Capital One
Lead Data Engineer in Banking Technology
Capital One, Washington, District of Columbia, us, 20022
Lead Data Engineer (Banking Technology)
Are you passionate about pioneering advancements in technology and solving intricate business challenges? At Capital One, you'll join a vibrant community of innovators who are committed to creating solutions that meet the needs of real customers. As a Lead Data Engineer, you'll play a crucial role in driving transformative change within Capital One.
Key Responsibilities:
Collaborate with Agile teams to architect, develop, and support comprehensive technical solutions across full-stack development tools and technologies.
Lead a team of developers experienced in machine learning, distributed microservices, and full-stack systems.
Employ programming languages such as Java, Scala, Python along with Open Source RDBMS and NoSQL databases; leverage cloud-based data warehousing services such as Redshift and Snowflake.
Stay abreast of technological trends, engage in experimentation with new tools, and participate in internal and external tech communities while mentoring engineering peers.
Work alongside digital product managers to deliver robust cloud-based solutions that empower millions of Americans financially.
Conduct unit tests and review code with team members to ensure high quality, efficient, and optimized performance.
Basic Qualifications: Bachelor's Degree.
At least 3 years of application development experience (internships excluded).
Minimum of 1 year of experience with big data technologies.
Preferred Qualifications: 5+ years of application development experience including Python, SQL, Scala, or Java.
2+ years of experience with public cloud platforms (AWS, Microsoft Azure, Google Cloud).
3+ years of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
2+ years of experience in real-time data and streaming applications.
2+ years of NoSQL implementation experience (Mongo, Cassandra).
2+ years of experience with data warehousing solutions (Redshift or Snowflake).
3+ years of experience with UNIX/Linux including shell scripting and command execution.
2+ years of experience with Agile engineering methodologies.
Note: Capital One will not sponsor new applicants for employment authorization, including but not limited to H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or any other type of work authorization. The salary for this position ranges as follows: McLean, VA: $158,600 - $181,000; Richmond, VA: $144,200 - $164,600. Actual salary will be determined at the time of hire based on location and experience. This role is also eligible for performance-based incentive compensation, which may include cash bonuses or long-term incentives. Capital One offers a comprehensive benefits package that supports total well-being. Capital One is an equal opportunity employer, committed to diversity and inclusion. We encourage all qualified applicants to apply, regardless of sex, race, age, national origin, religion, disability, marital status, sexual orientation, gender identity, or any other basis prohibited by applicable law.
Lead a team of developers experienced in machine learning, distributed microservices, and full-stack systems.
Employ programming languages such as Java, Scala, Python along with Open Source RDBMS and NoSQL databases; leverage cloud-based data warehousing services such as Redshift and Snowflake.
Stay abreast of technological trends, engage in experimentation with new tools, and participate in internal and external tech communities while mentoring engineering peers.
Work alongside digital product managers to deliver robust cloud-based solutions that empower millions of Americans financially.
Conduct unit tests and review code with team members to ensure high quality, efficient, and optimized performance.
Basic Qualifications: Bachelor's Degree.
At least 3 years of application development experience (internships excluded).
Minimum of 1 year of experience with big data technologies.
Preferred Qualifications: 5+ years of application development experience including Python, SQL, Scala, or Java.
2+ years of experience with public cloud platforms (AWS, Microsoft Azure, Google Cloud).
3+ years of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
2+ years of experience in real-time data and streaming applications.
2+ years of NoSQL implementation experience (Mongo, Cassandra).
2+ years of experience with data warehousing solutions (Redshift or Snowflake).
3+ years of experience with UNIX/Linux including shell scripting and command execution.
2+ years of experience with Agile engineering methodologies.
Note: Capital One will not sponsor new applicants for employment authorization, including but not limited to H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or any other type of work authorization. The salary for this position ranges as follows: McLean, VA: $158,600 - $181,000; Richmond, VA: $144,200 - $164,600. Actual salary will be determined at the time of hire based on location and experience. This role is also eligible for performance-based incentive compensation, which may include cash bonuses or long-term incentives. Capital One offers a comprehensive benefits package that supports total well-being. Capital One is an equal opportunity employer, committed to diversity and inclusion. We encourage all qualified applicants to apply, regardless of sex, race, age, national origin, religion, disability, marital status, sexual orientation, gender identity, or any other basis prohibited by applicable law.