Associate Data Engineer
About The Position
Cosm is a global technology company that brings experiences to life in immersive environments. We help our partners create spaces and content that blur the lines of real and virtual across three primary markets: Sports and Entertainment, Science and Education, and Parks and Attractions. Cosm was born from the fusion of some of the greatest innovators in the history of technology. Evans & Sutherland, Spitz, Inc., and Cosm Immersive combined forces to power the immersive experiences of the future as Cosm. Innovation is in our DNA. IMPORTANT NOTICE FROM THE COSM HUMAN RESOURCES & RECRUITING TEAM REGARDING A RECRUITING SCAM: Your security and trust matter to us. Please note that Cosm Recruiters will ALWAYS communicate with you from an official "@Cosm.com" email address or through authorized platforms such as LinkedIn. We will NEVER request payments, banking details, or personal financial information during the recruitment process. If you receive a suspicious communication or job offer claiming to be from Cosm, please do not respond or share personal information. For official Cosm opportunities, always visit www.cosm.com/careers. Summary: We are looking for an Associate Data Engineer to join our team at Cosm. The successful candidate will be responsible for building and managing data pipelines that power business operations for Cosm Venues. The candidate will use our data platform, built on Databricks and AWS, to implement incremental data flows and efficiently join and transform both internal and external data sources. The ideal candidate will have experience using industry-standard tools and a strong drive to learn new techniques. We expect all our engineers and managers to be versatile, display leadership qualities, and be enthusiastic when taking on new problems as we launch our venues and push technology to new heights.
Requirements
- Bachelor's in Computer Science, Information Technology, or a related field, or relevant work experience.
- 0-2 years developing data systems
- Experience with critical systems that have significant impact on business operations
- Expertise in Apache Spark, specifically the DataFrame API. We use both the Python and SQL interfaces
- Knowledge of incremental data flow or Medallion Architecture
- Exposure to Databricks Platform, including its integration with AWS infrastructure
- Demonstrated drive to learn new concepts
Nice To Haves
- Past work with a Product Analytics tool (i.e., PostHog, Mixpanel, etc.) is a plus
Responsibilities
- Build and manage incremental, near real-time data pipelines
- Work with data users, analysts, and other consumers to deliver accurate, timely datasets
- Work on end to end integration with internal and external data sources and consumers
- Ensure the data team is following best practices while building our data catalog, including code maintainability, data quality, and documentation
- Learn and apply state of the art techniques for managing complex workflows, like incremental data flow
- Foster a data driven culture by bringing your unique perspective to a dynamic work environment
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
