Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
What You’ll Do:
Work closely with the Data Engineering team to support data pipeline development and data warehouse initiatives Learn and assist in implementing ETL processes and data modeling techniques Help maintain and improve data quality and documentation Participate in the development of data pipelines using modern data stack technologies Build data solutions leveraging AI and LLM to make data easy accessible to the team Support the team in data testing and validation processesWhat You Need:
Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Information Systems, or related field at an accredited university Basic understanding of SQL and database concepts Familiarity with Python programming Basic understanding of data structures and algorithms, AI and LLM Knowledge of basic statistical concepts Strong analytical and problem-solving skills Excellent communication and teamwork abilities Able to commit to a 10-week internshipPlease note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $23 - $28 per hour. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.