Data Engineer - L3 - USA

Position Overview

This role focuses on advanced data engineering – building and maintaining batch/streaming data pipelines, and providing L3 support including incident management and advanced debugging. Compensation: $120,000 – $140,000 per year.

Key Responsibilities

• Serve as L3 support: triage high-severity incidents, perform advanced debugging/root-cause analysis, deploy hotfixes, and create runbooks for L2 teams.
• Build and maintain batch/streaming data pipelines using ETL/ELT tools (dbt) to integrate and transform multi-source data.
• Implement data quality validation, monitoring, alerting, and documentation; optimize pipelines for performance, cost, and reliability (partitioning, indexing, error handling).
• Partner with analytics, data science, and business teams to deliver data requirements, troubleshoot issues, and ensure SLAs for freshness/completeness.

Required Qualifications

• 8–10+ years data engineering experience in building and supporting production pipelines at scale.
• Strong SQL, Python/Scala for data processing; data modeling (dimensional schemas, SCDs).
• Proven cloud data platform + orchestration experience (Snowflake/BigQuery + Airflow/dbt).
• L3 support experience: incident management, on-call rotations, debugging distributed data systems.