Capital One
Direct employer career site

Data Engineer 4, Real-time Data Platform

Pay
$179,400 – $204,700 per year
Location
Plano, TX · On-site
Job type
Full-time
Level
Lead / Staff
Experience
4+ years
Education
Bachelor's degree
Listed
13 days ago

Skills & highlights for this role

  • SQL
  • Java, Python, or Scala
  • Data Pipeline Design and Development
  • Distributed Data Systems
  • Data Modeling
  • Relational and Non-relational Databases

Also useful

  • Flink
  • Spark
  • Kafka
  • Snowflake
  • Redshift
  • AWS
  • Microsoft Azure
  • Google Cloud

About the role

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, 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 Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You'll Do

  • Lead design and build Enterprise Level scalable, low-latency, fault-tolerant streaming data platform that provides meaningful and timely insights
  • Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) using programming languages like Java, Scala, Python
  • Lead a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets
  • Influence best practices for Data Pipeline design, Data architecture and processing of structured and unstructured data.
  • Work in a creative & collaborative environment driven by agile methodologies with focus on CI/CD, Application Resiliency Standards, and partnership with Cyber & Security teams
  • 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 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
  • 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 or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
  • At least 4 years of experience in application development (Internship experience does not apply)
  • At least 2 years of experience in distributed data
  • At least 2 years of experience with SQL
  • At least 2 years of experience with one programming language (Python, Java, or Scala)
  • At least 2 years of experience in data pipeline design and development
  • At least 1 year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems

Preferred Qualifications

  • 7+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java
  • 4+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)
  • 4+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
  • 4+ years of experience designing, implementing, and operating real-time or streaming data pipelines
  • 2+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
  • 4+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
  • 4+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
  • 2+ years of experience working in an Agile development environment
  • 2+ years of experience developing user-centric reusable data products

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Plano, TX: $179,400 - $204,700 for Data Engineer 4

Pay and benefits

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the

Capital One Careers website

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

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 or via email at

For technical support or questions about Capital One's recruiting process, please send an email to

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).

Read the original posting

From Capital One's careers page, first listed on Rolev.ai on October 27, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

What is the salary for the Data Engineer 4, Real-time Data Platform role at Capital One?

The Data Engineer 4, Real-time Data Platform posting at Capital One states compensation of $179,400 – $204,700 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Capital One's official career site.

Where is the Data Engineer 4, Real-time Data Platform job at Capital One located?

This Data Engineer 4, Real-time Data Platform position at Capital One is located in Plano, TX (On-site). Always check Capital One's application page for specific state eligibility or relocation policies.

What qualifications are required for Data Engineer 4, Real-time Data Platform at Capital One?

For the Data Engineer 4, Real-time Data Platform role, Capital One highlights 4+ years of relevant experience; a bachelor's degree; experience with SQL, Java, Python, or Scala, Data Pipeline Design and Development, Distributed Data Systems, Data Modeling, Relational and Non-relational Databases. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Data Engineer 4, Real-time Data Platform position at Capital One?

This listing links directly to Capital One's application page. You can apply directly on Capital One's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.