Data Engineer II

Responsibilities

• Design, build, and sustain production-grade ETL/ELT pipelines and large-scale data infrastructure to support operational intelligence for OTS.
• Develop feature engineering workflows and ML-ready data pipelines that enable Data Science experimentation and production model serving.
• Contribute to data governance and quality standards across analytical and ML data products.
• Assist in implementing GenAI solutions for automated reporting, diagnostics, predictive, and prescriptive analytics.
• Build and maintain semantic layers and dashboard data models that inform worldwide operations decision-making.
• Collaborate with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS business goals.
• Follow and contribute to best practices for data engineering, including code reviews, testing, monitoring, and documentation.

Requirements

• 3+ years of data engineering experience
• 3+ years developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes
• 1+ years developing and operating large-scale data structures for business intelligence analytics using SQL
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience with SQL and Python scripting
• Experience in software development, or in data infrastructures such as relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda
• Bachelor's degree in Computer Science, Computer Engineering, Information Technology or related fields

Technologies

• SQL
• Python
• Elastic-Search
• EMR
• EC2
• Glue
• Lambda

Benefits

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan