Davita Inc.
Senior Lead 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 Senior Lead Data Engineer, you'll have the opportunity to be at the forefront of driving a major transformation within Capital One. 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. Lead 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 to deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment. Perform unit tests and conduct reviews with team members to ensure code is rigorously designed, elegantly coded, and effectively tuned for performance. Basic Qualifications:
Bachelor's Degree At least 6 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:
Master's Degree 9+ 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) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ years 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 Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The salary ranges vary by location and are listed for McLean, VA, Plano, TX, and Richmond, VA. This role is also eligible for performance-based incentives. Capital One offers comprehensive benefits supporting your well-being. For accommodations or questions about the application process, contact Capital One Recruiting or email RecruitingAccommodation@capitalone.com. All information will be kept confidential. Capital One is an equal opportunity employer and promotes a drug-free workplace. For more information or support, contact Careers@capitalone.com.
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Data Engineers
who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you'll have the opportunity to be at the forefront of driving a major transformation within Capital One. 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. Lead 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 to deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment. Perform unit tests and conduct reviews with team members to ensure code is rigorously designed, elegantly coded, and effectively tuned for performance. Basic Qualifications:
Bachelor's Degree At least 6 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:
Master's Degree 9+ 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) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ years 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 Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The salary ranges vary by location and are listed for McLean, VA, Plano, TX, and Richmond, VA. This role is also eligible for performance-based incentives. Capital One offers comprehensive benefits supporting your well-being. For accommodations or questions about the application process, contact Capital One Recruiting or email RecruitingAccommodation@capitalone.com. All information will be kept confidential. Capital One is an equal opportunity employer and promotes a drug-free workplace. For more information or support, contact Careers@capitalone.com.
#J-18808-Ljbffr