Capital One

Use cutting edge technologies to develop modern data pipelines supporting Machine Learning and Artificial Intelligence. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud). 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud). 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, or Spark). 4+ years of data warehousing experience (Redshift or Snowflake)

manager product management

Now hiring in Portland, ME

Locations: VA - McLean, United States of America, McLean, VirginiaLead Data EngineerDo 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 a Lead Data Engineer who is 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

Own technical roadmap and influence teams by leading technical discussions to deliver impactful data solutions


Drives impact beyond the scope of their project/team by building relationships and advocating for best practices


Use technical expertise to guide engineers to ensure data pipelines, data models and code are efficient and reliable


Design and develop scalable data architectures and systems that extract, store, and process large amounts of data


Develop and architect scalable data pipelines and ETL processes using programming languages such as Python, frameworks like Spark, and AWS services like EMR, Glue and Lambda


Collaborate with Data Scientists, Machine Learning Engineers, Business Analysts and/or Product Owners to understand their requirements and provide efficient solutions for data exploration, analysis, and modeling


Build highly available and scalable data solutions in an ambiguous environment while sharing design patterns with teams


Automate integrations and data pipelines using data governance and various testing techniques


Use cutting edge technologies to develop modern data pipelines supporting Machine Learning and Artificial Intelligence


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 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:

7+ years of experience in application development using Python


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


4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, or Spark)


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


4+ years of experience with NoSQL implementation (DynamoDB,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.

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.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 1-800-304-9102 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).

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