Data Engineer 5 (Enterprise Platforms Technology)

Capital One National Association; New York (NY); On-site; USD 251,000 - 286,000; Full time

Benefits offered by this job

Sponsorship for employment

Job summary

Capital One is seeking a Data Engineer 5 to join Enterprise Platforms Technology. The role focuses on building cloud-first data solutions, leading data pipelines, and guiding cross-functional teams across ML and distributed systems.

You will work with Python, Spark, Databricks, and Snowflake to transform data into impactful insights. The position requires strong SQL, coding in Python/Java/Scala, and experience designing end-to-end data solutions.

Qualifications

• 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
• 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 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 end-to-end data solutions using relational and non-relational databases
• Preferred: Master’s degree; 8+ years of data engineering; 4+ years data modeling; 9+ years in application development; 5+ years cloud data workloads; 5+ years data workloads with Spark/Databricks; 5+ years real-time/streaming data; 3+ years data observability or orchestration tools; 5+ years NoSQL data; 5+ years data warehousing; 3+ years Agile; 3+ years data products

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
• Influence a team of developers, data analysts and data scientists with experience in machine learning and distributed systems
• Use Python and Spark with cloud-based data warehousing platforms like Databricks and Snowflake
• Mentor other data community members and stay current with data trends
• Collaborate with product managers and software engineers to deliver cloud-first data solutions for millions of Americans
• Design, build, and deliver cloud data solutions with minimal supervision
• Architect and enforce common data engineering patterns for quality and reusability
• Communicate technical concepts and data outcomes to stakeholders
• Design and build scalable, resilient data pipelines and platforms
• Balance hands-on contribution with mentoring to elevate peers
• Lead large-scale data initiatives end-to-end and evaluate platform choices like Snowflake vs Databricks

Skills

Python

SQL

Java

Scala

Machine learning

Education

Bachelor's degree in Computer Science or related quantitative field

Master’s degree in Computer Science or related field (preferred)

Tools

Databricks

Snowflake

Spark

Job description

Data Engineer 5 (Enterprise Platforms Technology)

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
• 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, such as Snowflake versus Databricks, based on technical and business requirements

Basic Qualifications:

• 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

Preferred Qualifications:

• 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

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

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.

McLean, VA: $229,900 - $262,400 for Data Engineer 5

New York, NY: $250,800 - $286,200 for Data Engineer 5

Richmond, VA: $209,000 - $238,500 for Data Engineer 5

San Francisco, CA: $250,800 - $286,200 for Data Engineer 5

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. 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.

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.

This role is expected to accept applications for a minimum of 5 business days.