Data Engineer 4 (Python, AWS, Kafka, Spark, SQL, Snowflake, Databricks, GenAI)

Capital One; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One in McLean, VA seeks a Data Engineer 4 to design scalable cloud data solutions using Python, Spark, SQL, and Snowflake. You’ll collaborate with agile teams, build streaming and batch pipelines, and mentor others while advancing a major data transformation across the company.

You’ll work with Databricks, Kafka, and GenAI capabilities to deliver end-to-end data platforms with security and compliance in mind, enabling personalized experiences for customers.

Qualifications

• Bachelor's degree in CS or related quantitative field.
• 4+ years of experience in application development.
• 2+ years of experience in distributed data.
• 2+ years of experience with SQL.
• 2+ years of experience in one programming language (Python, Java, or Scala).
• 2+ years of experience in data pipeline design.
• 1+ year of experience in data modeling and designing end-to-end data solutions using relational and NoSQL databases.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Influence teams with ML, distributed microservices, lakehouse architecture, and full-stack systems.
• Utilize Python, Spark, and cloud data warehousing platforms like Databricks and Snowflake.
• Design, build, and deliver cloud data solutions with minimal supervision.
• Architect reusable data engineering patterns for scalable pipelines.
• Communicate data outcomes clearly to stakeholders.

Skills

Python

Spark

SQL

Data pipelines

Distributed data

Cloud platforms

Education

Bachelor's Degree in CS or related field

Tools

Databricks

Snowflake

EMR

Glue

Kafka

Redshift

Job description

Data Engineer 4 (Python, AWS, Kafka, Spark, SQL, Snowflake, Databricks, GenAI)

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. In this role, you’ll be at the forefront of driving a major transformation across Capital One. The Marketing and Messaging team delivers hyper-personalized messages and experiences that delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages across owned and paid Adtech channels.

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
• 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 your 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 to help millions of Americans achieve financial empowerment
• Independently design, build and deliver world-class cloud data solutions and applications with little or no support from supervisors or managers
• 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 to drive alignment and shared understanding
• Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business demands
• Implement data security standards, including encryption at rest/transit and fine-grained access control, ensuring compliance with data privacy regulations

Basic Qualifications:

• Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 4 years of experience in application development (Internship experience does not apply)
• At least 2 years of experience in distributed data
• At least 2 years of experience with SQL
• At least 2 years of experience with one programming language (Python, Java, or Scala)
• At least 2 years of experience in data pipeline design and development
• At least 1 year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems

Preferred Qualifications:

• 7+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java
• 4+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)
• 4+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
• 4+ years of experience designing, implementing, and operating real-time or streaming data pipelines
• 2+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
• 4+ years of experience working with unstructured or semi-structured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
• 4+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
• 2+ years of experience working in an Agile development environment
• 2+ years of experience developing user-centric reusable data products

Salary and Incentives:

McLean, VA: $197,300 - $225,100 for Data Engineer 4

New York, NY: $215,200 - $245,600 for Data Engineer 4

Richmond, VA: $179,400 - $204,700 for Data Engineer 4

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.

Benefits:

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website.

Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

No Agencies:

No agencies please.

Equal Opportunity Employer:

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, 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.

Company Culture:

At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit.