Principal Associate - Data Engineer
Reads like a Data Leadership role: running a data team.
Bangalore, In
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, develop, test, and support technical solutions with Agile teams
Lead a team of developers on machine learning and microservices systems
Build cloud-based solutions with digital product managers
Perform unit tests and code reviews to ensure performance and quality
Mentor other engineers and take part in technology communities
From the employer’s posting
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions
Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Collaborate with digital product managers, and deliver robust cloud-based solutions
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
participating in internal & external technology communities, and mentoring other members of the engineering community
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in engineering and computer science
Preferred experience
- Master’s degree in engineering and computer science
- 5+ years of experience in application development including Python, SQL, Scala, or Java
- 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
- 5+ year’s experience with Distributed data, computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
Qualification wording
Bachelor’s degree in engineering and computer science
Master’s degree in engineering and computer science
5+ years of experience in application development including Python, SQL, Scala, or Java
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
5+ year’s experience with Distributed data, computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
Education & alternatives
Basic Qualifications: - Bachelor’s degree in engineering and computer science - At least 6 years of experience in application development (Internship experience does not apply)
Preferred Qualifications: - Master’s degree in engineering and computer science - 5+ years of experience in application development including Python, SQL, Scala, or Java
Tools in this posting
- Java
- Python
- Scala
- Shell
- SQL
- AWS
- Azure
- Hadoop
- Hive
- Kafka
- MySQL
- NoSQL
- Redshift
- Snowflake
- Spark
- GCP
Source — Tool mentions in context
- Lead 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
- Master’s degree in engineering and computer science - 5+ years of experience in application development including Python, SQL, Scala, or Java - 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
- 4+ years of data warehousing experience (Redshift or Snowflake) - 4+ years of experience with UNIX, Linux including basic commands and shell scripting - 2+ years of experience with Agile engineering practices
- At least 2 years of experience in big data technologies - At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications:
- 5+ years of experience in application development including Python, SQL, Scala, or Java - 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) - 5+ year’s experience with Distributed data, computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
- 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) - 5+ year’s experience with Distributed data, computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) - 4+ year experience working on real-time data and streaming applications
- 4+ year experience working on real-time data and streaming applications - 4+ years of experience with NoSQL implementation (Mongo, Cassandra) - 4+ years of data warehousing experience (Redshift or Snowflake)
- 4+ years of experience with NoSQL implementation (Mongo, Cassandra) - 4+ years of data warehousing experience (Redshift or Snowflake) - 4+ years of experience with UNIX, Linux including basic commands and shell scripting
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 6, 2026 · 24 days ago
- Recorded sightings
- 83
- Last seen by us
- Oct 31, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on capitalone.wd12.myworkdayjobs.com. The employer’s form will show what is required.
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Job description
At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies.
As a Capital One Senior Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You’ll Do:
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
- Lead 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
Basic Qualifications:
- Bachelor’s degree in engineering and computer science
- At least 6 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)
Preferred Qualifications:
- Master’s degree in engineering and computer science
- 5+ years of experience in application development including Python, SQL, Scala, or Java
- 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
- 5+ year’s experience with Distributed data, computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
- 4+ year experience working on real-time data and streaming applications
- 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
- 4+ years of data warehousing experience (Redshift or Snowflake)
- 4+ years of experience with UNIX, Linux including basic commands and shell scripting
- 2+ years of experience with Agile engineering practices
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore, In
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
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