Capital One
Senior Data Engineer (Python, Spark, AWS)
Capital One, Chicago, Illinois, United States, 60290
Senior 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 Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.About the Team:Yodas is a backend team based in Chicago working in Card Data Engineering and Analytics that provides marketing data for campaigns and affiliates like Capital One Shopping. We are currently finishing our migration of components to serverless, where we are working on modernization and will be touching data pipelines (AWS EMR and Glue) data orchestration and APIs (AWS Lambda, Python). There will be opportunities for designing and maintaining new data pipelines as more and more Line of Business (LOBs) continue to define their marketing and data analytics use cases.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 3 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 (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).2+ year experience working on real-time data and streaming applications.2+ years of experience with NoSQL implementation (Mongo, Cassandra).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, 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): $153,900 - $175,700 for Senior Data Engineer.Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.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.
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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 Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.About the Team:Yodas is a backend team based in Chicago working in Card Data Engineering and Analytics that provides marketing data for campaigns and affiliates like Capital One Shopping. We are currently finishing our migration of components to serverless, where we are working on modernization and will be touching data pipelines (AWS EMR and Glue) data orchestration and APIs (AWS Lambda, Python). There will be opportunities for designing and maintaining new data pipelines as more and more Line of Business (LOBs) continue to define their marketing and data analytics use cases.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 3 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 (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).2+ year experience working on real-time data and streaming applications.2+ years of experience with NoSQL implementation (Mongo, Cassandra).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, 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): $153,900 - $175,700 for Senior Data Engineer.Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.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.
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