Data Engineer II - Reliability Ops

Job Summary :

The Data Engineer II will help us in the ongoing mission of delivering outstanding services to our users allowing Disney Entertainment to be more data-driven.

You will work closely with the senior members of our team to monitor and drive improvements for reliability and observability of critical data pipelines and deliverables.

This is a high-impact role where your work informs decisions affecting millions of consumers, with a direct tie to The Walt Disney Company’s revenue.

You will be making an outsized impact in an organization that values data as its top priority. We are a tight and driven team with big goals, so we seek people who are passionate about solving the toughest challenges and working at scale, using, supporting, and building distributed systems in a fast-paced collaborative team environment.

We also support a healthy work-life-balance.

Responsibilities

You will assist with on-call rotations as a Live-Ops Incident Commander to help categorize and track real time data incidents, loop in engineering resources as needed to ensure a timely resolution to data issues.

You will help drive our problem management process to ensure root cause of data incidents are analyzed and understood, and follow-up work is prioritized with our partner teams.

You will play a key role in our long-term Incident and Problem Management strategy by contributing to the development of a Data Reliability Observability Platform that will assist in programmatically quantifying incident impacts and send targeted communications to both data owners and consumers.

You will partner with our external support and data quality teams, defining success KPI’s, ensuring observability and automation coverage of our platform and help create dashboards and visualizations for teams to monitor the health of our data pipelines and platform.

Basic Qualifications

Bachelor’s Degree in computer science, information systems, or related field or equivalent work experience.

3+ years of relevant data engineering experience.

Good understanding of data modeling principles including Dimensional modeling, data normalization principles.

Experience with process engineering and continuous improvement.

Detailed problem-solving approach, coupled with a strong sense of drive and ownership.

Strong communication skills written and verbal presentations.

Comfortable working in a fast-paced and highly collaborative environment.

Familiarity with Agile Scrum principles and ceremonies

Preferred Qualifications

2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, exposure to reliability engineering best practices a plus.

2+ years of experience using analytic SQL, working with traditional relational databases and / or distributed systems (Snowflake or Redshift), required.

1+ years of experience programming languages (. Python, Pyspark), preferred.

Experience with Snowflake, Databricks / EMR / Spark, and / or Airflow.

The hiring range for this position in New York, NY or Seattle, WA is between $107,400 to $143,900, Los Angeles, CA is $102,500 to $137,500 year and in San Francisco is $112,300 to $150,500.

The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.

A bonus and / or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and / or other benefits, dependent on the level and position offered.