Enterprise Data Engineer/Architect(Aerospace/Defense)
Role details
Job location
Tech stack
Requirements
Do you have experience in Machine learning projects?, Software or data engineering experience, including hands-on AI/ML work.
Deep understanding of the AI landscape-you can evaluate vendor tools, understand RAG architectures, and advise on build-vs-buy tradeoffs.
Data platform architecture experience-you've designed and built systems on Databricks, Snowflake, or similar.
Strong technical leadership-you can set direction, mentor engineers, and interface effectively with non-technical stakeholders.
Hands-on ability-you're a player-coach who can write code when needed, not just draw diagrams
Strong experience in Python, C++/C, Java or a similar language
Experience with data warehouses, Databricks, Snowflake, BigQuery, or Redshift
ETL/ELT pipeline development, Fivetran, Airbyte, Stitch, or custom pipeline experience
API integration experience, REST, GraphQL; you're comfortable reading API docs and building integrations with enterprise SaaS tools
Data modeling skills, dimensional modeling, schema design, understanding of how data will be used downstream, * Data Engineering: 5 years (Required)
- AI: 4 years (Required)
- data warehouses: 5 years (Required)
Benefits & conditions
Pulled from the full job description
- Parental leave
- Health insurance
- 401(k) matching
- Paid time off
- Vision insurance
- Dental insurance
- Relocation assistance, * 401(k) matching
- Dental insurance
- Health insurance
- Paid time off
- Parental leave
- Relocation assistance
- Vision insurance