Senior Data Engineer

Description:

We’re hiring a Senior Data Engineer with strong core engineering skills and a passion for building robust, scalable data platforms. You’ll work hands-on with real scientific datasets, modern ETL/ELT data pipelines, and advanced distributed systems in a collaborative environment that supports rapid growth. Show us your GitHub, your projects, your passion. We highly value strong fundamentals and learning agility. If you’re a capable senior engineer ready to expand your expertise in modern data lake and query engine technologies, we’d love to hear from you.

Responsibilities
 

• PostgreSQL/MPP Platform Performance & Operations
• Airflow Pipelines — Design, develop, deploy, monitor, and troubleshoot complex data pipelines using Apache Airflow to process, transform, and load large-scale datasets efficiently and reliably.
• Build, maintain, and continuously improve data systems supporting scientific research, including relational databases and cloud-based Lakehouse
• Ensure data accuracy, accessibility, observability, and reliability through proactive monitoring, alerting, and incident response
• Work with scientists, data engineers, and cross-functional teams to translate requirements into robust, scalable platform solutions.
  
   

Required Technical Skills
 

• Advanced expertise in PostgreSQL and Greenplum MPP
• Strong proficiency with Apache Airflow
• Hands-on experience with AWS cloud services
• Strong Python programming skills and proficiency in SQL and SQL performance tuning
• Strong experience designing, building, and optimizing data pipelines at scale
  
   

Required Qualifications
 

• Bachelor’s or master’s degree in computer science, Information Technology, or a related discipline
• 8+ years of experience as a data engineer with proven expertise in Python, PostgreSQL, Airflow, AWS services, and production-grade practices