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Today

Sr Data Engineer

Disney Experiences Anaheim, CA

Anaheim, CA

Today

$144k - $193k/yr Full time Senior 3d Design Tools Apache Airflow

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Job Description

Disney Experiences (DX) Tech & Digital is seeking a Senior Data Engineer for the Data Products & Platforms team. The role focuses on building and delivering scalable data warehousing and ELT solutions for content performance and engagement data using AWS and Snowflake.

Responsibilities

Support the design and growth of Data Products and Data Warehouses centered on Content Performance and Content Engagement data.
Design and develop scalable data warehousing solutions, including building ELT pipelines in big data environments (cloud, on-premise, hybrid).
Use the DX data stack, including AWS and Snowflake, along with Data Build Tool (DBT) and Automic UC4/Airflow, to transform, store, retrieve, and distribute Cast & Operations data.
Help architect data solutions and frameworks, using dimensional modeling to define data assets within a medallion structure.
Collaborate with Data Product Managers, Data Architects, and Data Engineers to design, implement, and deliver successful data solutions.
Maintain detailed documentation of work and changes to support data quality and data governance.
Ensure high operational efficiency and quality to meet SLAs, with a dedicated focus on customers including Data Science, Data Analytics, and Business teams.
Participate actively in agile/scrum practices to support team health and process improvements.

Requirements

5+ years of data engineering experience building large data pipelines.
Strong SQL skills, including writing queries to extract data and create performant datasets.
Hands-on experience with AWS services for ingesting process data, including Lambda, Kinesis, DMS, AppFlow, and EventBridge.
Experience with at least one major MPP or cloud database technology: Snowflake, Redshift, or BigQuery.
Expert-level experience with SQL/T-SQL and the ability to create and tune queries.
Agile and Scrum experience.
Strong attention to detail with excellent analytical, problem-solving, and communication skills.
Solid experience with data integration toolsets such as Airflow, including writing and maintaining data pipelines.
Familiarity with data modeling techniques and data warehousing methodologies and practices.

Required Education

Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field of study, and/or equivalent work experience.

Preferred Education

Master’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field of study, and/or equivalent work experience.

Technical Stack

AWS, Snowflake, Data Build Tool (DBT), Automic UC4, Airflow, ELT
Lambda, Kinesis, DMS, AppFlow, EventBridge
Redshift, BigQuery, SQL, T-SQL

Compensation and Pay Transparency

The hiring range for this position in Anaheim, CA is $144,100.00-$193,200.00 per year.
Base pay offered may consider internal equity and may vary based on candidate geographic region, job-related knowledge, skills, and experience, and other factors.
A bonus and/or long-term incentive units may be provided in addition to medical, financial, and/or other benefits.

Location

Anaheim, CA (onsite)

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1d ago

Data Engineer

Symple Lending Tampa, FL

Tampa, FL

1d ago

Full time 3d Design Tools Automation AWS

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Job Description

Hybrid Data Engineer role in Tampa, Florida focused on maintaining production cloud infrastructure and reliable data pipelines.

Responsibilities

Maintain and optimize production data pipelines using AWS tools such as S3, Redshift, ECS, and SFTP integrations
Build, test, and maintain dbt models for dependable and efficient data transformations
Monitor pipeline performance, data accuracy, and overall system health; troubleshoot and resolve production issues
Support security and compliance through system updates, dependency upgrades, vulnerability remediation, and patching
Collaborate with engineering teams using Git, pull requests, code reviews, and CI/CD processes
Use AI-assisted development tools including Claude and Cursor to streamline engineering workflows
Create and maintain technical documentation, operational procedures, and communicate system updates across teams
Partner with the Senior Data Engineer on infrastructure improvements and scalable data solutions

Requirements

3–5 years of professional experience in data engineering or a related technical role
Strong SQL skills and experience with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery
Proficiency in Python for data pipelines, scripting, and automation
Hands-on experience with AWS services including S3, IAM, ECS, or Lambda
Production experience with dbt and data transformation workflows
Experience using Git, pull requests, and collaborative code review practices
Knowledge of security best practices, system monitoring, dependency management, and vulnerability remediation
Familiarity with AI-assisted development tools and interest in applying AI in day-to-day workflows
Strong problem-solving, communication, and collaboration skills

Technologies

AWS, S3, Redshift, ECS, SFTP, dbt, Git, CI/CD, Claude, Cursor, SQL, Snowflake, BigQuery, Python, IAM, Lambda
Docker, ECS/Fargate, Terraform, CloudFormation
EventBridge, SQS
Dependabot, Snyk, AWS Inspector
Amazon SageMaker, machine learning pipelines

Benefits

Competitive salary
Comprehensive health, dental, and vision insurance
Direct mentorship from an experienced Senior Data Engineer
Opportunity to take ownership of production systems and make a meaningful impact
Hands-on exposure to modern AWS cloud infrastructure and AI-driven engineering tools
Positive and collaborative work culture
Paid time off
Professional growth and development opportunities
Employee referral bonus program

Bonus Points

Experience with Docker, ECS/Fargate, Terraform, or CloudFormation
Familiarity with AWS EventBridge, SQS, or other event-driven architectures
Experience with security tools such as Dependabot, Snyk, or AWS Inspector
Background in financial services, lending, or another regulated industry
Exposure to machine learning pipelines or Amazon SageMaker

Location: Tampa, FL (hybrid)

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