Glendale, CA

Engineer Jobs in Glendale, CA

3 jobs found

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1mo ago

Software Engineer I

Disney Entertainment and ESPN Product & Technology Glendale, CA

Glendale, CA

1mo ago Closed

$98k - $131k/yr Full time Backend Developer Analytics Automation

This position is no longer accepting applications (closed Sep 19, 2026).

Job Description

Software Engineer I role on the Observability & Insights group, building telemetry, monitoring, and insights platforms for Disney’s large-scale streaming services.

Responsibilities

Develop, test, and document features within established observability codebases (metrics, logs, traces, dashboards, alerting, telemetry pipelines).
Fix bugs and reduce technical debt in assigned components with support from senior teammates.
Write clean, readable, well-tested code aligned with team standards and observability frameworks.
Learn and apply patterns for high-volume, low-latency telemetry ingestion and storage.
Assist with service instrumentation and validate telemetry quality (metrics, logs, traces) with partner engineering teams.
Build and update dashboards, reports, and visualizations to highlight system health and operational trends.
Tune alerts and reduce noise with guidance from senior engineers and incident response partners.
Participate in code reviews, providing and receiving constructive feedback.
Contribute to technical design discussions for small-to-medium features and document work for maintainability and onboarding.
Gain exposure to AWS, Kubernetes, and Infrastructure as Code (IaC) through guided implementation tasks.
Shadow on-call rotations and incident response workflows to build operational awareness.
Break down assigned work into clear tasks, communicate progress and blockers early, and ask questions proactively.
Partner across Observability & Insights and service engineering teams to deliver incremental improvements.
Join team rituals including standups, sprint planning, retrospectives, and knowledge-sharing.
Develop foundational reliability engineering skills such as SLIs, SLOs, post-incident reviews, and a blameless culture.

Requirements

Proficiency in at least one backend or systems programming language: Go or Python (coursework, internships, and personal projects count).
Foundational software development practices: Git, unit testing, debugging, and working in an existing codebase.
Basic cloud computing concepts with interest in learning AWS and Kubernetes in production.
Introductory observability concepts: metrics, logs, tracing, and alerting, or strong motivation to learn quickly.
Clear communication, feedback acceptance, and effective collaboration in a distributed engineering team.

Technologies

Go, Python
Git
AWS
Kubernetes
Infrastructure as Code (IaC)
metrics, logs, traces, dashboards, alerting
telemetry pipelines
SLIs, SLOs
Grafana, Prometheus
OpenTelemetry
Datadog, New Relic
distributed systems, data pipelines, event-driven architectures
Kafka
CI/CD

Preferred Qualifications

0–2 years of professional software engineering experience, or completion of a relevant internship, co-op, or new-graduate program with demonstrated project work.
Internship/co-op/project experience related to observability, SRE, DevOps, or platform engineering.
Exposure to observability tools or standards: Grafana, Prometheus, OpenTelemetry, Datadog, New Relic, or similar.
Experience with distributed systems, data pipelines, or event-driven architectures (academic, internship, or side projects).
Contributions to open source, hackathons, or personal projects showing curiosity and initiative.
Coursework or experience with databases, streaming systems (e.g., Kafka), or CI/CD pipelines.
Familiarity with AI-assisted development workflows and a growth mindset toward modern engineering practices.

Compensation and Benefits

Salary range: USD 97,500 - 130,700 per year.
A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on level and position.

Company and Team Context

Product Engineering is a unified team responsible for engineering Disney Entertainment & ESPN digital and streaming products and platforms.
Observability & Insights supports telemetry, monitoring, and insights platforms that help keep Disney’s large-scale streaming services reliable, including Disney+, Hulu, ESPN, ABC, and ABC News, plus related products.

Required Education

Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a comparable field of study, or equivalent work experience.

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1mo ago

Senior Data Engineer

Software Resources, Inc. Glendale, CA

Glendale, CA

1mo ago Closed

$90 - $93/hr Full time Senior Big Data Data Architecture

This position is no longer accepting applications (closed Sep 18, 2026).

Job Description

The Senior Data Engineer will support enterprise data engineering initiatives by designing, building, and optimizing scalable data solutions. The role focuses on operating the Core Data platform, delivering batch and streaming Spark pipelines with governance across AWS, Kubernetes, and Airflow (MWAA).

Core Responsibilities

Manage Databricks platform governance, including Unity Catalog, ACLs, lineage, and data discovery and privacy tooling
Design, develop, test, and deploy batch and streaming data pipelines using PySpark, Scala, SQL, Python, and Kotlin
Partner with stakeholders to gather requirements and translate them into scalable data platform solutions
Use Databricks platform and developer tooling to diagnose errors, audit platform activity, and automate updates across pipelines, objects, and integrations
Explain Spark architecture and pipeline behavior to troubleshoot root causes and recommend solutions
Provide solution architecture across AWS, Databricks, Kubernetes, and Airflow (MWAA), including cross-platform integrations
Build and maintain Kubernetes containers and containerized utilities that support deployed data platform services
Apply networking knowledge to troubleshoot connectivity and integration errors across platform components
Perform platform administration such as provisioning and removing access, assessing resource utilization, monitoring platform health and cost, and evaluating stakeholder requests
Collaborate with engineers, architects, and product managers to drive Core Data platform success and participate in agile or scrum ceremonies
Maintain documentation for platform changes, standards, and pipeline configurations to support data quality and governance
Develop and maintain scalable data engineering solutions, including building and enhancing data pipelines and workflows
Support cloud-based data platform initiatives, collaborate on system architecture and design, and implement infrastructure automation and deployment standards
Troubleshoot and optimize data processing environments

Required Qualifications

Strong experience with Databricks
Advanced Python development skills
Experience with Terraform and Infrastructure as Code
5+ years of relevant data engineering experience
Ability to participate in architecture and system design discussions
Strong problem-solving and data platform implementation experience

Additional Qualifications and Skills

5+ years developing and operating large-scale data pipelines
Deep hands-on experience with Databricks and Apache Spark (batch and streaming), including pipeline development in PySpark and/or Scala
Strong understanding of Spark architecture components including executors, stages, partitioning, shuffle, and performance tuning, with the ability to explain tradeoffs to technical and non-technical stakeholders
Proficiency with Databricks platform tooling (API, SDK, CLI) for automation, auditing, governance, and operational troubleshooting
Advanced SQL performance tuning capabilities
Hands-on production experience with Airflow (MWAA) for orchestrating data pipelines
Experience managing Databricks governance including ACLs, Unity Catalog, lineage, and access provisioning
Proficiency in Python and at least one additional language: Scala, Kotlin, or SQL-driven pipeline tooling
Experience designing and optimizing scalable ETL/ELT pipelines integrating diverse structured and unstructured data sources
AWS-primary experience covering compute, storage, networking, and IAM (transferable experience with other cloud providers is acceptable)
Proficiency with Docker and Kubernetes for building and maintaining containerized data platform services
Working knowledge of networking concepts for diagnosing cross-platform integration and connectivity issues
Familiarity with Snowflake and comparable tooling relative to the Databricks ecosystem
Experience implementing CI/CD and DevOps practices using Git-based workflows
Experience implementing data quality checks, monitoring, and logging for pipeline reliability
Comfort as a self-starting problem solver with strong analytical and communication skills and willingness to learn new tooling and trends
Familiarity with Scrum and Agile methodologies
Bachelor’s Degree in Computer Science, Information Systems, or a related field, or equivalent work experience; Master’s Degree is a plus

Nice-to-Have

Experience with AWS
Cloud-based data platform experience
Data pipeline optimization and automation expertise

Technologies

Databricks, Python, Terraform, AWS, Kubernetes, Airflow (MWAA)
PySpark, Scala, SQL, Kotlin
Unity Catalog, Apache Spark
Docker, Git-based workflows, CI/CD

Location and Work Type

Glendale, CA (hybrid)

Compensation and Contract Details

Pay rate: USD $90–$93 per hour (DOE)
Duration: 12+ months

Benefits

Medical, dental, and vision coverage
401(k) with company match
Short-term disability
Life insurance with AD&D

Minimum Education

BA/BS

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2mo ago

Senior Ride Control Hardware Engineer

Walt Disney Imagineering Glendale, CA

Glendale, CA

2mo ago Closed

$129k - $173k/yr Full time Electrical Engineering Senior AutoCAD

This position is no longer accepting applications (closed Aug 3, 2026).

Job Description

This full-time role is based onsite in Glendale, CA, and focuses on designing, analyzing, and implementing electrical control systems for complex ride platforms while leading a ride control engineering team within the Ride Studio; the position carries a salary range of USD 129,300 to 173,300 per year.

Responsibilities

Define and deliver control systems for sophisticated ride platforms by shaping the programmable, electrical, and electronic hardware scope.
Perform engineering design and analysis of ride systems with a focus on electrical control systems.
Develop architectures for control systems and network communications.
Model and evaluate electrical supply systems through design and analysis.
Explore new products, technologies, and methodologies to advance ride control.
Lead a team of ride control engineers and collaborate with other professionals to develop ride control solutions.
Specify requirements for control equipment and craft detailed specifications.
Create and test proof-of-concept mock-ups and prototypes to validate concepts.
Conduct hazard assessments and analyze failure modes and effects.
Oversee vendors, contractors, and consultants involved in ride control system development and deployment.
Define supervision for supplier and consultant design work and delivery.
Verify that all delivery and performance requirements are met.
Coordinate factory acceptance testing and installation of ride systems.

Requirements

Minimum five years of controls experience.
Experience in fail-safe and safety-related control system design.
Extensive knowledge of control processors, components, and communication networks.
Strong proficiency in industrial control system installation, integration, and commissioning.
Solid understanding of communication protocols including TCP/IP, CAN, serial, ProfiNET, Ethernet/IP, and EtherCAT.
Extensive knowledge of electrical design standards and codes, including UL508a and NEC.
Familiarity with amusement and automation industry standards, including ASTM F2291.
Expertise in motor and motion control methods and components.
Ability to travel domestically and internationally for durations from 1 week to 3 years.
Capability to manage multiple complex efforts simultaneously, coordinate team activities, and prioritize tasks.
Education: Bachelor of Science degree or higher in an engineering field.

Technologies

AutoCAD
Matlab
Simulink
Solidworks
EPLAN
Rockwell Automation
Siemens automation systems
TCP/IP
CAN
serial
ProfiNET
Ethernet/IP
EtherCAT

Benefits

Health and savings benefits
Educational opportunities
Special extras

About the Role & Team

Walt Disney Imagineering serves as the creative force behind Disney theme parks, resorts, attractions, and cruise ships worldwide. Imagineers integrate storytelling, art, science, and technology to craft immersive experiences and memorable environments. Innovation is central to every project, with first-of-a-kind elements and advanced technologies driving solutions that inspire. Ride Control Hardware Engineers operate within the Ride Studio, collaborating on diverse teams to design and implement control systems across a range of ride platforms from concept through commissioning. The Ride Control Hardware Engineer reports to the Ride Control Systems Engineering Executive in a full-time capacity.

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Engineer Jobs in Glendale, CA

Software Engineer I

Senior Data Engineer

Senior Ride Control Hardware Engineer

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