Lead Data Engineer (Python, AWS, Spark, SQL, Snowflake, Databricks, GenAI)
Capital One
🔍 Observed
66
Hiring Activity Score
Likely Active (65-79)
- Base score
- Posted 7 days ago
- has location, quality description (6781 chars)
- 5 skills
- Direct ATS (workday)
McLean, VA
First seen 1 week, 1 day ago
Last seen 4 hours, 12 minutes ago
Workday
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Try Direct Link (may be expired)Job Description
AI Summary
• Lead the design and development of scalable data pipelines and platforms using Python, SQL, Spark, AWS, Snowflake, and Databricks for the Marketing and Messaging team
• Mentor and collaborate with a team of data engineers on distributed computing and data movement solutions while staying current with emerging technologies like GenAI
• Required: Bachelor's degree, 4+ years application development experience, 2+ years big data technologies, and 1+ year cloud computing (AWS/Azure/GCP)
• Preferred: Master's degree, 7+ years application development with Python/SQL/Spark, 4+ years public cloud and distributed data computing experience, and familiarity with AI-assisted coding tools
• Work cross-functionally with product managers to deliver cloud-based solutions that optimize data quality, governance, and personalized customer experiences across omnichannel platforms
Skills
go
sql
aws
git
python
Quick Actions
Job Information
-
Company:
Capital One -
Location:
McLean, VA -
Job Type:
Full-Time -
Experience Level:
Senior -
Source:
Workday -
Status:
Active
Activity Score
66
/100
Likely Active (66)
Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →
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