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채용ESPN (Disney)

Manager Data Engineering

ESPN (Disney)

Manager Data Engineering

ESPN (Disney)

glendale

·

On-site

·

Full-time

·

2mo ago

필수 스킬

SQL

AWS

Docker

Kubernetes

Airflow

Job Posting Title:

Manager Data Engineering:

Req ID:

10128529

Job Description:

This is not a remote role. You must be in the local area or open to relocation.

Manager, Data Engineering

The Walt Disney Company is a world leader in storytelling and innovation, spanning entertainment, technology, and experiences that inspire and delight audiences globally. At The Walt Disney Studios, we’re building next-generation data capabilities to power smarter decisions and scalable operations across film, television, and digital media. We’re seeking a Manager of Data Engineering to lead a team of skilled engineers focused on building scalable, modern data solutions. This role is ideal for a hands-on leader with deep expertise in data platforms, a strong architectural mindset, and a passion for delivering high-impact business value through data.

Key Responsibilities

  • Lead and mentor a data engineering team, ensuring high-quality delivery and technical excellence.
  • Translate business needs into scalable data solutions, aligned with the Studio’s data strategy.
  • Oversee the design and implementation of robust data architectures, pipelines, and models using tools such as Snowflake, Airflow, and dbt.
  • Establish and enforce best practices across data modeling, automation, deployment, support operations, and lifecycle management.
  • Partner with stakeholders to identify analytics opportunities, ensuring alignment with business goals and measurable outcomes.
  • Promote a data-driven culture by improving data access, usability, and governance across the organization.
  • Manage project planning, resource allocation, and team development to maximize impact and efficiency.
  • Stay current with industry trends and tools, continuously evolving the team’s capabilities.

Required Qualifications

  • Must have 8+ years of experience in Data Engineering, Analytics, or a related technical domain, including 3+ years of experience with team leadership.
  • Must have expertise in AWS, Snowflake, Airflow, dbt, and advanced SQL.
  • Must have strong experience in data modeling, ETL/ELT design, and modern data warehousing principles.
  • Proven track record of architecting and delivering enterprise-scale data solutions.
  • Familiarity with CI/CD processes and Agile methodologies.
  • Broad technical knowledge spanning data platforms, application development, infrastructure, and architecture.
  • Experience with multi-environment development (Dev/QA/Prod), code promotion workflows, and containerization (e.g., Docker, Kubernetes).
  • Demonstrated success leading high-performing engineering teams, fostering a culture of ownership, trust, and continuous improvement.
  • Ability to translate vision into execution, influence across technical and non-technical teams, and drive alignment with business priorities.
  • Strong communication and stakeholder management skills, with experience navigating complex, cross-functional environments.

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.

Optional Qualifications

  • Exposure to AI/ML tooling and deployment, including Snowflake Cortex or similar platforms.
  • Experience supporting ML Ops workflows or collaborating with data science teams to productionize models.
  • Familiarity with prompt engineering, model evaluation, or LLM integration is a plus.

#DISNEYTECH

The hiring range for this position in Glendale, CA is $171,600 to $230,010.00 per year. 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.

Job Posting Segment:

TWDSTECH

Job Posting Primary Business:

Technology-Slt Dlv Eng & Data Insights:

Primary Job Posting Category:

Data Engineering

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Glendale, CA, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2025-08-21

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

ESPN (Disney) 소개

ESPN (Disney)

The happiest place on earth.

1,001-5,000

직원 수

Bristol

본사 위치

리뷰

3.7

10개 리뷰

워라밸

2.8

보상

4.0

문화

3.8

커리어

2.5

경영진

2.5

65%

친구에게 추천

장점

Great benefits and competitive compensation

Supportive team and team spirit

Innovative and interesting projects

단점

Long hours and overwhelming workload

Work-life balance issues

High expectations and tight deadlines

연봉 정보

435개 데이터

Junior/L3

Mid/L4

Junior/L3 · Content Associate

78개 리포트

$54,118

총 연봉

기본급

$50,664

주식

-

보너스

$3,454

$37,430

$78,777

면접 경험

1개 면접

난이도

3.0

/ 5

소요 기간

14-28주

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience