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 3 hours, 7 minutes ago
Workday
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Try Direct Link (may be expired)Job Description
AI Summary
• Design, develop, and implement full-stack data solutions using AWS, Spark, Python, and SQL in an Agile environment collaborating across teams
• Required: Bachelor's degree, 3+ years application development experience, and 1+ year big data technologies; Preferred: 5+ years dev experience, 2+ years public cloud, 3+ years distributed computing tools
• Work with machine learning and microservices teams to build cloud-based solutions on platforms like Redshift and Snowflake that serve millions of customers
• Conduct code reviews, unit testing, and performance tuning while staying current with emerging technologies and mentoring other engineers
• Note: No immigration sponsorship available for this position; role emphasizes continuous learning, tech community participation, and collaboration in a fast-paced environment
Skills
go
aws
java
git
sql
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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