Data Engineer Intern

Primary Function of Position

Join our highenergy fastpaced Data Engineering team and help drive the future of surgical workflow and performance data in robotic surgery! As a Data Engineering Intern youll be handson in designing building and optimizing data platforms that power our advanced analytics and innovative product development. Youll work closely with our engineering data and product teams taking ownership of real projects that ensure data integrity security and accessibility.

Essential Job Duties

• Collaborate in the design deployment and operation of robust data architectures and solutions for capturing storing and utilizing structured and unstructured data from diverse sources.
• Support the creation of data pipelines and ETL processes to channel data from various inputs and store it across distributed (cloud) or local databases ensuring high standards of data integrity and security.
• Assist in building technical tools and programs that leverage AI machine learning and big data techniques to cleanse organize and transform data while maintaining and defending data structures.
• Contribute to developing microservices that ingest and process large amounts of log data through distributed systems.
• Participate in the design development and management of distributed ETL pipelines utilizing tools like Python Airflow Spark EMR Docker and Elasticsearch to integrate surgical data with business processes.
• Gain handson experience with our robotic systems including uploading and streaming event data video kinematics and other realtime data streams.
• Implement model testing validation and optimization in automated ETL and training pipelines to ensure data accuracy and system performance.
• Collaborate in integrating extensive databases (videos system data metadata) with advanced analytics and machine learning frameworks supporting teams in product development.

Qualifications :

University Hiring Program Eligibility Requirements:

• University Enrollment: Must be currently enrolled in and returning to an accredited degreeseeking academic program for at least 1 1/2 years (Spring 2027 grad or later) in the Fall.
• Internship Work Period: Must be available to work fulltime (approximately 40 hours per week) during a 1012 week period starting May or June. Specific start dates are shared during the recruiting process.

Required Skills and Experience

• Strong foundational skills in data engineering ETL and familiarity with tools like Jenkins dbt and Airflow.
• Strong coding skills in Python Scala and/or Java with an emphasis on clean maintainable and efficient code for data processing.
• Proficient in designing implementing and optimizing ETL/ELT pipelines using tools like Apache Airflow dbt and AWS Glue to support scalable data workflows.
• Basic knowledge of SQL and NoSQL databases (e.g. MySQL Postgres MongoDB) and timeseries databases (e.g. Druid Influx).
• Familiarity with AWS (EC2 S3 RDS Lambda EKS Kenesis Athena Glue DynamoDB Redshift IAM) and an interest in cloud infrastructure.
• Understanding of security protocols including SAML OAUTH JWT Token and SSO.
• Experience in orchestrating data workflows and ETL processes using AWS Data Pipeline or AWS Step Functions.
• Knowledge of interactive data preparation for cleaning and transforming data.
• Interest or experience in data analytics (dashboards insights) and tools like Tableau is a plus.
• Experience with or an interest in CI/CD pipelines and build tools like Jenkins CircleCI or GitLab.
• Deep knowledge of Apache Spark and Kafka for batch and realtime data processing at scale.

Required Education and Training

• Currently pursuing a degree in Computer Science Software/Computer Engineering Information Technology Data Science or a related field.

Preferred Skills and Experience  

• Basic knowledge of SQL and NoSQL databases (e.g. MySQL Postgres MongoDB) and timeseries databases (e.g. Druid Influx).
• Familiarity with AWS (EC2 S3 RDS Lambda EKS Kenesis Athena Glue DynamoDB Redshift IAM) and an interest in cloud infrastructure.
• Understanding of security protocols including SAML OAUTH JWT Token and SSO.
• Experience in orchestrating data workflows and ETL processes using AWS Data Pipeline or AWS Step Functions.
• Knowledge of interactive data preparation for cleaning and transforming data.
• Interest or experience in data analytics (dashboards insights) and tools like Tableau is a plus.
• Experience with or an interest in CI/CD pipelines and build tools like Jenkins CircleCI or GitLab.
• Deep knowledge of Apache Spark and Kafka for batch and realtime data processing at scale.

Additional Information :

Due to the nature of our business and the role please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID19.  Details can vary by role.

Intuitive is an Equal Employment Opportunity / Affirmative Action Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race sex pregnancy sexual orientation gender identity national origin color age religion protected veteran or disability status genetic information or any other status protected under federal state or local applicable laws.

EEO and AA Policy

We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.

We provide marketcompetitive compensation packages inclusive of base pay (paid at an hourly rate) benefits and a housing allowance. It would not be typical for someone to be hired at the top end of range for the role as actual pay will be determined based on several factors including relevant skills and experience for this internship degreeseeking academic program (PhD Masters Bachelors etc) year in school and location. The hourly rate is prorated against the intern program salaries listed and total program compensation will be based on internship duration.

Remote Work :

No

Employment Type :

Intern