SENIOR DATA ENGINEER

3 weeks ago

Wichita Falls, United States Capital One Full time
Center 1 (19052), United States of America, McLean, Virginia

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.

Capital One is looking for an experienced Senior Data Engineer to join our Sales Data Team, dedicated to innovating and optimizing our data pipeline architecture. In this crucial role, you will be responsible for building and maintaining sophisticated data pipelines that ingest data from major auto customers, utilizing advanced AWS services including EMR, S3, and EC2. Your work will directly empower sales associates by providing actionable data insights and analytics that drive business development and strategic decision-making. With your expertise in Python and cloud-based data solutions, you will play a key role in enhancing our analytics capabilities and transforming raw data into valuable business intelligence. This is an exceptional opportunity to impact Capital One?s market strategies and contribute to our mission of leveraging technology to bring ground-breaking changes to the financial industry. If you are driven by the challenge of turning complex datasets into meaningful insights and thrive in a dynamic, collaborative environment, join us in redefining the future of banking.

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).

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