Data Engineer
Data Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Position: Data Engineer
Location: Mclean VA
Duration: Long term contract
Note: Looking for Ex-Capital One Employee / Contractor
About the Role:
We are seeking an experienced Data Engineer to join our team supporting Capital One. The ideal candidate will have a strong background in building scalable data pipelines modern cloud data platforms and working with large-scale financial data. This role involves working closely with Capital Ones data analytics and technology teams to design implement and optimize data solutions that enable advanced analytics and business insights.
Key Responsibilities:
- Design develop and maintain robust scalable and secure data pipelines for Capital One applications.
- Work with structured and unstructured data across cloud and on-premises environments.
- Implement data ingestion transformation and integration processes using modern ETL/ELT frameworks.
- Collaborate with data scientists analysts and product teams to enable data-driven decision-making.
- Ensure data quality governance and compliance with Capital One and regulatory standards.
- Optimize performance of large-scale data pipelines and storage solutions.
- Work in Agile teams following CI/CD and DevOps best practices.
Required Skills & Experience:
- Strong experience in Data Engineering with hands-on development of ETL/ELT workflows.
- Expertise in Python SQL and Spark (PySpark/Scala).
- Proficiency in AWS Cloud Services (S3 Redshift EMR Glue Lambda etc.).
- Experience with Snowflake or other cloud-based data warehouses.
- Knowledge of data modeling data lakes and data warehouse design.
- Experience with Airflow DBT or similar orchestration tools.
- Strong understanding of CI/CD pipelines Git and DevOps practices.
- Prior exposure to financial services banking or credit domain is highly desirable.
Nice-to-Have Skills:
- Experience with Capital One-specific data platforms and tooling.
- Exposure to real-time streaming technologies (Kafka Kinesis).
- Familiarity with machine learning pipelines.
- Strong problem-solving and communication skills.
Education:
- Bachelors or Masters degree in Computer Science Information Systems Data Engineering or related field.
Employment Type
Full-time
