Capital One
Lead Data Engineer (Java, Python, AWS)
Capital One, Mc Lean, Virginia, us, 22107
Lead Data Engineer (Java, Python, AWS)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.
About the team:
Authorizations is a team in Card Technology group solving various data problems and use cases. We are currently working on building a config driven Data Loading Orchestrator and a simplified loader that serves as a common backend capability for loading all of the data features of several clients into low latency datastores. You will be able to immediately contribute to the Authorization data projects, and you will get the opportunity to use Java and Python. You will be challenged to problem solve and design solutions in a collaborative work environment where new ideas and solutions are encouraged and rewarded.
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.
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 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 including Python, SQL, Scala, or Java.
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, Spark, Gurobi, or MySQL).
4+ year experience working on real-time data and streaming applications.
4+ years of experience with NoSQL implementation (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, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).
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.
Illinois (Hybrid On-Site): $187,700 - $214,200 for Lead Data Engineer.
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.
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.
#J-18808-Ljbffr
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.
About the team:
Authorizations is a team in Card Technology group solving various data problems and use cases. We are currently working on building a config driven Data Loading Orchestrator and a simplified loader that serves as a common backend capability for loading all of the data features of several clients into low latency datastores. You will be able to immediately contribute to the Authorization data projects, and you will get the opportunity to use Java and Python. You will be challenged to problem solve and design solutions in a collaborative work environment where new ideas and solutions are encouraged and rewarded.
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.
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 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 including Python, SQL, Scala, or Java.
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, Spark, Gurobi, or MySQL).
4+ year experience working on real-time data and streaming applications.
4+ years of experience with NoSQL implementation (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, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).
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.
Illinois (Hybrid On-Site): $187,700 - $214,200 for Lead Data Engineer.
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.
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.
#J-18808-Ljbffr