Capital One
Senior Lead Data Engineer (Snowflake, Databricks, Apache Iceberg, Spark + SQL wo
Capital One, Mc Lean, Virginia, us, 22107
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Senior Lead Data Engineer (Snowflake, Databricks, Apache Iceberg, Spark + SQL workload optimizations)
role at
Capital One
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 on the forefront of driving a major transformation within the organization.
What You’ll Do
Collaborate with and across Agile teams to design/architect, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
Lead workload optimization and develop/architect capabilities to drive optimizations at scale (e.g., SQL, Spark optimizations).
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, Snowflake and Databricks.
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 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 of experience with cloud computing (AWS, Microsoft Azure, Google Cloud).
Preferred Qualifications
Master's Degree.
4+ years of data warehousing experience (Snowflake, Databricks, Redshift).
9+ years of experience in application development including Python, SQL, Scala, or Java.
2+ years of experience engineering/leveraging Machine Learning & Gen AI capabilities and tools (Iceberg, Delta adoption, Cortext).
5+ years experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
4+ years of experience with AWS cloud services or other public cloud platforms (Microsoft Azure, Google Cloud).
4+ years experience working on large-scale data platforms.
4+ years of experience with NoSQL implementation (Mongo, Cassandra).
4+ years of experience with UNIX/Linux including basic commands and shell scripting.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below by location:
McLean, VA: $225,400 - $257,200
New York, NY: $245,900 - $280,600
Richmond, VA: $204,900 - $233,800
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
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.
Capital One expects to accept applications for a minimum of 5 business days.
No agencies please. 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. 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.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One’s recruiting process, please send an email to Careers@capitalone.com.
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
#J-18808-Ljbffr
Senior Lead Data Engineer (Snowflake, Databricks, Apache Iceberg, Spark + SQL workload optimizations)
role at
Capital One
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 on the forefront of driving a major transformation within the organization.
What You’ll Do
Collaborate with and across Agile teams to design/architect, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
Lead workload optimization and develop/architect capabilities to drive optimizations at scale (e.g., SQL, Spark optimizations).
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, Snowflake and Databricks.
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 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 of experience with cloud computing (AWS, Microsoft Azure, Google Cloud).
Preferred Qualifications
Master's Degree.
4+ years of data warehousing experience (Snowflake, Databricks, Redshift).
9+ years of experience in application development including Python, SQL, Scala, or Java.
2+ years of experience engineering/leveraging Machine Learning & Gen AI capabilities and tools (Iceberg, Delta adoption, Cortext).
5+ years experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
4+ years of experience with AWS cloud services or other public cloud platforms (Microsoft Azure, Google Cloud).
4+ years experience working on large-scale data platforms.
4+ years of experience with NoSQL implementation (Mongo, Cassandra).
4+ years of experience with UNIX/Linux including basic commands and shell scripting.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below by location:
McLean, VA: $225,400 - $257,200
New York, NY: $245,900 - $280,600
Richmond, VA: $204,900 - $233,800
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
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.
Capital One expects to accept applications for a minimum of 5 business days.
No agencies please. 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. 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.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One’s recruiting process, please send an email to Careers@capitalone.com.
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
#J-18808-Ljbffr