Data Engineer II
Analytics
Big Data
Business Intelligence
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Integration Tools
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Database
Databases
Dataops
Dataops
Digital Marketing
ETL
Informatica
Information Technology (IT)
Reporting and Analytics
Software Development
SQL
Job Description
Disney Entertainment & Sports LLC is hiring a Data Engineer II to strengthen reliability and observability across critical data pipelines and deliverables.
Responsibilities
- Support on-call rotations as an Incident Commander to categorize and track real-time data incidents
- Coordinate with engineering resources to drive timely resolution of data incidents
- Contribute to problem management by analyzing root causes and ensuring follow-up work is prioritized with partner teams
- Help build a Data Reliability Observability Platform to quantify incident impact
- Assist with automating issue detection and tracking the overall health of data and data pipelines
- Partner with support and data quality teams to define success KPIs
- Ensure observability and automation coverage across pipelines
- Create dashboards and visualizations so teams can monitor data health
Requirements
- 3+ years of relevant data engineering experience
- Strong understanding of data modeling principles, including:
- Dimensional modeling
- Data normalization principles
- Experience with process engineering and continuous improvement
- Detailed problem-solving approach with a strong sense of drive and ownership
- Strong written and verbal communication skills, including presentation experience
- Comfort working in a fast-paced, highly collaborative environment
- Familiarity with Agile Scrum principles and ceremonies
- Bachelor’s degree in computer science, information systems, or related field, or equivalent work experience
Technologies
- Analytic SQL
- Snowflake
- Redshift
- Python
- PySpark
- Databricks/EMR/Spark
- Airflow
Preferred Qualifications
- 2+ years implementing and reporting on business key performance indicators in data warehousing environments
- Exposure to reliability engineering best practices (plus)
- 2+ years using analytic SQL with traditional relational databases and/or distributed systems (Snowflake or Redshift) required
- 1+ years programming languages (e.g., Python, PySpark) preferred
- Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow
Compensation and Location
- Location: New York, NY (onsite)
- Salary range: USD 106,900 - 150,100 per year
- NYC hiring range: $112,000 - $150,100 per year
- Santa Monica, CA hiring range: $106,900 - $143,300 per year
- Base pay offered may vary based on internal equity and geographic region, plus job-related knowledge, skills, and experience
- Bonus and/or long-term incentive units may be provided as part of compensation
- Benefits may include medical, financial, and/or other benefits, depending on the level and position offered
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