Product Software Engineer I

The Walt Disney Company

. Create and maintain optimal data pipeline architecture .

Posted 9/29/2026full-timeUnited StatesJuniorMid-Level💰 $102,100 - $143,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining data pipeline architecture, algorithms, and AI/ML integration to enhance data-driven decision-making. Proficient in leveraging big data tools and programming languages to optimize data processes and ensure service reliability.

Highest-signal resume keywords

Data Pipeline ArchitectureSQL ProgrammingPython ProgrammingMachine Learning IntegrationBig Data Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisAlgorithm DevelopmentAI-Powered ToolsGenerative AIML-Driven AutomationSQLPythonScalaData Lifecycle ManagementObservability Enhancement

Tools & Technologies

DatabricksSnowflakeAI/ML Frameworks

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Information SystemsBachelor’s Degree in Software EngineeringBachelor’s Degree in Electrical EngineeringBachelor’s Degree in Electronics Engineering

Industry Keywords

Service ReliabilityOperational ExperienceHigh-Performance SystemsInternet ServicesData Science Projects

Tech Stack

Tools & technologies

PythonScalaSQL

About the role

Key responsibilities & impact

Create and maintain optimal data pipeline architecture
Develop and maintain algorithms
Develop best practices and documentation
Perform data analysis and data science projects for stakeholders
Apply AI-powered tools and generative AI to accelerate development, automate data quality checks, and surface actionable insights from telemetry data
Integrate AI/ML products into internal tooling and consumer-facing experiences
Identify opportunities to apply foundation models, RAG, and other AI-driven approaches to improve observability, streamline instrumentation pipelines, and support data-informed decision-making

Requirements

What you’ll need

Experience with big data tools including Databricks, Snowflake, or similar
Service reliability/operational experience running large-scale high-performance systems and Internet services
Ability to write and maintain reliable and understandable code in SQL, Python, Scala, or other languages
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field of study, or equivalent work experience
Preferred: 1–2 years of software engineering, machine learning, or data science experience
Familiarity with the end-to-end data lifecycle, from client-side event generation to backend processing and consumption by Data Science models
Experience leveraging ML-driven automation to build internal tooling, streamline data pipelines, or enhance observability and monitoring capabilities
Familiarity with AI/ML frameworks and platforms and ability to evaluate and integrate AI products into existing engineering workflows

Benefits

Comp & perks

Medical, financial, and/or other benefits
Bonus and/or long-term incentive units may be provided as part of the compensation package