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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer 4 (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI) - **Company:** Capital One Financial Corporation - **Location:** McLean, VA, United States - **Salary:** $197,300.0 - $225,100.0 - **Contract:** Internship / Graduate position - **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Information Systems, Information Engineering, Data Systems, Data Warehousing, Distributed Data Store, Amazon DynamoDB, Apache Hadoop, MapReduce, Apache Hive, Python (Programming Language), MongoDB, NoSQL, Standard Sql, DataOps, Scala (Programming Language), Scaled Agile Framework, Shell Script, Software Engineering, SQL Databases, Data Streaming, GitHub Copilot, Snowflake, Apache Spark, Electronic Medical Records, Semi-structured Data, Information Technology, Cassandra, AWS Glue, Apache Kafka, Non-relational Database, Splunk, Data Pipelines, Databricks - **Published:** September 28, 2026 - **Apply:** https://dejobs.org/x/x/313AEB121D304AB98F56C9128AB6280F/job/ ## About the Role Data Engineer 4 (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI) 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?, * Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) * At least 4 years of experience in application development (Internship experience does not apply) * At least 2 years of experience in distributed data * At least 2 years of experience with SQL * At least 2 years of experience with one programming language (Python, Java, or Scala) * At least 2 years of experience in data pipeline design and development * At least 1 year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems, * Master's Degree in Computer Science, Data Engineering, Information Systems, or a related technical field. * 7+ years of experience in application development using languages such as Python, SQL, Spark, Scala, or Java. * 4+ years of hands-on experience designing, deploying, and operating data workloads in a public cloud environment (AWS, Azure, or GCP). * 4+ years of experience building distributed data/computing workloads using tools like EMR, Spark, AWS Glue, Databricks, MapReduce, Hadoop, or Hive. * 4+ years of experience designing, implementing, and operating real-time and streaming data applications (e.g., Kafka). * 4+ years of experience designing and managing data warehousing platforms (Snowflake or Redshift) and data modeling for data warehousing. * 4+ years of experience with NoSQL implementations and semi-structured data (MongoDB, Cassandra, or DynamoDB). * 4+ years of experience with UNIX/Linux environments, basic commands, and shell scripting. * 2+ years of experience with data orchestration (e.g., Airflow, Dagster) or data observability tools (e.g., Monte Carlo, Splunk). * 2+ years of experience developing user-centric reusable data products. * 2+ years of experience in Agile engineering practices and delivery environments. * Hands-on experience leveraging interactive AI tooling (e.g., Claude Code, GitHub Copilot) to accelerate software delivery. At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). 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. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Best Paying Jobs in Technology](https://www.wearedevelopers.com/magazine/256-best-paying-jobs-in-technology)