Sr. Data Engineer - DX Analytics

Software Resources, Inc.; Lake Buena Vista (FL); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401(k) with company match

Short-term disability

Life insurance with AD&D

Job summary

Software Resources, Inc. is seeking a Senior Data Engineer for a hybrid, long-term contract in Lake Buena Vista, FL. You will design and optimize large-scale data pipelines and analytics platforms to support Revenue Management initiatives and data-driven decisions.

The role emphasizes cloud data solutions, GenAI integration, and collaboration with business stakeholders, architects, and developers to deliver AI-enabled data engineering capabilities.

Qualifications

• 5+ years of technology experience.
• Strong ELT/ETL data pipeline development and maintenance.
• Proficiency in Python and SQL.
• Experience with PostgreSQL, Snowflake, and data warehouse design.
• Knowledge of GenAI concepts and tools (LLMs, embeddings).
• Experience with GenAI APIs (OpenAI, LangChain, AWS Bedrock).
• Experience with GitLab/GitHub and multi-environment DevOps.
• Hands-on with Apache Airflow.
• Ability to communicate complex concepts to non-technical stakeholders.

Responsibilities

• Design, build, and maintain scalable data pipelines and integrations.
• Develop cloud-based data solutions using modern technologies.
• Collaborate with architects, developers, and stakeholders to translate requirements.
• Create APIs and data services for enterprise apps and analytics.
• Leverage GenAI tools to improve engineering productivity and deliver AI-based solutions.
• Participate in design reviews and code reviews.

Skills

Python

SQL

ETL/ELT

Data warehousing

GenAI

Education

Bachelor's degree

Tools

AWS

Snowflake

API Development

Kubernetes

Job description

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 data warehouse design, and proficiency utilizing various data platforms, such as PostgreSQL, Snowflake, etc.
• Solid understanding of GenAI concepts and tools (e.g., LLMs, embeddings, prompt engineering)
• Understanding of vector databases or RAG (Retrieval-Augmented Generation) architectures
• Experience working with GenAI APIs or frameworks (e.g., OpenAI, LangChain, AWS Bedrock)
• Experience with developing in a multi environment (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion using a source control product such as GitLab or GitHub.
• Hands-on knowledge of job orchestration software like Apache Airflow
• Experience and understanding of one or more business domains to assist in gathering/refining data requirements and data design solutions
• 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
• Proven ability to work collaboratively in a multi-team environment

Required Qualifications:

• Extensive experience in Data Engineering, Data Integration, or related disciplines.
• Strong experience developing cloud-based data solutions.

Expertise with:

• AWS
• Snowflake
• API Development
• Experience building and maintaining large-scale data pipelines and data platforms.
• Strong understanding of software development lifecycle and engineering best practices.
• Excellent problem-solving and analytical skills.
• Strong communication and stakeholder engagement capabilities.

Preferred Qualifications:

• Experience supporting large enterprise transformation programs.
• Understanding of modern AI and Generative AI technologies as applied to software and data engineering workflows.
• Experience utilizing AI-assisted development tools to improve delivery efficiency.
• Familiarity with containerization technologies such as Kubernetes.
• Experience working within agile environments and cross-functional teams.
• Experience with analytic systems
• 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 such as Snowflake,
• Demonstrated proficiency with API development
• Knowledgeable on cloud architecture and product offerings, preferably AWS

Education:

Bachelor's degree (Computer Science, Mathematics, Software Engineering or related field)

About SRI Resources

SRI Resources, founded more than 3 decades ago, is a trusted staffing partner specializing in Technology (IT, Creative, & Marketing), Finance, & Accounting placements. We work with companies nationwide that need skilled professionals and connect them with candidates like you looking for the right opportunity.

We are always looking for professionals at all experience levels and in various specialties to meet our clients' hiring needs. As a member of our team, you will have access to benefits including medical, dental, and vision coverage, a 401(k) with company match, short-term disability, life insurance with AD&D.