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Software Resources, Inc.

Sr. Data Engineer

Software Resources, Inc.
Lake Buena Vista, FL Contract Posted 39m ago
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Job Description

Software Resources, Inc. is hiring a Sr. Data Engineer to support the Decision Science and Integration (DDSI) team. This hybrid contract role in Lake Buena Vista, FL (4 days on-site, Fridays remote) focuses on building and sustaining data pipeline services and delivering AI-based solutions that support business decision-making across Entertainment, Sports Programming, Experiences, and Corporate Finance.

What you’ll get

  • Medical, dental, and vision coverage
  • 401(k) with company match
  • Short-term disability
  • Life insurance with AD&D

How you’ll contribute

On the DDSI team, you’ll help design and deliver data engineering capabilities that enable optimization and statistical modeling, powering tools used to shape business decisions. You’ll work with business, science, and technology teams to understand scope, requirements, and data sources across the organization, then implement the data pipelines required for the team’s solutions.

The Data Engineering team owns development and sustainment projects, ad-hoc requests, and prototyping and research initiatives. In this role, you’ll be expected to design, develop, enhance, and implement systems for advanced analytic data solutions, including work across planning, estimating, design, development, testing, production rollout, and sustainment activities.

  • Aggregate and manipulate data so it is usable by science models, visualizations, and applications
  • Leverage GenAI tools to improve efficiency and deliver AI-based solutions
  • Support exploration and integration of GenAI tools and techniques into data engineering processes to increase automation and analytical capabilities
  • Participate in data requirements gathering
  • Perform source-to-target mapping
  • Develop and review data validation scripting
  • Develop and monitor ETL/ELT data pipelines
  • Produce datasets for input to science models and visualizations
  • Participate in technical reviews to help ensure quality deliverables
  • Communicate data engineering progress to project leadership and join relevant meetings and discussions

What you bring

  • 5+ years of technology experience
  • Strong experience building and maintaining ELT/ETL data pipelines
  • Proven proficiency with Python and SQL
  • Understanding of database and data warehouse design, including experience with platforms such as PostgreSQL and Snowflake
  • Solid knowledge of GenAI concepts and tools, including LLMs, embeddings, and prompt engineering
  • Understanding of vector databases or RAG (Retrieval-Augmented Generation) architectures
  • Experience using GenAI APIs or frameworks, such as OpenAI, LangChain, or AWS Bedrock
  • Experience developing across multiple environments (Dev, QA, Prod) and using DevOps procedures for code deployment and promotion with GitLab or GitHub
  • Hands-on experience with Apache Airflow for job orchestration
  • Experience with business domains to support gathering and refining data requirements and data design solutions
  • Ability to effectively communicate complex technical concepts to non-technical team members
  • Proven ability to collaborate across multiple teams

Technologies you’ll work with

Python, SQL, PostgreSQL, Snowflake, LLMs, embeddings, prompt engineering, vector databases, RAG (Retrieval-Augmented Generation), OpenAI, LangChain, AWS Bedrock, GitLab, GitHub, Apache Airflow, Docker, Kubernetes, AWS, Databricks, ELT, ETL

Education

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

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