Junior Data Engineer — Cloud Pipelines & BI

Ledgent Technology; Los Angeles (CA); On-site; USD 105,000 - 115,000; Full time

Job summary

Ledgent Technology is seeking a Junior Data Engineer to join a growing data team focused on building, maintaining, and optimizing data pipelines. This role offers hands‑on experience with modern data technologies, mentorship from experienced engineers, and exposure to business intelligence and analytics initiatives.

The ideal candidate has 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

Qualifications

• 1 to 3 years of experience in data, analytics, or software engineering.
• Experience with cloud-based data platforms and reporting solutions.
• Strong organizational skills and attention to detail.
• Excellent written communication, especially in documentation.

Responsibilities

• Develop, test, and deploy ETL/ELT pipelines from multiple sources.
• Build and maintain integrations with external systems and APIs.
• Monitor pipelines, troubleshoot issues, and maintain reliability.
• Create and enhance BI dashboards and reporting assets.
• Ensure data quality through validation, testing, and monitoring.
• Contribute to data models and transformation workflows design.
• Respond to ad hoc data requests and reporting needs.
• Document data pipelines, workflows, and reporting artifacts.
• Participate in code reviews and promote best practices.
• Collaborate with stakeholders to define reporting requirements.

Skills

SQL

Python

Snowflake

Redshift

dbt

Git

Tableau

Power BI

Looker

Sigma

Communication

Analytical skills

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Information Systems, or related field

Tools

dbt

Apache Airflow

Job description

Ledgent Technology is seeking a Junior Data Engineer to join a growing data team focused on building, maintaining, and optimizing data pipelines. This role offers hands‑on experience with modern data technologies, mentorship from experienced engineers, and exposure to business intelligence and analytics initiatives.

The ideal candidate has 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