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About the Role

Join Capital One as a Data Engineer, where you will be at the forefront of driving a major transformation by solving complex business problems with data and emerging technologies in a fast-paced, collaborative environment.

Responsibilities

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions.
Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems.
Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake.
Share passion for staying on top of trends in data, experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring other members of the data community.
Collaborate with product managers and software engineers to deliver robust cloud-first data solutions that drive powerful experiences.
Independently design, build and deliver world-class cloud data solutions and applications with little or no support.
Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines.
Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes clearly to both internal and external stakeholders.
Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency.
Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers.
Lead and execute large-scale, transformative data initiatives from end to end, independently driving critical architectural decisions and evaluating platform choices.

Requirements

Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
At least 6 years of experience in application development (Internship experience does not apply).
At least 4 years of experience in distributed data.
At least 4 years of experience with SQL.
At least 4 years of experience programming with at least one of the following languages: Python, Java, or Scala.
At least 4 years of experience designing and developing data pipelines.
At least 2 years of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems.
Master’s Degree in Computer Science or a related field.
8+ years of experience in data engineering.
4+ years of data modeling experience.
9+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java.
5+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud).
5+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks.
5+ years of experience designing, implementing, and operating real-time or streaming data pipelines.
3+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster).
5+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
5+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift).
3+ years of experience working in an Agile development environment.
3+ years of experience developing user-centric reusable data products.

Skills

Python
Spark
SQL
Databricks
Snowflake
Machine Learning
Distributed Microservices
Lakehouse Architecture
Full-Stack Systems
Relational Databases
NoSQL Databases
Cloud-based Data Warehousing
AWS
Microsoft Azure
Google Cloud
EMR
Glue
Monte Carlo
Splunk
Airflow
Dagster
MongoDB
Cassandra
DynamoDB
Redshift
Agile Development

Location

McLean, VA
New York, NY
Richmond, VA
San Francisco, CA

Work Type

Full-time

Experience Level

6+ years of application development experience
4+ years of distributed data experience
4+ years of SQL experience
4+ years of programming experience (Python, Java, or Scala)
4+ years of data pipeline design and development experience
2+ years of data modeling experience
8+ years of data engineering experience
4+ years of data modeling experience
9+ years of application development experience
5+ years of public cloud experience (AWS, Azure, or GCP)
5+ years of experience with EMR, Spark, Glue, or Databricks
5+ years of real-time or streaming data pipeline experience
3+ years of experience with data observability or orchestration tools
5+ years of NoSQL database experience
5+ years of data warehousing solutions experience
3+ years of Agile development experience
3+ years of reusable data product development experience

Education Level

Bachelor's Degree in Computer Science or related quantitative field
Master's Degree in Computer Science or related field

Salary/Compensations

McLean, VA: $229,900 - $262,400
New York, NY: $250,800 - $286,200
Richmond, VA: $209,000 - $238,500
San Francisco, CA: $250,800 - $286,200

Benefits

Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

About the Company

Capital One is a group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Capital One is an equal opportunity employer (EOE, including disability/vet) 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.
Capital One Financial is made up of several different entities.

Equal Opportunity

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
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, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.