Capital One
Data Engineer 4
$197K–$246K
New York, NY +1 · Full-time · Posted Oct 4, 2026
- Location
- New York, NY
McLean, VA - Experience
- At least 4 years in application development; at least 2 years each in distributed data, SQL, one programming language, and data pipeline design and development; at least 1 year in data modeling and end-to-end data solutions. Preferred experience ranges from 2+ to 7+ years, as specified.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- Visa sponsorship
- Capital One will not sponsor a new applicant for employment authorization or offer immigration-related support for this position.
About the job
Build and operate scalable cloud data pipelines and platforms, including a cross-cloud migration that unifies travel data to support personalized customer experiences.
What you'll do
- Design, build, test, implement, and support cloud-first data solutions and pipelines.
- Architect data engineering patterns and ensure platforms are secure, scalable, resilient, and operationally efficient.
- Collaborate with product and engineering teams, communicate technical outcomes, and mentor data community members.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 4 years of application development experience; internship experience does not apply.
- At least 2 years of experience in distributed data, SQL, one programming language (Python, Java, or Scala), and data pipeline design and development.
- At least 1 year of experience in data modeling and designing end-to-end data solutions using relational and non-relational database systems.
Nice to have
- Experience with public cloud data workloads, distributed data tools such as Spark or Databricks, and real-time or streaming pipelines.
- Experience with data observability or orchestration, NoSQL databases, data warehousing, Agile, or reusable data products.
Pay
McLean, VA: $197,300 - $225,100 USD base salary; New York, NY: $215,200 - $245,600 USD base salary
Tools
Python, Spark, Databricks, Snowflake, SQL, Java, Scala, Airflow
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