Senior Data Engineer - Data Ingestion & Platform

Downtown Boulder Partnership; Orlando (FL); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Universal Orlando in Orlando, FL seeks a Lead Data Engineer to design, implement, and operate scalable data integrations and ingestions across the enterprise data platform. You will collaborate with business, analytics, architecture and product teams to translate requirements into robust data pipelines, ensure SLA adherence, and drive operations, security and governance.

This role supports on-site and hybrid work models, participates in on-call rotations, and requires strong problem solving and

Qualifications

• Bachelor’s degree in Computer Science or a related field.
• 7+ years of experience in large IT teams and data environments.
• Proficiency with Python, SQL, Spark, and data integration tools.
• Experience with cloud platforms (AWS/Azure) and Linux.
• Strong verbal and written communication skills.

Responsibilities

• Implement enhancements for data integration and ingestion to meet requirements.
• Code data integration solutions for medium-to-high complexity projects.
• Support release and change management; ensure operations and monitoring.
• Coordinate with teams to ensure SLAs for data platforms.
• Produce high-quality technical documentation and estimates.

Skills

Python

SQL

Data engineering

ETL

Airflow

Spark

Cloud AWS

Bash

DevOps

Education

Bachelor's degree in CS or related field

Tools

Airflow

Git

Snowflake

Hadoop

Kubernetes

SSIS

Job description

Universal Orlando in Orlando, FL seeks a Lead Data Engineer to design, implement, and operate scalable data integrations and ingestions across the enterprise data platform. You will collaborate with business, analytics, architecture and product teams to translate requirements into robust data pipelines, ensure SLA adherence, and drive operations, security and governance.

This role supports on-site and hybrid work models, participates in on-call rotations, and requires strong problem solving and