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Software Resources, Inc.

Sr. Data Engineer

Software Resources, Inc.
Lake Buena Vista, FL Contract Posted 9d ago
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Job Description

Contract, hybrid role supporting the Decision Science and Integration (DDSI) team in Lake Buena Vista, FL (4 days per week on-site, Fridays remote). Join a team that builds data pipeline services and AI-based solutions used to drive business decision-making across Entertainment, Sports Programming, Experiences, and Corporate Finance.

The Data Engineering team delivers and sustains pipeline and data engineering services for development, prototyping, and research initiatives, partnering with business, science, and technology stakeholders to understand requirements and source data.

Benefits

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

What You Will Do

Design, develop, enhance, and implement advanced analytic data solutions across the DDSI organization. You will perform data aggregation and manipulation to make data usable for science models, visualizations, and applications, and you will support the exploration and integration of GenAI tools and techniques into data engineering processes to improve automation and analytical capabilities.

Your work will span planning and estimating through development, testing, production rollout, and sustainment activities. You will also build understanding of the business domain and processes, then apply that knowledge to assigned deliverables. Participation includes data requirements gathering, source-to-target mapping, data validation scripting, and ongoing ETL/ELT pipeline development and monitoring.

You will produce datasets that serve as inputs to science models and visualizations, participate in technical reviews to support quality deliverables, and communicate data engineering progress to project leadership while contributing to team meetings and discussions.

Responsibilities

  • Design, develop, enhance, and implement systems for advanced analytic data solutions
  • Aggregate and manipulate data for science models, visualizations, and applications
  • Leverage GenAI tools to deliver AI-based solutions and improve efficiency
  • Support integration of GenAI tools and techniques into data engineering workflows
  • Complete planning, estimating, design, development, testing, production rollout, and sustainment activities
  • Develop understanding of business domain and apply it to deliverables
  • 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 science models and visualizations
  • Participate in technical reviews to help ensure quality deliverables
  • Communicate progress to project leadership and actively participate in meetings

Requirements

  • 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; experience with platforms such as PostgreSQL and Snowflake
  • 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 developing in multi environment setups (Dev, QA, Prod) and using DevOps procedures for code deployment/promotion with GitLab or GitHub
  • Hands-on knowledge of job orchestration software such as 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 GitLab or GitHub
  • Able to formulate solutions and communicate complex technical concepts to non-technical team members
  • Proven ability to work collaboratively in a multi-team environment

Technologies

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

Education

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

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