Capital One
Lead Data Engineer (Python, Spark, AWS)
Capital One, Chicago, Illinois, United States, 60290
Lead Data Engineer (Python, Spark, 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:
We are a passionate, agile and hands-on team innovating solutions for Capital One’s credit card processing. The team is on an ambitious and pioneering journey to build a state-of-the-art ecosystem for building a modern credit card processing platform completely in house. Our tech stack is housed in the public cloud and uses the latest serverless patterns and application architectures. The team’s cluster is learning, innovation, and being thought leaders in the enterprise.
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.
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. 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.
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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:
We are a passionate, agile and hands-on team innovating solutions for Capital One’s credit card processing. The team is on an ambitious and pioneering journey to build a state-of-the-art ecosystem for building a modern credit card processing platform completely in house. Our tech stack is housed in the public cloud and uses the latest serverless patterns and application architectures. The team’s cluster is learning, innovation, and being thought leaders in the enterprise.
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.
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. 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.
#J-18808-Ljbffr