Full-Time

Lead Software Engineer

Confirmed live in the last 24 hours

The Walt Disney Company

The Walt Disney Company

10,001+ employees

Leading producers & providers of entertainment and information

Compensation Overview

$159.5k - $213.9kAnnually

+ Bonus + Long-term Incentive Units

Senior, Expert

Seattle, WA, USA + 2 more

More locations: Bristol, CT, USA | Burbank, CA, USA

Hiring range for Seattle, WA is $159,500 to $213,900 per year.

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
Agile
JavaScript
Data Science
SQL
Docker
SCRUM
Snowflake
Requirements
  • Bachelor's degree or higher in Computer Science, Information Science, or a relevant field.
  • 7+ years of experience in a Software Engineering discipline.
  • Experience in technical leadership or management.
  • Experience working with the Snowflake data warehouse or similar.
  • Experience with big data processing ETL or ELT technologies (especially Glue, Step Functions, ECS, Docker, CloudWatch, S3, SNS, SQS, etc.).
  • Experience in Database design, development, testing, upgrading, and migration of OLAP and OLTP systems.
  • Experience and proficiency with SQL, and JavaScript.
  • Experience in dimensional modeling, design and development of star schemas, normalization techniques, role-based security and account provisioning, modeling techniques.
  • Familiarity with version control systems, CI/CD practices, testing
  • Experience working in an agile/scrum team environment.
Responsibilities
  • Provide technical leadership.
  • Lead the design of solutions within the team to deliver on business and user requirements.
  • Contribute to code writing, development, and testing while providing leadership towards the completion of solutions.
  • Mentor and coach more junior members of the team helping to improve their skills, knowledge and productivity.
  • In this role, you will work with Service Management, Financial Management, and Service Portfolio data, preparing it for model integration to support Generative AI applications unlocking new use cases for the Org and the Company.
  • Be the Security Champion, ensuring data security is at the center of all solutioning.
  • Optimizing GenAI pipelines and models to improve quality and reduce computational time, cost.
  • If necessary, assist in the interviewing, onboarding, mentorship, day-to-day leadership, 1:1s, and offboarding of any full-time and/or contractor personnel reporting to you.
  • Design, write, test and deploy code to develop and support solutions.
  • Operate in a dynamic, quickly changing business environment, typically with little direct guidance, seek information on your own or in your team to understand complex integrations and challenges, and ideate innovative and creative solutions to navigate difficult obstacles and solve problems for the organization.
  • Contribute towards the end-to-end lifecycle of data solutions by engaging in activities such as: ideation, prototyping, building proofs of concept, research, design, architecture, planning, development, deployment, testing, documenting, maintaining, monitoring, fixing, upgrading, migrating, deprecating, and retiring systems or features.
  • Conduct research, discovery, prototyping, proof of concept implementation, and design concepts in order to prove and test ideas with end-users.
  • Participate in the technical evaluation and understanding of business needs to help gather requirements and provide estimates regarding the level of technical effort for various business needs.
  • Reviews code for correctness, and its impact on software and data architecture.
  • Maintain and sustain data solutions by identifying and fixing defects or quality gaps, perform system upgrades and migrations, and seek to improve on how we deliver value through iterative improvements.
  • Leverage Continuous Integration/Continuous Deployment disciplines to streamline the deployment of code and to conduct quality engineering practices such as linting, code formatting, documentation, unit testing, integration testing, pipeline automation, etc.
  • Responsibilities as assigned, to include assisting with user onboardings to data platforms, database administration work such as managing credentials, roles, permissions, monitoring costs and usage, or running administrative commands.
  • Participate, if required, in regular sustainment rotations within the team, typically during business hours only, in which you share responsibilities of detecting and fixing system defects with others on your team.
Desired Qualifications
  • Relevant certifications for data engineering related to SQL, Python, Data Warehousing, DBA, AWS or CICD certifications.
  • Proficiency in programming languages such as Python and Java.
  • Experience with designing and developing microservices architecture.
  • Experience or awareness with large language models (LLMs) and multimodal models.
  • Experience with observability tools like Datadog and similar.
  • Experience with AI frameworks like Langchain, or similar.
The Walt Disney Company

The Walt Disney Company

View

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

1923