Data Engineer 4 - Nexus Products

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

Job summary

Capital One is seeking a Data Engineer 4 to lead cloud-first data solutions from McLean, VA, collaborating with product managers and engineers to deliver scalable pipelines and secure data platforms.

You will design, build, and optimize data workflows, mentor teammates, and ensure compliance with data security standards. Strong SQL, Python, Spark and cloud experience are essential.

Qualifications

• Bachelor's degree in CS or related field
• 4+ years of application development experience
• 2+ years of distributed data experience
• 2+ years of SQL experience
• 2+ years of Python, Java, or Scala
• 2+ years of data pipeline design and development

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement and support data solutions
• Influence a team of developers, data analysts, and data scientists
• Use Python, Spark and cloud data platforms to build scalable data pipelines
• Mentor team members and share best practices for data engineering
• Architect data platforms with emphasis on security, performance and maintainability

Skills

Python

SQL

Spark

Scala

Java

Data Modeling

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Snowflake

EMR

Airflow

Dagster

Job description

Data Engineer 4 - Nexus Products

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.

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., MonteCarlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
• 4+ years of experience working with unstructured or semistructured 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

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g., H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

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

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

Candidates hired to work in other locations will be subject to the pay range associated with