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Senior Data Engineer

United States, Lake Buena Vista Contract work · Job Posted June 16, 2026
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Job Description

The DDSI Data Engineering (DE) team is seeking a Data Engineer to design, develop, enhance, and implement systems for multiple analytical applications. The work will involve various data engineering activities such as maintaining and enhancing data acquisition processes, data validation processes, ETL/ELT data pipelines, and overall process notification methods.

Job Responsibility

  • Design, develop, enhance, and implement systems for multiple analytical applications
  • Maintaining and enhancing data acquisition processes, data validation processes, ETL/ELT data pipelines, and overall process notification methods
  • Participation in data requirements gathering, source-to-target mapping, data validation scripting and review, developing and monitoring ETL/ELT data pipelines, and producing datasets as input to science models and visualizations
  • Included in technical reviews of the team to ensure quality deliverables
  • Developing an understanding of the business domain and processes, then applying that knowledge to the assigned deliverables
  • Communicating data engineering progress to the project leadership team and actively participating in meetings and discussions

Requirements

  • Bachelor's degree (Computer Science, Mathematics, Software Engineering or related field, or equivalent experience)
  • 5+ years of experience with ELT/ETL development using SQL and Python
  • 2+ years of experience developing and maintaining data pipeline processing with a framework such as Apache Flink, Beam or Kafka Streams
  • Experience and understanding of one or more business domains to assist in gathering/refining data requirements and data design solutions
  • Experience with developing in a multi environment (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion
  • Strong understanding of database design and proficiency utilizing various database platforms, such as PostgreSQL or Snowflake
  • Experience managing and deploying code using a source control product such as GitLab/GitHub
  • Able to effectively formulate solutions and communicate complex technical concepts to non-technical team members
  • Heavy Snowflake/SQL/Python and Flink
  • Multi environment in DevOps
  • Must have Code promotion and Code management experience

Nice to have

  • Infrastructure as code
  • Dockers and Kubernetes
  • Master's degree (Computer Science, Mathematics, Engineering or related field preferred)
  • Experience with infrastructure as Code, Docker and containerization and elastic scaling with Kubernetes or a similar framework and with AWS
  • Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar
  • Demonstrated proficiency with API development
  • Knowledgeable on cloud architecture and product offerings, preferably AWS

What we offer

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • 401(k) with company match
  • Short-term disability
  • Life insurance with AD&D
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