Senior Data Engineer (Scala)
Locations:
VA - McLean, United States of America, McLean, Virginia Senior Data Engineer (Scala) 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 love to solve real problems and meet real customer needs.
We are seeking Data Engineers who will be a part of a team that'A cents ' not A cents cents s building new analytical and machine learning tools and frameworks to exploit advantages in the latest developments in cloud computing.
As a Capital One Data Engineer , you'A cents ' not A cents cents ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
Learn more about lifeatcapitalone and our commitment to diversity & inclusion by jumping to slides 76-91 on our Corporate Social Responsibility Report.
What You'A cents ' not A cents cents 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 Scala and Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as 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 conducting reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic
Qualifications:
Bachelor'A cents ' not A cents cents s Degree At least 4 years of experience in application development utilizing Scala or Python At least 1 year of experience in big data technologies (Cassandra, Spark, Flink, Kafka, Hive) At least 1 year of experience with Public Cloud services (Amazon Web Services, Azure, Google Cloud) At least 1 year of experience building data pipelines, batch data movement or data warehousing At least 1 year of experience working with SQL Database design and modeling Preferred
Qualifications:
Master's Degree 5 years of experience in application development 2 year experience working on streaming data applications (Spark Streaming, Kafka, Kinesis, Flink) 2 years of experience with Amazon Web Services (AWS), Microsoft Azure or another public cloud service 2 years of experience with Agile engineering practices 2 years in-depth experience with the Hadoop stack (MapReduce, Pig, Hive, Hbase) 2 years of experience with NoSQL implementation (Mongo, Cassandra) 2 years of experience developing Java based software solutions 2 years of experience developing software solutions to solve complex business problems At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
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Estimated Salary: $20 to $28 per hour based on qualifications.
VA - McLean, United States of America, McLean, Virginia Senior Data Engineer (Scala) 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 love to solve real problems and meet real customer needs.
We are seeking Data Engineers who will be a part of a team that'A cents ' not A cents cents s building new analytical and machine learning tools and frameworks to exploit advantages in the latest developments in cloud computing.
As a Capital One Data Engineer , you'A cents ' not A cents cents ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
Learn more about lifeatcapitalone and our commitment to diversity & inclusion by jumping to slides 76-91 on our Corporate Social Responsibility Report.
What You'A cents ' not A cents cents 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 Scala and Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as 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 conducting reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic
Qualifications:
Bachelor'A cents ' not A cents cents s Degree At least 4 years of experience in application development utilizing Scala or Python At least 1 year of experience in big data technologies (Cassandra, Spark, Flink, Kafka, Hive) At least 1 year of experience with Public Cloud services (Amazon Web Services, Azure, Google Cloud) At least 1 year of experience building data pipelines, batch data movement or data warehousing At least 1 year of experience working with SQL Database design and modeling Preferred
Qualifications:
Master's Degree 5 years of experience in application development 2 year experience working on streaming data applications (Spark Streaming, Kafka, Kinesis, Flink) 2 years of experience with Amazon Web Services (AWS), Microsoft Azure or another public cloud service 2 years of experience with Agile engineering practices 2 years in-depth experience with the Hadoop stack (MapReduce, Pig, Hive, Hbase) 2 years of experience with NoSQL implementation (Mongo, Cassandra) 2 years of experience developing Java based software solutions 2 years of experience developing software solutions to solve complex business problems At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
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Estimated Salary: $20 to $28 per hour based on qualifications.
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