Senior Associate - Data Engineer

Capital One

Bengaluru, INonsitePosted Jun 25, 2026

Skills

databrickssnowflakecassandraredshifthadooppythonazuresparkkafkamongomysqlscalajavaemraws

About the role

Voyager (94001), India, Bangalore, Karnātaka

Senior Associate - Data Engineer

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? 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 Lead 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

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

Have a high bar for quality, 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 Computer Science or Engineering

At least 2 years of experience in application development (Internship experience does not apply)

At least 1 year 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

2+ years of experience with a public cloud (AWS, Microsoft Azure or Google Cloud)

1+ years experience with Distributed data/computing tools (Databricks, Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi or MySQL)

1+ year experience working on real-time data and streaming applications

1+ years of experience with NoSQL implementation (Mongo, Cassandra)

1+ years of data warehousing experience (Redshift or Snowflake)

1+ years of experience with UNIX/Linux including basic commands and shell scripting

1+ 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).

Questions about this role

Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

Compensation for Data Engineer roles in India varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Data Engineer hub for India medians across recent openings.

Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, LinkedIn Easy Apply, and most other ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.