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Sr. Data Engineer - DX Analytics

Job in Lake Buena Vista, Orange County, Florida, USA
Listing for: Software Resources, Inc.
Full Time position
Listed on 2026-11-02
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Software Resources has an immediate, long term contract job opportunity for a Sr. Data Engineer - DX Analytics with a major corporation in Lake Buena Vista, FL. Position is Hybrid.

The Decision Science and Integration (DSI) team leverages advanced technologies, data analytics, and scientific approaches such as optimization, and statistical modeling to build innovative tools that shape business decisions across The Company. We support Entertainment (Cable, The Studios, Streaming), Sports, Experiences (Theme Parks, Cruise Line, Consumer Products, VC), and Corporate Finance with strategic applications that enable data-driven decision-making.

What You Will Do:

We are seeking a highly skilled Senior Data Engineer to support a large-scale transformation initiative focused on modernising the Cruise Line Revenue Management Platform. This role will be instrumental in designing, building, and enhancing data solutions that support critical business operations and revenue optimisation efforts. The project is a long-term strategic investment and requires engineers who can operate effectively in a fast-paced environment while partnering closely with architects, developers, and business stakeholders.

This position is ideal for an experienced data engineer who combines strong technical expertise with the ability to leverage modern development practices, including AI-assisted development tools.

The Data Engineering team is responsible for development and sustainment projects, ad-hoc requests, prototyping and research initiatives by providing data pipeline and data engineering services. You will work with business, science, and technology teams to understand scope and requirements, business needs, and data from across the Disney company in order to design and deliver the data pipelines necessary for our solutions.

You will have tasks to design, develop, enhance, and implement systems for advanced analytic data solutions. This includes data aggregation and manipulation to make the data usable by science models, visualisations, and applications. You will be expected to leverage GenAI tools to be efficient in your work, and you will be delivering AI-based solutions. You will also support the exploration and integration of GenAI tools and techniques into data engineering processes to enhance automation and analytical capabilities.

Other activities could include planning, estimating, design, development, testing, production rollout and sustainment activities. In addition to technical capabilities, the role is responsible for developing an understanding the business domain and processes, then applying that knowledge to the assigned deliverables.

Responsibilities of the Role:

Work assignments may cover activities such as 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 visualisations. As part of a data engineering team, this role will be included in technical reviews of the team to ensure quality deliverables. In addition to technical capabilities, the role is responsible for developing an understanding of the business domain and processes, then applying that knowledge to the assigned deliverables.

This role communicates data engineering progress to the project leadership team and actively participates in meetings and discussions.

  • Design, develop, and maintain scalable data pipelines and integrations.
  • Build and support cloud-based data solutions using modern data engineering technologies.
  • Collaborate with technical leads, architects, and business stakeholders to gather requirements and translate them into technical solutions.
  • Develop APIs and data services that support enterprise applications and analytics initiatives.
  • Contribute to data architecture, data modeling, and platform modernization efforts.
  • Leverage AI-enabled development tools and practices to improve engineering productivity and solution quality.
  • Participate in technical design reviews, code reviews, and best practice development.
  • Support delivery of strategic initiatives through hands-on engineering and solution implementation.
  • Work closely with project teams to ensure timely delivery of capabilities aligned with business objectives.
Basic Qualifications:
  • 5+ years of technology experience
  • Strong experience with ELT/ETL data pipeline development and maintenance
  • Proven expertise using Python and SQL
  • Strong understanding of database and…
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