Sr. Data Engineer

Software Resources, Inc.; Lake Buena Vista (FL); Hybrid; USD 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Medical coverage

Dental coverage

Vision coverage

401(k) with company match

Short-term disability

Life insurance with AD&D

Zusammenfassung

Software Resources, Inc. is seeking a Sr. Data Engineer to join the Decision Science and Integration (DDSI) team on a contract basis. The role is hybrid in Lake Buena Vista, FL, with 4 days on-site and Fridays remote.

You will own end-to-end data pipelines, work across domains (Entertainment, Sports, Experiences, Corporate Finance), and apply GenAI techniques to production data solutions. Strong Python/SQL and cloud data warehousing experience are essential.

Qualifikationen

• 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 (PostgreSQL, Snowflake).
• Solid understanding of GenAI concepts including LLMs, embeddings, and prompt engineering.

Aufgaben

• Design, develop, enhance, and implement systems for advanced analytic data solutions.
• Aggregate and manipulate data for science models, visualizations, and apps.
• Leverage GenAI tools to build AI-based solutions.
• Perform data requirements gathering and 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 ensure quality.

Kenntnisse

5+ years experience

Python

SQL

GenAI concepts

LLMs

Embeddings

Prompt engineering

Data modeling

Communication

Multi-team collaboration

Ausbildung

Bachelor’s degree

Tools

PostgreSQL

Snowflake

OpenAI

LangChain

AWS Bedrock

GitLab

GitHub

Apache Airflow

Docker

Kubernetes

Databricks

Jobbeschreibung

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.

What you’ll contribute

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.

Key responsibilities

• 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.

What you bring

• 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, LangChain, or AWS Bedrock.
• Experience with multi-environment development (Dev, QA, Prod) and DevOps practices for code promotion using GitLab or GitHub.
• 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.

Technologies you’ll likely use

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

Contract benefits

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

Education

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