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Junior Data Engineer
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Jobright.ai . The Los Angeles Dodgers Baseball Systems team is focused on building and maintaining technological platforms for baseball data and analysis. The Data Engineer will support data operations by implementing ETL services and ensuring data integrity across platforms. Responsibilities: Design, build, enhance, and support operations for the Dodgers R&D database schema and ETL layer Design, implement, review, and test data collection, storage, and mapping procedures Build and maintain computational environments for analytical modeling (statistics, machine learning, optimization) Apply statistical models for data quality testing and missing data imputation Write, optimize, and automate data processing tasks Build or integrate system and database monitoring tools Prioritize tasks within projects Mentor junior data engineers in implementation, software engineering, and baseball domain knowledge Perform other related duties as assigned Qualifications: Required: B.S. or M.S. in Computer Science, Computer Engineering, or related field 1+ years of data engineering experience Willingness to commute or travel for on-site work in Los Angeles SQL development skills and understanding of database technologies (PostgreSQL preferred) Experience with Python, Bash, and scripting languages Experience using Linux servers in virtualized environments Familiarity with cloud computing concepts (AWS, Kubernetes preferred) Excellent analytical and problem-solving skills Company: Los Angeles Dodgers, based in Los Angeles, California, founded in 1883, with 501-1000 employees. Currently in Late Stage. Seniority level
Entry level Employment type
Full-time Job function
Software Development Referrals can increase your chances of interviewing at Jobright.ai. Additional info:
Medical insurance, Vision insurance, 401(k). #J-18808-Ljbffr
Junior Data Engineer
role at
Jobright.ai . The Los Angeles Dodgers Baseball Systems team is focused on building and maintaining technological platforms for baseball data and analysis. The Data Engineer will support data operations by implementing ETL services and ensuring data integrity across platforms. Responsibilities: Design, build, enhance, and support operations for the Dodgers R&D database schema and ETL layer Design, implement, review, and test data collection, storage, and mapping procedures Build and maintain computational environments for analytical modeling (statistics, machine learning, optimization) Apply statistical models for data quality testing and missing data imputation Write, optimize, and automate data processing tasks Build or integrate system and database monitoring tools Prioritize tasks within projects Mentor junior data engineers in implementation, software engineering, and baseball domain knowledge Perform other related duties as assigned Qualifications: Required: B.S. or M.S. in Computer Science, Computer Engineering, or related field 1+ years of data engineering experience Willingness to commute or travel for on-site work in Los Angeles SQL development skills and understanding of database technologies (PostgreSQL preferred) Experience with Python, Bash, and scripting languages Experience using Linux servers in virtualized environments Familiarity with cloud computing concepts (AWS, Kubernetes preferred) Excellent analytical and problem-solving skills Company: Los Angeles Dodgers, based in Los Angeles, California, founded in 1883, with 501-1000 employees. Currently in Late Stage. Seniority level
Entry level Employment type
Full-time Job function
Software Development Referrals can increase your chances of interviewing at Jobright.ai. Additional info:
Medical insurance, Vision insurance, 401(k). #J-18808-Ljbffr