Capital One
Senior Data Engineer Lead (Python, EMR, Databricks, AWS)
Capital One, Plano, Texas, us, 75086
Join Our Team as a Senior Data Engineer Lead!
Are you passionate about innovative technology and solving complex business challenges? At Capital One, we thrive on collaboration, inclusion, and delivering impactful solutions in a fast-paced environment. As a
Senior Data Engineer Lead , you'll play a key role in driving significant transformations at Capital One, working alongside a talented group of makers, breakers, and doers who aim to create real customer value. Your Responsibilities Will Include: Collaborating with Agile teams to design, develop, test, and implement full-stack technical solutions.
Leading a team of skilled developers specialized in machine learning, distributed microservices, and full-stack systems.
Utilizing programming languages such as Java, Scala, and Python, as well as RDBMS and NoSQL databases, alongside cloud-based data warehousing services like Redshift and Snowflake.
Staying current with tech trends, experimenting with new technologies, and actively participating in technology communities while mentoring fellow engineers.
Working closely with digital product managers to deliver robust cloud-based solutions that enhance financial empowerment for millions of Americans.
Conducting unit tests and peer code reviews to ensure high-quality, efficient code.
Basic Qualifications: Bachelor's Degree.
A minimum of 6 years of experience in application development.
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.
9+ years of application development experience, including proficiency in Python, SQL, Scala, or Java.
4+ years of experience with a public cloud service (AWS, Microsoft Azure, Google Cloud).
5+ years working with distributed data/computing tools (e.g., MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, MySQL).
4+ years of experience in real-time data and streaming applications.
4+ years of NoSQL implementation experience (e.g., Mongo, Cassandra).
4+ years of data warehousing experience (e.g., Redshift, Snowflake).
4+ years of UNIX/Linux experience, including shell scripting.
2+ years practicing Agile engineering methodologies.
This position is based in
Cambridge, MA ,
McLean, VA ,
Plano, TX , and
Richmond, VA . The minimum and maximum salaries for this role are $225,400 - $257,200 in Cambridge, MA and McLean, VA; $204,900 - $233,800 in Plano, TX; and $204,900 - $233,800 in Richmond, VA. Join us at Capital One where your work contributes to building a better financial future for millions. This role is open to applicants for a minimum of 5 business days. Let's revolutionize the financial tech landscape together!
Senior Data Engineer Lead , you'll play a key role in driving significant transformations at Capital One, working alongside a talented group of makers, breakers, and doers who aim to create real customer value. Your Responsibilities Will Include: Collaborating with Agile teams to design, develop, test, and implement full-stack technical solutions.
Leading a team of skilled developers specialized in machine learning, distributed microservices, and full-stack systems.
Utilizing programming languages such as Java, Scala, and Python, as well as RDBMS and NoSQL databases, alongside cloud-based data warehousing services like Redshift and Snowflake.
Staying current with tech trends, experimenting with new technologies, and actively participating in technology communities while mentoring fellow engineers.
Working closely with digital product managers to deliver robust cloud-based solutions that enhance financial empowerment for millions of Americans.
Conducting unit tests and peer code reviews to ensure high-quality, efficient code.
Basic Qualifications: Bachelor's Degree.
A minimum of 6 years of experience in application development.
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.
9+ years of application development experience, including proficiency in Python, SQL, Scala, or Java.
4+ years of experience with a public cloud service (AWS, Microsoft Azure, Google Cloud).
5+ years working with distributed data/computing tools (e.g., MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, MySQL).
4+ years of experience in real-time data and streaming applications.
4+ years of NoSQL implementation experience (e.g., Mongo, Cassandra).
4+ years of data warehousing experience (e.g., Redshift, Snowflake).
4+ years of UNIX/Linux experience, including shell scripting.
2+ years practicing Agile engineering methodologies.
This position is based in
Cambridge, MA ,
McLean, VA ,
Plano, TX , and
Richmond, VA . The minimum and maximum salaries for this role are $225,400 - $257,200 in Cambridge, MA and McLean, VA; $204,900 - $233,800 in Plano, TX; and $204,900 - $233,800 in Richmond, VA. Join us at Capital One where your work contributes to building a better financial future for millions. This role is open to applicants for a minimum of 5 business days. Let's revolutionize the financial tech landscape together!