Lead Data Engineer (AWS, EMR, Python, Databricks, Apache Airflow)
Capital One
🔍 Observed
65
Hiring Activity Score
Likely Active (65-79)
- Base score
- Posted 21 days ago
- has salary, has location, quality description (6280 chars)
- Direct ATS (workday)
2 Locations
First seen 3 weeks ago
Last seen 5 hours, 9 minutes ago
Workday
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Try Direct Link (may be expired)Job Description
AI Summary
• Lead the design, development, and implementation of scalable data solutions using AWS, EMR, Databricks, and Apache Airflow to enable AI/ML and real-time customer experiences across Capital One
• Collaborate with cross-functional Agile teams and mentor engineers while working with distributed systems, microservices, and full-stack technologies including Python, Java, Scala, and cloud data warehouses like Redshift and Snowflake
• Requires Bachelor's degree, 4+ years application development experience, 2+ years big data technologies, and 1+ year cloud computing; preferred candidates have 7+ years development experience and 4+ years with distributed computing tools and cloud platforms
• Must be authorized to work in the US without sponsorship; role involves code reviews, unit testing, and performance tuning in a fast-paced, collaborative environment
• Opportunity to drive major technology transformation within Capital One while staying current with emerging tech trends and contributing to the broader engineering community
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Job Information
-
Company:
Capital One -
Location:
2 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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