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Senior Data Engineer

Capital One • Plano, TX 75086 • Posted 3 days ago

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In-person • Full-time • Senior Level

Job Highlights

Using AI ⚡ to summarize the original job post

As a Senior Data Engineer at Capital One, you will be pioneering in the technology space, solving complex business problems in a fast-paced, inclusive, and iterative delivery environment. You will work on creating One Stream data pipelines for real-time consumption and building reports in tools like Tableau, ThoughtSpot to provide insights to stakeholders. This role involves working with ML algorithms, AI solutions, and automated chatbots, focusing on innovation in both engineering and analytics.

Responsibilities

  • Be a part of a team designing and building 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
  • 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 tech trends, experiment with new technologies, participate in internal & external technology communities, and mentor other engineers
  • 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
  • Perform unit tests and conduct reviews with other team members to ensure code is rigorously designed, elegantly coded, and effectively tuned for performance

Qualifications

Required

  • Bachelor's Degree
  • At least 4 years of experience in application development (Internship experience does not apply)
  • At least 1 year of experience in big data technologies

Preferred

  • 5+ years of experience in application development including Python, SQL, Scala, or Java
  • 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
  • 3+ years experience with Distributed data computing tools (Kafka, Spark, Flink)
  • 2+ year experience working on real-time data and streaming applications
  • 2+ years of experience with NoSQL implementation (DynamoDB, OpenSearch)
  • 2+ years of data warehousing experience (Redshift or Snowflake)
  • 3+ years of experience with UNIX/Linux including basic commands and shell scripting
  • 2+ years of experience with Agile engineering practices

About Capital One

Capital One is a diversified financial services company specializing in credit cards, loans, banking, and savings products for individuals, small businesses, and commercial clients. Headquartered in McLean, Virginia, United States, it was founded in 1988 and has expanded its offerings to include various financial services such as auto loans, personal loans, mortgages, and online banking. Capital One has subsidiaries and branches in Canada and the United Kingdom, and is known for its innovation and customer-centric approach in the competitive financial services industry.

Full Job Description

Plano 7 (31067), United States of America, Plano, Texas

Senior Data Engineer

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.

As a data engineer for the Sales Data Engineering and Analytics team, you will get to work on the most cutting-edge Fintech products that Capital One is building for its customers. You will be working on creating One Stream data pipelines for real time consumptions as well as building reports in Tableau, ThoughtSpot, and other tools to provide insights to stakeholders which includes multiple VPs and Directors. This team uses ML algorithms, AI solutions and automated chatbots. If you are passionate about innovation in both engineering and analytics, come join our team!

What You'll Do:
  • Be a part of team designing and building 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
  • Be part of 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
  • 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
  • At least 4 years of experience in application development (Internship experience does not apply)
  • At least 1 year of experience in big data technologies


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, Google Cloud)
  • 3+ years experience with Distributed data computing tools (Kafka, Spark, Flink)
  • 2+ year experience working on real-time data and streaming applications
  • 2+ years of experience with NoSQL implementation (DynamoDB, OpenSearch)
  • 2+ years of data warehousing experience (Redshift or Snowflake)
  • 3+ 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.

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 . 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.

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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.

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- or via email at . 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

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).