Senior Data Engineer: GenAI & Data Pipeline Mastery

INSPYR Solutions; Lake Buena Vista (FL); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

INSPYR Solutions seeks a Data Engineer to design and sustain data pipelines for Disney DDSI initiatives. You will work with business, science, and tech teams to transform data for analytics and AI-driven solutions, including GenAI tool integration and automation.

Responsibilities include collecting requirements, ETL/ELT development, data quality, and delivering datasets for models and visualizations, while collaborating across multiple teams and environments.

Qualifikationen

• 5+ years in technology with data pipelines.
• ELT/ETL pipeline development and maintenance.
• Proficient in Python and SQL.
• Strong data warehouse design knowledge (PostgreSQL, Snowflake).
• GenAI concepts, APIs, and tooling familiarity.
• Experience with GitLab/GitHub and DevOps.
• Airflow expertise for orchestration.
• Ability to gather data requirements and design solutions.
• Collaborative across multi-team environments.

Aufgaben

• Gather data requirements and perform source-to-target mapping.
• Develop and monitor ETL/ELT data pipelines and datasets.
• Validate data quality and support science models.
• Collaborate with business, science, and tech teams.
• Communicate progress to leadership and participate in reviews.

Kenntnisse

Python

SQL

ETL/ELT

Data modeling

Communication

Team collaboration

Ausbildung

Bachelor's degree (CS/Math/SE)

Tools

PostgreSQL

Snowflake

Airflow

GitLab

GitHub

LangChain

OpenAI

AWS Bedrock

Docker

Kubernetes

Jobbeschreibung

INSPYR Solutions seeks a Data Engineer to design and sustain data pipelines for Disney DDSI initiatives. You will work with business, science, and tech teams to transform data for analytics and AI-driven solutions, including GenAI tool integration and automation.

Responsibilities include collecting requirements, ETL/ELT development, data quality, and delivering datasets for models and visualizations, while collaborating across multiple teams and environments.