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Senior Data Engineer

Job in Orlando, Orange County, Florida, 32885, USA
Listing for: Optomi
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Overview

Optomi, in partnership with a leading organization in the entertainment industry, is looking for an experienced Senior Data Engineer to join their team. The Senior Data Engineer will design, develop, enhance, and implement systems for multiple analytical applications. This role involves maintaining and enhancing data acquisition processes, data validation processes, ETL/ELT data pipelines, and overall process notification methods. The Senior Data Engineer will participate in data requirements gathering, source-to-target mapping, data validation scripting and review, developing and monitoring ETL/ELT data pipelines, and producing datasets as input to science models and visualizations.

Benefits
  • Working on-site in a collaborative environment Monday through Thursday!
  • Exposure to cutting-edge technologies like Snowflake, Python, and Apache Flink!
  • Being part of a dynamic data engineering team focused on quality deliverables!
Qualifications
  • 5+ years of experience with ELT/ETL development using SQL and Python.
  • 2+ years of experience with frameworks such as Apache Flink, Beam, or Kafka Streams.
  • Strong understanding of database design and experience with platforms like PostgreSQL or Snowflake.
  • Experience in a multi-environment Dev Ops setup, including code promotion and management.
  • Proficiency in source control tools like Git Lab or Git Hub.
  • Knowledge of cloud-based big data technologies such as Snowflake or Databricks.
  • Experience with Infrastructure as Code, Docker, Kubernetes, and AWS.
Responsibilities
  • Design, develop, and maintain systems for multiple analytical applications.
  • Enhance data acquisition, validation, and pipeline processes.
  • Participate in data requirements gathering, source-to-target mapping, and data validation scripting.
  • Monitor and maintain ETL/ELT pipelines and produce datasets for science models and visualizations.
  • Communicate progress to project leadership and participate in technical reviews to ensure quality deliverables.
  • Apply business domain knowledge to assigned deliverables.
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Position Requirements
10+ Years work experience
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