Enterprise Data Engineer/Architect(Aerospace/Defense)
About the role
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
Pay: $165,000.00 - $285,000.00 per year
Benefits:
401(k) matching
Dental insurance
Health insurance
Paid time off
Parental leave
Relocation assistance
Vision insurance
Experience:
Data Engineering: 5 years (Required)
AI: 4 years (Required)
data warehouses: 5 years (Required)
Work Location: In person
Compensation
This Data Engineer role pays $165k-$285k/yr. Within typical range for data engineer roles in United States.
Questions about this role
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What's the typical salary for Data Engineer in United States?
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