Sr. Data Engineer

Software Resources, Inc. is hiring a Sr. Data Engineer to join the Decision Science and Integration (DDSI) team. This contract role helps deliver and sustain data pipeline services and AI-based solutions that support business decision-making. The position is hybrid in Lake Buena Vista, FL
, with 4 days per week on-site and Fridays remote
.

On the DDSI team, you’ll work on analytic data solutions and data engineering services that enable data-driven decision-making across areas such as Entertainment (Cable, Streaming, Studios),
Sports Programming
, Experiences (Theme Parks, Cruise Line, Consumer Products), and Corporate Finance
.

You will be responsible for end-to-end engineering activities including planning, estimating, design, development, testing, production rollout, and sustainment
. You’ll also collaborate with business, science, and technology teams to understand scope, requirements, and the data needed to deliver the team’s solutions.

• Design, develop, enhance, and implement systems for advanced analytic data solutions.
• Aggregate and manipulate data so it can be used by science models, visualizations, and applications.
• Leverage GenAI tools to build and deliver AI-based solutions.
• Support the exploration and integration of GenAI tools and techniques into data engineering workflows to improve automation and analytical capabilities.
• Perform data requirements gathering and source-to-target mapping.
• Develop and review data validation scripting.
• Develop and monitor ETL/ELT data pipelines.
• Produce datasets that serve as inputs to science models and visualizations.
• Participate in technical reviews to help ensure quality deliverables.
• Communicate data engineering progress to project leadership and actively participate in meetings and discussions.

• 5+ years of technology experience.
• Strong experience developing and maintaining ELT/ETL data pipelines.
• Proficiency with Python and SQL
  .
• Understanding of database and data warehouse design
  , with experience using platforms such as PostgreSQL and Snowflake
  .
• Solid understanding of GenAI concepts and tools
  , including LLMs
  , embeddings
  , and prompt engineering
  .
• Knowledge of vector databases or RAG (Retrieval-Augmented Generation) architectures.
• Experience using GenAI APIs or frameworks
  , such as OpenAI
  , Lang Chain
  , or AWS Bedrock
  .
• Experience with multi-environment development (Dev, QA, Prod) and Dev Ops practices for code promotion using Git Lab or Git Hub
  .
• Hands-on knowledge of job orchestration tools such as Apache Airflow
  .
• Experience working with one or more business domains to help gather or refine data requirements and data design solutions.
• Ability to formulate solutions and communicate complex technical concepts to non-technical team members.
• Proven ability to collaborate in a multi-team environment.

• Python, SQL
• PostgreSQL, Snowflake
• LLMs, embeddings, prompt engineering
• Vector databases, RAG (Retrieval-Augmented Generation) architectures
• OpenAI, Lang Chain, AWS Bedrock
• Git Lab, Git Hub
• Apache Airflow
• Docker, Kubernetes, AWS, Databricks
• ELT, ETL

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

Bachelor’s degree in Computer Science, Mathematics, Software Engineering, or a related field.