Sr Software Engineer

Disney Disney · Media · Glendale, CA +2

Seeking a Senior Software Engineer to join the Content Platform Data Engineering team, focusing on building and enhancing platform capabilities with an emphasis on supporting the existing Datawarehouse. The role involves building scalable data pipelines and data models for analytics, downstream applications, and operational workflows, working with product managers and cross-functional partners to ensure data accuracy and accessibility. The engineer will leverage software engineering principles and cloud infrastructure to build robust services for autonomous workflows at scale.

What you'd actually do

  1. Design, write, test, and deploy high-quality code to develop reliable, maintainable data solutions.
  2. Work closely with platform engineers, product teams, and stakeholders to ensure technical solutions effectively support business goals and content strategies.
  3. Monitor and optimize production systems, ensuring platform stability, performance, and uptime.
  4. Provide technical guidance and mentorship to junior engineers, fostering a culture of collaboration and continuous learning.

Skills

Required

  • data engineering
  • data architecture
  • production data pipelines
  • data platforms
  • event streaming systems
  • Kafka
  • Snowflake
  • Databricks
  • ETL/ELT pipelines
  • AWS Glue
  • AWS Lambda
  • Apache Airflow
  • data modeling
  • SQL
  • cloud architecture
  • cloud infrastructure
  • CI/CD pipelines
  • full-lifecycle application development
  • unit testing
  • code reviews
  • documentation
  • Agile/Scrum
  • communication skills

Nice to have

  • cloud-based data platforms
  • data lakes
  • data warehouses
  • managed data services
  • streaming data processing
  • batch data processing
  • data quality
  • data governance
  • observability practices
  • analytics
  • reporting
  • AI driven solutions integration
  • media technology
  • content distribution
  • media supply chain

What the JD emphasized

  • 5+ years of relevant industry experience in data engineering or architecture.
  • Proven track record of building and supporting production data pipelines and data platforms.
  • Extensive experience with event streaming systems (e.g., Kafka) and data store technologies like Snowflake and Databricks.
  • Proficiency with ETL/ELT pipelines and orchestration tools such as AWS Glue, AWS Lambda, and Apache Airflow.
  • Deep understanding of data modeling concepts and robust SQL development.
  • Expertise in designing scalable, cost-effective cloud architecture and infrastructure.
  • Hands-on experience building and maintaining automated CI/CD pipelines.
  • Full-lifecycle application development experience, including unit testing, code reviews, and documentation.