Capital One
Sr. Data Engineer (AWS computing, SFG File Transfer, Databricks, Python)
Capital One, Richmond, Virginia, United States, 23214
Sr. Data Engineer (AWS computing, SFG File Transfer, Databricks, Python) – Capital One
Join to apply for the Sr. Data Engineer role at Capital One. We are seeking Data Engineers who are passionate about marrying data with emerging technologies and solving real customer problems in a fast-paced, collaborative environment. As a Capital One Data Engineer, you’ll have the opportunity to be on 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
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 (AWS) data warehousing services such as Redshift and Snowflake
Share passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal and 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 ensure 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+ years experience working on real-time data and streaming applications
2+ years of experience with NoSQL implementation (Mongo, Cassandra)
2+ years of data warehousing experience (Databricks, Redshift or Snowflake)
1+ years of experience with SFG File Transfer
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.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries are for candidates hired to perform work within one of these locations and may vary by location and offer letter. Salaries for part-time roles will be prorated.
McLean, VA: $158,600 - $181,000 for Senior Data Engineer
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 bonuses and/or long-term incentives. Capital One offers a comprehensive, inclusive set of health, financial and other benefits. Eligibility varies by status. Details at Capital One Careers.
This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE) committed to non-discrimination in compliance with applicable laws. Capital One promotes a drug-free workplace and will consider qualified applicants with a criminal history in a manner consistent with applicable laws.
If you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or RecruitingAccommodation@capitalone.com. For technical questions about the recruiting process, email Careers@capitalone.com.
Capital One does not provide, endorse nor guarantee third-party products or services available through this site. Positions posted in Canada, the United Kingdom, or the Philippines are for those respective Capital One entities.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
#J-18808-Ljbffr
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 (AWS) data warehousing services such as Redshift and Snowflake
Share passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal and 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 ensure 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+ years experience working on real-time data and streaming applications
2+ years of experience with NoSQL implementation (Mongo, Cassandra)
2+ years of data warehousing experience (Databricks, Redshift or Snowflake)
1+ years of experience with SFG File Transfer
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.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries are for candidates hired to perform work within one of these locations and may vary by location and offer letter. Salaries for part-time roles will be prorated.
McLean, VA: $158,600 - $181,000 for Senior Data Engineer
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 bonuses and/or long-term incentives. Capital One offers a comprehensive, inclusive set of health, financial and other benefits. Eligibility varies by status. Details at Capital One Careers.
This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE) committed to non-discrimination in compliance with applicable laws. Capital One promotes a drug-free workplace and will consider qualified applicants with a criminal history in a manner consistent with applicable laws.
If you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or RecruitingAccommodation@capitalone.com. For technical questions about the recruiting process, email Careers@capitalone.com.
Capital One does not provide, endorse nor guarantee third-party products or services available through this site. Positions posted in Canada, the United Kingdom, or the Philippines are for those respective Capital One entities.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
#J-18808-Ljbffr