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Data Engineering Winter 2027 Intern

Kodiak Robotics

Skills

Required

  • Data Engineering
  • BI tools / dashboarding frameworks / automated reporting factories
  • version control systems
  • AWS
  • QuickSight
  • cloud-based data platforms
  • ElasticSearch
  • Git
  • modern software development workflows
  • Kibana
  • visualization
  • Aurora DB

Preferred

  • automated data pipelines
  • cloud database infrastructure
  • infrastructure-as-code / automated data integration frameworks
  • modular dashboarding
  • streamline reporting and

Join our team as a Data Engineering Intern for Winter 2027. In this role, you will optimize and maintain data stores, design and build data pipelines, and explore reporting frameworks. This is a remote-friendly internship with a flexible end date. Benefits include a 401k, generous PTO policy, life insurance, and various medical plans. Ideal candidates should have experience with version control systems, BI tools, and cloud-based data platforms.

Optimizing and maintaining AuroraDB, ElasticSearch, and other data stores to ensure high availability, scalability, and performance for critical datasets.

Our ideal candidates exhibit a can-do attitude and approach their work with vigor and determination

Responsibilities

  • Designing, building, and maintaining robust data pipelines to facilitate the continuous development of the data platform, ensuring data cleanliness, reliability, and efficient ingestion.
  • Exploring, evaluating, and scaling QuickSight and modular dashboarding frameworks/factories to streamline reporting and surface actionable insights across the organization.

Requirements

  • Candidates will be expected to demonstrate excellence in their respective fields and possess the ability to learn quickly in a fast-paced environment
  • Experience with version control systems (e.g., Git) and modern software development workflows
  • Familiarity with BI tools, dashboarding frameworks, or automated reporting factories (e.g., AWS QuickSight, Kibana, or custom visualization frameworks)
  • Ability to take ownership and enjoy working collaboratively to deliver dependable data solutions
  • Experience or strong familiarity with cloud-based data platforms such as AWS Aurora DB and ElasticSearch, and building associated ETL/ELT pipelines
  • Pursuing a BS, MS, or PhD in Computer Science, Data Engineering, Statistics, or a related quantitative technical field
  • Strong working knowledge of relational and/or object database design, query optimization, and schema management
  • Thinking with a safety mindset and an interest in autonomous systems or robotics

Preferred

  • Hands-on internship or project experience building automated data pipelines or managing cloud database infrastructure
  • Familiarity with infrastructure-as-code or automated data integration frameworks