Data engineer (Ex capital one required)

Overview

On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Agile
Amazon Redshift
Amazon Web Services
Amazon S3
Analytics
Big Data
Computer Science
Business Intelligence

Job Details

Hi all,

Hope you all are doing great,

Job Title: Data Engineer (Ex-Capital One Required)
Location: Richmond, VA
Job Type: W2

Candidates who work on W2 can only apply

Job Summary:

We are seeking a highly skilled Data Engineer with prior experience at Capital One or a similar financial services enterprise. The ideal candidate will have a strong background in cloud-based data engineering (AWS preferred), data pipelines, and modern data stack tools. You ll be responsible for designing, building, and maintaining scalable data solutions that drive analytics, reporting, and machine learning initiatives.

Key Responsibilities:

  • Design, build, and optimize data pipelines and ETL workflows using Python, Spark, or Alteryx.

  • Develop and manage data ingestion from multiple sources (internal and external APIs, databases, streaming platforms).

  • Work with large-scale data lake and data warehouse solutions such as AWS Redshift, Snowflake, or Databricks.

  • Collaborate with data scientists, analysts, and business teams to provide clean, reliable, and structured datasets.

  • Implement data governance, lineage, and quality frameworks aligned with enterprise standards.

  • Develop and automate data validation and monitoring systems.

  • Optimize data models for analytics and BI tools like Power BI, Tableau, or QuickSight.

  • Leverage CI/CD pipelines and infrastructure-as-code tools (Terraform, CloudFormation, Jenkins) for deployment.

  • Ensure security and compliance in line with financial industry standards.

Required Skills & Qualifications:

  • Bachelor s or Master s Degree in Computer Science, Information Systems, Engineering, or related field.

  • 5 8 years of experience in data engineering roles (preferably at financial institutions).

  • Capital One experience or experience in a similar regulated, cloud-native data environment.

  • Strong hands-on experience with:

    • AWS (S3, Glue, EMR, Lambda, Step Functions, Redshift)

    • Python or Scala

    • Spark / PySpark

    • SQL (advanced level)

    • Airflow or AWS Step Functions

  • Experience with data modeling (Kimball/Inmon) and data warehouse design.

  • Familiarity with Git, Docker, Kubernetes, and CI/CD workflows.

  • Excellent problem-solving, debugging, and collaboration skills.

Preferred Qualifications:

  • Exposure to Capital One s data architecture or agile data delivery model.

  • Experience with machine learning pipelines and feature engineering.

  • Knowledge of data privacy regulations (GDPR, CCPA, HIPAA).

  • AWS Certification (Data Analytics, Solutions Architect, or Big Data Specialty).

Interested candidates can reach out to the mail

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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