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, 1 day ago
Last seen 9 hours, 11 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 on AWS using technologies like Spark, Python, SQL, and data warehousing services (Redshift/Snowflake)
• Collaborate with Agile teams including machine learning engineers and product managers to solve complex business problems and deliver robust solutions for financial empowerment use cases
• Requires Bachelor's degree, 3+ years application development experience, and 1+ year big data technologies experience; preferred qualifications include 5+ years development, 2+ years AWS/cloud, and expertise in Spark, NoSQL, or streaming data
• Participate in code reviews, unit testing, and performance tuning while staying current with tech trends and mentoring other engineers
• No visa sponsorship available; candidates 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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