In this Role, You Will...
Build large-scale data pipelines and data entities, essential to efficient decision makingAssist in designing, building, and maintaining data pipelinesCollaborate with data scientists and analysts to improve data accessibilityParticipate in data quality assurance and validation processesAssist in optimizing database performance and structureHelp document data architectures and processesQualifications
Currently pursuing a Bachelor's or Master's in Software Engineering, Computer Science, Data Science, Information Technology, Applied Science or a related fieldProficient in SQL and one of the programming languagesFamiliar with Python data processing frameworksUnderstanding of Data Architecture and Data lake/warehouse conceptsFamiliar with data modelingFamiliar with Data ETL pipelines and orchestrationInterest in learning about how Data Engineering and Data Science can accelerate the development of the autonomy stackBonus Qualifications
Experience with big data technologies (e.g. Spark, Kafka)Familiar with Scala Familiarity with cloud platforms (AWS)Knowledge of data visualization tools (e.g., Looker)Understanding of machine learning conceptsPrevious internship or project experience in data-related fieldsCompensation
The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on role, degree level and type, and benefits will be offered based on eligibility. Additional benefits may include medical insurance, 401k, and a housing stipend.