Data Engineer -L3 Support

Overview

On Site
Depends on Experience
Full Time

Skills

Python
Incident Management
ETL
Airflow

Job Details

Location - Los Angeles, CA - ONSITE from Day one

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 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.

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