Hiring: Jr. Data Engineer Company: Ledgent Technology Location: Los Angeles County, CA Job Posted Time: 2026-09-16 18:17:15 Employment Type: Internship Target Skills & Keywords : Airflow, Data Pipeline, Data Warehouse, ELT, ETL, Git, Python, REST, Redshift, SQL, Snowflake, dbt About the job Experience: •1 to 3 years of experience in data, analytics, or software engineering and is eager to deepen their expertise in cloud-based data platforms, data transformation, and reporting solutions. •1 to 3 years of experience in data engineering, analytics engineering, business intelligence, software engineering, or a related discipline. •3 years of experience in data, analytics, or software engineering and is eager to deepen their expertise in cloud-based data platforms, data transformation, and reporting solutions. •3 years of experience in data engineering, analytics engineering, business intelligence, software engineering, or a related discipline. Required Skills: •Develop, test, and deploy ETL/ELT pipelines to ingest, transform, and deliver data from a variety of sources. •Build and maintain integrations with external systems, APIs, and third-party platforms. •Monitor data pipelines, troubleshoot issues, and support ongoing system reliability and performance. •Create, maintain, and enhance business intelligence dashboards and reporting solutions. •Ensure data quality through validation, testing, and monitoring processes. •Contribute to the design and development of data models and transformation workflows. •Respond to ad hoc data requests and business reporting needs. •Create and maintain technical documentation for data pipelines, workflows, and reporting assets. Qualifications: •Exposure to workflow orchestration platforms such as Apache Airflow or similar technologies. •Operational familiarity with cloud services and data infrastructure. •Academic, internship, or professional experience in data modeling and database design. •Understanding of data governance, data quality, and best practices in analytics. •Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Information Systems, or a related quantitative field, or equivalent practical experience. •Demonstrated ability to learn new technologies and adapt in a fast-paced environment. •Strong organizational skills and attention to detail. •Excellent written communication skills, particularly in documentation and technical explanation. •SQL, Python, Snowflake, dbt, Git, BI/Visualization Tools, APIs, Cloud Data Platforms, ETL/ELT Tools. Compensation: •$105,000 - $115,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!