Capital One
Senior Data Solutions Engineer
Are you passionate about leveraging data and technology to shape innovative solutions? At Capital One, you will be joining a dynamic team committed to solving complex business challenges in a fast-paced, collaborative, and iterative environment. As a Senior Data Solutions Engineer at Capital One, you will have the chance to lead significant transformations and drive impactful changes.
What You'll Do:
Work collaboratively within Agile teams to design, develop, test, and implement cutting-edge technical solutions.
Join forces with skilled developers experienced in machine learning, distributed microservices, and full-stack systems.
Utilize programming languages such as Java, Scala, and Python, along with Open Source RDBMS and NoSQL databases, alongside cloud-based data warehousing services like Redshift and Snowflake.
Stay ahead of technological trends, continuously experiment with new technologies, actively participate in tech communities, and mentor others in the engineering field.
Collaborate closely with digital product managers to deliver robust cloud-based solutions that empower millions of customers in their financial journeys.
Conduct unit tests and participate in peer reviews to ensure your code is designed with rigor, elegantly coded, and optimized for performance.
Basic Qualifications: Bachelor's Degree.
4+ years of application development experience (Internship experience does not apply).
2+ years of experience in big data technologies.
1+ year of experience with cloud computing (AWS, Microsoft Azure, or Google Cloud).
Preferred Qualifications: 7+ years of application development experience, including Python, SQL, Scala, or Java.
4+ years of experience with a public cloud (AWS, Microsoft Azure, or Google Cloud).
4+ years of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
4+ years of experience working on real-time data and streaming applications.
4+ years of NoSQL implementation experience (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.
This position is based in McLean, VA; Plano, TX; or Richmond, VA, with a salary range of $175,800 - $220,700 depending on location. Note that this role does not provide sponsorship for employment authorization. At Capital One, we believe in a comprehensive benefits package aimed at supporting your total well-being. Explore the varied health, financial, and other benefits available to our employees. We are an equal opportunity employer committed to diversity and inclusion, fostering a drug-free workplace, and considering qualified applicants with a criminal history in compliance with applicable laws.
Join forces with skilled developers experienced in machine learning, distributed microservices, and full-stack systems.
Utilize programming languages such as Java, Scala, and Python, along with Open Source RDBMS and NoSQL databases, alongside cloud-based data warehousing services like Redshift and Snowflake.
Stay ahead of technological trends, continuously experiment with new technologies, actively participate in tech communities, and mentor others in the engineering field.
Collaborate closely with digital product managers to deliver robust cloud-based solutions that empower millions of customers in their financial journeys.
Conduct unit tests and participate in peer reviews to ensure your code is designed with rigor, elegantly coded, and optimized for performance.
Basic Qualifications: Bachelor's Degree.
4+ years of application development experience (Internship experience does not apply).
2+ years of experience in big data technologies.
1+ year of experience with cloud computing (AWS, Microsoft Azure, or Google Cloud).
Preferred Qualifications: 7+ years of application development experience, including Python, SQL, Scala, or Java.
4+ years of experience with a public cloud (AWS, Microsoft Azure, or Google Cloud).
4+ years of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
4+ years of experience working on real-time data and streaming applications.
4+ years of NoSQL implementation experience (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.
This position is based in McLean, VA; Plano, TX; or Richmond, VA, with a salary range of $175,800 - $220,700 depending on location. Note that this role does not provide sponsorship for employment authorization. At Capital One, we believe in a comprehensive benefits package aimed at supporting your total well-being. Explore the varied health, financial, and other benefits available to our employees. We are an equal opportunity employer committed to diversity and inclusion, fostering a drug-free workplace, and considering qualified applicants with a criminal history in compliance with applicable laws.