🛠 Tech Stack

💼 About This Role

You'll build ELT pipelines and enterprise data platforms to power space manufacturing. You will enable data-driven decisions across engineering, operations, and business teams. This role offers exposure to cutting-edge aerospace and pharmaceutical data environments.

🎯 What You'll Do

• Build and maintain ELT pipelines from enterprise systems (ERP, CRM, PLM, QMS).
• Support data platform evaluations and research external solutions.
• Establish data quality frameworks, lineage tracking, and pipeline observability.
• Design feature pipelines for AI/ML workflows and governed knowledge layers.
• Implement CI/CD pipelines and enforce development best practices.

📋 Requirements

• 3+ years of experience in data engineering or enterprise integration.
• Cloud data warehouse platform experience (Snowflake, Databricks).
• SQL proficiency and Python or similar programming language.
• Data modeling knowledge (star schema, normalization, dimensional modeling).

✨ Nice to Have

• Database administration skills (schema design, performance tuning).
• Experience with Airflow or workflow orchestration tools.
• Exposure to aerospace, defense, or pharmaceutical data environments.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min