Senior Data Engineer (AWS, Spark, Python, SQL)
Capital One
🔍 Observed
66
Hiring Activity Score
Likely Active (65-79)
- Base score
- Posted 21 days ago
- has location, quality description (5913 chars)
- 6 skills
- High confidence (90%)
- Direct ATS (workday)
New York, NY
First seen 3 weeks ago
Last seen 4 hours, 56 minutes ago
Workday
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Try Direct Link (may be expired)Job Description
AI Summary
• Design, develop, and implement full-stack cloud-based data solutions using AWS, Spark, Python, and SQL in an Agile environment
• Collaborate with machine learning engineers and product managers to build distributed systems and data pipelines that serve millions of customers
• Requires Bachelor's degree, 3+ years application development experience, and 1+ year big data technologies experience
• Preferred qualifications include 5+ years development experience, 2+ years AWS/cloud, 3+ years distributed computing tools (Spark, Hadoop, EMR), and data warehousing expertise
• Capital One does not sponsor visa candidates for this position; must have existing work authorization in the United States
Skills
sql
go
java
aws
git
python
Quick Actions
Job Information
-
Company:
Capital One -
Location:
New York, NY -
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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