Senior Lead Data Engineer (AWS, Python, Snowflake, Databricks, AI-Assisted Coding Tools)

Capital One; McLean (VA); On-site; USD 229,900 - 262,400; Full time

Benefits offered by this job

Performance based incentive compensation

Comprehensive health and financial benefits

Job summary

Capital One National Association is seeking a Senior Lead Data Engineer in McLean, Virginia. This role involves pioneering data-driven tools, leading Agile teams, and leveraging technologies like AWS and AI for Risk management.

The ideal candidate will possess strong programming skills, extensive experience in application development, and a deep understanding of big data technologies. Competitive salary ranges from $229,900 to $262,400, along with comprehensive benefits and performance incentives.

Qualifications

• 6+ years of experience in application development.
• 2+ years of experience in big data technologies.
• 1+ year of experience with cloud computing.

Responsibilities

• Collaborate with Agile teams to develop technical solutions.
• Lead a team of developers in machine learning and full stack systems.
• Utilize programming languages and cloud-based services.

Skills

Python

AWS

Machine Learning

Java

Scala

SQL

Education

Bachelor’s Degree

Tools

Snowflake

Redshift

Hadoop

Spark

Kafka

Job description

Senior Lead Data Engineer (AWS, Python, Snowflake, Databricks, AI-Assisted Coding Tools)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks and automatically detect issues before they impact our customers, our business, or our communities.

In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value.

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
• Lead 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 data warehousing services such as Redshift and Snowflake
• Share your 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 make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications:

• Bachelor’s Degree
• At least 6 years of experience in application development (internship experience does not apply)
• At least 2 years of experience in big data technologies
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

• Master’s Degree
• 9+ years of experience in application development including Python, SQL, Scala, or Java
• 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• 5+ years experience with distributed data and 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 experience with NoSQL implementation (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
• Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Salary: McLean, VA: $229,900 - $262,400 for Sr. Lead Data Engineer. Richmond, VA: $209,000 - $238,500 for Sr. Lead Data Engineer. Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.

Capital One is an equal‑opportunity employer, including disability and veterans, committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.