Lead Data Engineer, AWS, Python, SQL
Content + Source + Freshness • 16 Dec 2025 • 95% confidence
Offer value
High value due to strong compensation package, opportunity for professional growth in a leading financial institution, and significant technical expertise required.
- Competitive salary: $175,800 - $220,700/year
- Strong career advancement opportunities at Capital One
- Engagement with cutting-edge technology and mentorship roles
- Required experience may be a barrier for less seasoned professionals
Pros
- Attractive salary range ($175,800 - $220,700/year)
- Opportunity to work at a well-established financial services company (Capital One)
- Involvement in cutting-edge technology and mentoring opportunities in a collaborative environment
Cons
- High competition due to the desirable industry and compensation
- Requires extensive relevant experience (7+ years)
- Involves significant technical and performance expectations
Who it's for
Senior • In-office with potential for remote collaboration
Good fit
- Senior data engineers with extensive experience in Python and AWS
- Professionals seeking to leverage big data technologies in finance
- Collaborative team players eager to mentor others
Not recommended for
- Those without the required investment of 7+ years in engineering roles
- Candidates unfamiliar with cloud technology or Agile methodologies
- Individuals seeking only remote, non-collaborative work environments
Motivation fit
Key skills
About the job
• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Requirements
- Bachelor’s Degree
- At least 4 years of experience in application development (Internship experience does not apply)
- At least 2 years of experience in big data technologies
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
- 7+ years of experience in application development including Python, SQL, Scala, or Java (Preferred)
- 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (Preferred)
- 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (Preferred)
- 4+ year experience working on real-time data and streaming applications (Preferred)
- 4+ years of experience with NoSQL implementation (Mongo, Cassandra) (Preferred)
- 4+ years of data warehousing experience (Redshift or Snowflake) (Preferred)
- 4+ years of experience with UNIX/Linux including basic commands and shell scripting (Preferred)
- 2+ years of experience with Agile engineering practices (Preferred)
🔍 ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.
Hard Skills
- Java
- Scala
- Python
- SQL
- NoSQL
- MapReduce
- Hadoop
- Hive
- Redshift
- Snowflake
Soft Skills
- collaboration
- mentoring
- communication
- problem-solving
- teamwork
Certifications & Qualifications
- Bachelor’s Degree
