We are seeking a Data Engineer II to join a high-impact infrastructure analytics team focused on improving engineering decision-making through high-quality data solutions. This role supports the design, development, and optimization of scalable data infrastructure, driving visibility into operational performance across global data center systems.

The ideal candidate has 3–5 years of experience in data engineering, a strong background in SQL and modern programming languages, and hands-on knowledge of cloud-native tools, especially within AWS environments.

Key Responsibilities

• Collaborate with Business Intelligence Engineers, technical stakeholders, and cross-functional partners to gather requirements and deliver robust, scalable, and operable data infrastructure solutions.
• Build mechanisms for retrieving and aggregating operational data to support downstream analytics and BI initiatives.
• Analyze and optimize ETL workflows and data query performance.
• Own data reliability: conduct deep-dives on anomalies and implement fixes to maintain data integrity.
• Develop a deep understanding of available data sources and continuously recommend new ways to leverage data to solve complex problems.
• Ensure excellence in analysis and reporting by applying best practices around validation, testing, and documentation.
  
  

Top 3 Must-Have Skills

• SQL proficiency – Strong query development, optimization, and troubleshooting (3–5 years).
• AWS ecosystem experience – Familiarity with Redshift, S3, Glue, EMR, Kinesis, Lambda, and IAM.
• Modern programming – Proficiency in one or more of the following: Python, Java, Scala, or Node.js.
  
  

Skills & Experience Required

• 3–5 years of experience in data engineering, preferably in large-scale infrastructure or BI environments.
• Experience designing and maintaining scalable ETL pipelines and cloud-based data architectures.
• Strong ability to translate business needs into actionable data models and technical solutions.
• Bachelor’s degree in Computer Science, Data Engineering, Data Analytics, or a related field.
• Experience applying data quality best practices (validation, testing, governance).
• Strong communication and collaboration skills across technical and business stakeholders.
  
  

Preferred Tools & Skills

• Experience with data pipeline orchestration using AWS-native tools or frameworks like Airflow.
• Familiarity with distributed computing environments and performance tuning.
• Background in infrastructure, engineering analytics, or operational data systems is a plus.
  
  

What Makes This Role Unique?

This opportunity places you at the center of a fast-growing infrastructure analytics team. You'll build tools and pipelines that directly influence engineering strategy, improve data reliability, and scale high-value solutions used across global teams. You'll work closely with both technical and non-technical stakeholders and contribute to meaningful improvements in operational decision-making.