Data Engineer 5, Tech

Capital One

. Collaborate with Agile teams to design, develop, test, implement, and support technical solutions .

Posted 10/7/2026full-timeRemote • Virginia • United StatesMid-LevelSenior💰 $209,000 - $238,500 per yearWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureCassandraCloudDynamoDBJavaMicroservicesMongoDBNoSQLPythonScalaSparkSplunkSQL

About the role

Key responsibilities & impact

Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
Influence developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Use Python and Spark, open-source relational and NoSQL databases, Databricks, and Snowflake
Stay current with data trends, experiment with new technologies, participate in technology communities, and mentor data professionals
Collaborate with product managers and software engineers to deliver cloud-first data solutions
Independently design, build, and deliver cloud data solutions and applications
Architect and enforce data engineering design patterns across platforms and pipelines
Communicate technical concepts and data outcomes to internal and external stakeholders
Design and build scalable, resilient, and operationally efficient data pipelines and platforms
Mentor peers and junior engineers while contributing hands-on technical expertise
Lead large-scale data initiatives end to end, making architectural decisions and evaluating platforms such as Snowflake versus Databricks

Requirements

What you’ll need

Bachelor's Degree or higher in Computer Science or a related quantitative field
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 programming experience 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 designing end-to-end data solutions using relational and non-relational database systems
Capital One will consider sponsoring a new qualified applicant for employment authorization
Preferred: Master's Degree in Computer Science or a related field
Preferred: 8+ years of experience in data engineering
Preferred: 4+ years of data modeling experience
Preferred: 9+ years of application development experience with Python, SQL, Scala, or Java
Preferred: 5+ years of experience with AWS, Microsoft Azure, or Google Cloud
Preferred: 5+ years of experience with EMR, Spark, Glue, or Databricks
Preferred: 5+ years of experience designing, implementing, and operating real-time or streaming data pipelines
Preferred: 3+ years of experience with data observability or orchestration tools such as Monte Carlo, Splunk, Airflow, or Dagster
Preferred: 5+ years of experience with unstructured or semistructured data using NoSQL databases such as MongoDB, Cassandra, or DynamoDB
Preferred: 5+ years of experience designing and supporting data warehousing solutions such as Snowflake or Redshift
Preferred: 3+ years of experience in an Agile development environment
Preferred: 3+ years of experience developing user-centric reusable data products

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive, competitive health, financial, and other benefits supporting total well-being
Reasonable accommodations for applicants who require them