Lead Data Engineer (Intelligent Foundations and Experiences)
Capital One
🔍 Observed
65
Hiring Activity Score
Likely Active (65-79)
- Base score
- Posted 21 days ago
- has salary, has location, quality description (6518 chars)
- Direct ATS (workday)
3 Locations
First seen 3 weeks, 1 day ago
Last seen 11 hours, 17 minutes ago
Workday
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Try Direct Link (may be expired)Job Description
AI Summary
• Lead Data Engineer role focused on designing and developing full-stack data solutions using Java, Scala, Python, and cloud technologies (Redshift, Snowflake) within Capital One's intelligent foundations and experiences division
• Requires bachelor's degree, 4+ years application development experience, 2+ years big data technologies, and 1+ year cloud computing (AWS, Azure, or GCP)
• Preferred candidates have 7+ years development experience, 4+ years distributed data tools (Spark, Kafka, Hadoop), and 4+ years data warehousing or real-time streaming applications
• Collaborate across Agile teams with machine learning and microservices specialists to deliver cloud-based solutions for 100+ million customers and drive financial empowerment initiatives
• Opportunity to work on cutting-edge technology transformation at scale, stay current with tech trends, mentor engineers, and participate in technology communities
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Job Information
-
Company:
Capital One -
Location:
3 Locations -
Job Type:
Full-Time -
Experience Level:
Senior -
Source:
Workday -
Status:
Active
Activity Score
65
/100
Likely Active (65)
Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →
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