore's journey to revolutionize a historically underserved industry.

As a Procore Data Engineer Intern, you will have the opportunity to work alongside the brightest minds in the industry to learn and deliver on key data initiatives in our Data Platform Team. Projects will be assigned in a way that leverages your strengths and helps you further develop your skillset. Your work will help solve some of the most complex technical challenges in the construction tech industry. The focus of this internship program will be on innovation, continuous learning and improvement, and dealing with real-world construction tech problems. In addition, you will get to network with fellow Procorians for professional and personal development.

Procore Internships are full-time (40 hours/week) for 12 consecutive weeks. This position will report to our Manager of Data Engineering, and can be based remotely from any US location.

What you’ll do:

• Participate in the design and development of data products for the Procore Data Platform
• Collaborate with Data Engineers, Platform engineers, Data Scientists, Business Intelligence Analysts, and Product leaders on data-related initiatives
• Participate in stakeholders meetings to gather business requirements and convert them into technical solutions
• Help design, implement, and deploy end-to-end data pipelines that collect data from different business systems using state-of-the-art technologies to drive key business decisions
• Understand and help monitor and troubleshoot data pipeline/data infrastructure-related issues
• Optimize existing data workflows to improve efficiencies in terms of cost and performance
• Document workflows and solutions in architectural diagrams and internal data catalog

What we’re looking for:

• Currently enrolled in a Master’s degree in Computer Science or a Data tech field of study
• 1+ year of experience in SQL and data analysis; 1+ year of experience in one or more scripting languages (Python, Javascript, Powershell)
• Knowledgeable in ETL, Data visualization concepts, and frameworks
• Ability to adapt and learn new tools and technologies used for data processing like- Python, dbt, Snowflake, AWS
• Familiarity with cloud technologies

Additional Information

Base Pay Range $25-$33. Eligible for Equity Compensation. Procore is committed to offering competitive, fair, and commensurate compensation, and has provided an estimated pay range for this role. Actual compensation will be based on a candidate’s job-related skills, experience, education or training, and location.

Perks & Benefits

At Procore, we invest in our employees and provide a full range of benefits and perks to help you grow and thrive. From generous paid time off and healthcare coverage to career enrichment and development programs, learn more details about what we offer and how we empower you to be your best.

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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