Lead Data Engineer - Payment Networks

Capital One

McLean (VA)

On-site

USD 197,300 - 225,100

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Performance-based incentive compensation
Long-term incentives

Job summary

Capital One is looking for a Lead Data Engineer in McLean, Virginia to join their innovative team. The ideal candidate enjoys working with data, machine learning, and cloud-based technologies, and has extensive experience in full-stack development.

Your responsibilities will include collaborating with Agile teams, developing robust technical solutions, and leveraging complex cloud data environments. This role offers an annual salary range of $197,300 - $225,100, along with performance-based bonuses.

Qualifications

  • 4 years of experience in application development.
  • 2 years of experience in big data technologies.
  • 1 year of experience with cloud computing (AWS/Azure/GCP).
  • Experience with real-time data and streaming applications.

Responsibilities

  • Design, develop, test, and support full-stack technical solutions.
  • Collaborate with Agile teams and digital product managers.
  • Perform unit tests and code reviews for performance tuning.

Skills

Java
Scala
Python
SQL
Agile Engineering Practices
Big Data Technologies
Distributed Computing
NoSQL Databases
Cloud Computing (AWS/Azure/GCP)
UNIX/Linux

Education

Bachelor’s Degree

Tools

AWS
Redshift
Snowflake
Hadoop
Kafka
Spark

Job description

Lead Data Engineer - Payment Networks

At Capital One, you’ll be part of a team 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.

Responsibilities
  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full‑stack development tools and technologies.
  • Work with 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 & 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.
Qualifications
  • Bachelor’s Degree.
  • At least 4 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: 7+ 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).
  • 4+ years experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
  • 4+ years 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.
Compensation and Benefits
  • Annual salary range: $197,300 - $225,100 (McLean, VA).
  • Eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentives (LTI).
Equal Opportunity Employer Statement

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Lead Data Engineer, Marketing Technology (Enterprise Platforms Technology)
Lead Data Engineer, Marketing Technology (Enterprise Platforms Technology)

Capital One • McLean (VA)

On-site
USD 197,300 - 225,100
Lead Data Engineer, (Python, AWS)
Lead Data Engineer, (Python, AWS)

Capital One • Chicago (IL)

On-site
USD 179,000 - 205,000
Lead Data Engineer - Intelligent Foundations and Experiences (IFX)
Lead Data Engineer - Intelligent Foundations and Experiences (IFX)

Capital One • McLean (VA)

On-site
USD 197,300 - 225,100
Comprehensive health benefits
Performance-based incentives
Financial benefits support
Lead Data Engineer (Python, PySpark, AWS)
Lead Data Engineer (Python, PySpark, AWS)

Capital One • McLean (VA)

On-site
USD 197,000 - 226,000
Lead Data Engineer - Nexus Data Products
Lead Data Engineer - Nexus Data Products

Capital One • McLean (VA)

On-site
USD 120,000 - 150,000
Comprehensive health benefits
Financial well-being support
Inclusive environment
Lead Data Engineer
Lead Data Engineer

Capital One National Association • Richmond (VA)

On-site
USD 175,000 - 201,000
Health Insurance
Financial Benefits
Performance-Based Bonuses
+1
Lead Data Engineer - Data Publication and Transformation
Lead Data Engineer - Data Publication and Transformation

Capital One • Richmond (VA)

Hybrid
USD 179,000 - 205,000
Health benefits
Performance-based incentives
Inclusive workplace
Lead Data Engineer
Lead Data Engineer

Capital One • Wilmington (DE)

On-site
USD 179,400 - 204,700
Health benefits
Performance-based incentives
Inclusive workplace
Lead Data Engineer at Capital One Chicago, IL
Lead Data Engineer at Capital One Chicago, IL

kozmetickesluzby.vecnakraska.sk - Jobboard • Chicago (IL)

On-site
USD 175,000 - 201,000
Lead Data Engineer (Python, PySpark, DynamoDB) (Enterprise Platforms Technology)
Lead Data Engineer (Python, PySpark, DynamoDB) (Enterprise Platforms Technology)

Capital One National Association • Plano (TX)

On-site
USD 175,000 - 201,000
Health Benefits
Financial Benefits
Inclusive Work Environment
+1