Junior Data Engineer - Lights On Support

Job Summary The Junior Data Engineer will support Lights On (production support) operations for data platforms and pipelines. This role is focused on incident investigation, break-fix activities, operational maintenance, routine data loads, and compliance/security support to ensure reliable day-to-day operation of data services. The position requires strong analytical skills, attention to detail, and the ability to work effectively in a production support environment. Key Responsibilities Triage and investigate data-related incidents, identify root causes, and assist senior engineers in implementing fixes. Support break-fix activities, production defect resolution, and ongoing system maintenance to ensure stable operations. Execute and validate routine data loads and inputs, ensuring accurate and timely processing. Assist with operational tasks related to user/access support as applicable to the service scope. Participate in system audits, testing activities, and security or vulnerability remediation tasks under guidance. Maintain runbooks, knowledge articles, and documentation for fixes and operational procedures. Provide clear handoffs across shifts and teams to ensure continuity of operations. Support special projects and mandates within the Lights On scope. Required Qualifications 3+ years of experience in data engineering, data operations, or ETL support roles (or strong internship/co-op equivalent). Ability to write and troubleshoot SQL queries for validation and investigation. Basic Python scripting skills for data checks and automation tasks. Familiarity with ETL concepts, batch processing, data quality checks, and troubleshooting failed jobs. Strong operational mindset with experience handling support queues, incidents, and defined processes. Strong problem-solving abilities and attention to detail. Good communication and collaboration skills. Preferred Qualifications Exposure to modern data platforms such as Databricks or Snowflake. Familiarity with orchestration tools used for data pipelines. Experience with ticketing/ITSM processes and production support best practices. Understanding of data governance concepts.