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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:** Richmond, VA, United States - **Salary:** $197,300.0 - $225,100.0 - **Contract:** Internship / Graduate position - **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Data Analysis, Unit Testing, Microsoft Azure, Software Quality, Information Systems, Information Engineering, Data Systems, Data Warehousing, Relational Databases, Distributed Data Store, Amazon DynamoDB, Apache Hadoop, MapReduce, Apache Hive, Python (Programming Language), MongoDB, NoSQL, Open Source Technology, Cloud Services, 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, Programming Languages - **Published:** September 27, 2026 - **Apply:** https://www.capitalonecareers.com/job/new-york/data-engineer-4-python-aws-spark-kafka-sql-snowflake-databricks-genai/1732/101180891936 ## 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). ## Description * Modern Tech Stack: Leverage programming languages like Python, SQL, Scala, Spark, along with NoSQL databases, open-source RDBMS, and cloud data platforms such as Databricks and Snowflake. * Governance & Security: Implement data security standards (encryption at rest/in transit, fine-grained access control) and uphold strict standards for data quality, governance, and permissible use. * Cross-Functional Collaboration: Partner with digital product managers and software engineers to deliver robust solutions that meet business demands and enhance customer experiences. * Ambassador & Innovator: Communicate technical concepts and data outcomes clearly to both technical and non-technical stakeholders. Stay on top of tech trends, participate in engineering communities, and leverage interactive AI tooling (e.g., Claude Code, GitHub Copilot) to accelerate delivery. * Code Quality & Reliability: Perform unit tests, conduct peer code reviews, and optimize systems for performance, observability, and downstream consumers. ## Related Videos - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [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) - [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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)