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Sr. Data Engineer
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Capital One has partnered with iHire to reach top talent for their opening below. Check it out and apply via iHireTechnology today!
Sr. Data Engineer
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.
Who We Are Card Tech sits within the broader Technology organization at Capital One. We work alongside our Business Partners in Card to build Technology that enable their products and services to support Capital One’s customers and applications.
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 driver 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 in Python
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+ years of experience working on real‑time data and streaming applications
2+ years of experience with NoSQL implementation (DynamoDB, Cassandra)
2+ years of experience with data warehousing (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‑ CPT, J‑1, TN, E‑2, E‑3, L‑1 and O‑1, or any EADs or other forms of work authorization that require employer immigration support).
Richmond, VA: $144,200 – $164,600 for Senior 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.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws.
Capital One promotes a drug‑free workplace.
#J-18808-Ljbffr
Sr. Data Engineer
role at
iHire
Capital One has partnered with iHire to reach top talent for their opening below. Check it out and apply via iHireTechnology today!
Sr. Data Engineer
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.
Who We Are Card Tech sits within the broader Technology organization at Capital One. We work alongside our Business Partners in Card to build Technology that enable their products and services to support Capital One’s customers and applications.
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 driver 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 in Python
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+ years of experience working on real‑time data and streaming applications
2+ years of experience with NoSQL implementation (DynamoDB, Cassandra)
2+ years of experience with data warehousing (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‑ CPT, J‑1, TN, E‑2, E‑3, L‑1 and O‑1, or any EADs or other forms of work authorization that require employer immigration support).
Richmond, VA: $144,200 – $164,600 for Senior 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.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws.
Capital One promotes a drug‑free workplace.
#J-18808-Ljbffr