Are you passionate about innovation in technology? Do you thrive in solving intricate business challenges within a dynamic, inclusive, and collaborative environment? At Capital One, you will join a vibrant community of innovators dedicated to making a difference. We're looking for experienced Data Engineers eager to combine data with cutting-edge technologies. As a Senior Lead Data Solutions Engineer at Capital One, you will play a pivotal role in driving transformational initiatives.
What You'll Do: - Work closely with Agile teams to design, develop, test, implement, and support comprehensive technical solutions with a focus on full-stack development.
- Lead a talented team of developers experienced in machine learning, distributed microservices, and end-to-end systems.
- Utilize a variety of programming languages such as Java, Scala, and Python, along with open-source RDBMS and NoSQL databases, as well as cloud-based data warehousing solutions like Redshift and Snowflake.
- Stay ahead of the curve by keeping updated on technology trends, experimenting with new tools, engaging in tech communities, and mentoring fellow engineers.
- Collaborate with digital product managers to deliver robust cloud-based solutions that empower millions of Americans on their financial journeys.
- Conduct thorough unit tests and peer reviews to ensure your code is well-designed, optimized, and performance-tuned.
Basic Qualifications: - Bachelor's Degree.
- A minimum of 6 years in application development (excluding internship experience).
- At least 2 years working with big data technologies.
- Minimum 1 year of experience in cloud computing (AWS, Microsoft Azure, Google Cloud).
Preferred Qualifications: - Master's Degree.
- 9+ years of experience in application development, particularly with Python, SQL, Scala, or Java.
- 4+ years of experience with public cloud services (AWS, Microsoft Azure, Google Cloud).
- 5+ years of experience with distributed data/computing tools (e.g., MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, MySQL).
- 4+ years of working with real-time data and streaming applications.
- 4+ years of experience with NoSQL implementations (MongoDB, Cassandra).
- 4+ years of data warehousing experience (Redshift or Snowflake).
- 4+ years of UNIX/Linux experience, including basic commands and shell scripting.
- 2+ years of experience applying Agile engineering practices.
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:
- Chicago, IL: $204,900 - $233,800
- McLean, VA: $225,400 - $257,200
- Plano, TX: $204,900 - $233,800
- Richmond, VA: $204,900 - $233,800
Actual salary offered will depend on various factors and will be clearly stated in the candidate's offer letter. This role also qualifies for performance-based incentives, which may include bonuses and/or long-term incentives.
Capital One offers a competitive and comprehensive benefits package that supports your well-being. Eligibility may vary based on full-time or part-time status, and other factors.
We are an equal opportunity employer committed to diversity and inclusion. All qualified applicants will be considered without regard to any protected status. If you need an accommodation during the application process, please reach out to our recruiting team.
Capital One promotes a drug-free workplace and will consider qualified applicants with a criminal history in accordance with applicable laws.
Please apply soon, as applications will be accepted for a minimum of 5 business days. No agencies, please.