> Markdown version of [/jobs/ext/2538356-distinguished-data-engineer](https://www.wearedevelopers.com/jobs/ext/2538356-distinguished-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Distinguished Data Engineer

- **Company:** Capital One Financial Corporation
- **Location:** McLean, VA, United States
- **Experience:** Experienced
- **Salary:** $269,100.0 - $307,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, C Sharp (Programming Language), C++ (Programming Language), Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Sharing, Fault Tolerance, Apache Hadoop, Python (Programming Language), Machine Learning, Performance Tuning, SQL Stored Procedures, SQL Databases, Private Cloud Environment, Google Cloud, Sql Optimization, Large Language Models, Snowflake, Apache Spark, Software Application Programming, Data Lakes, AWS Data Analytics, Machine Learning Operations, Databricks, Golang
- **Published:** August 14, 2026
- **Apply:** https://www.capitalonecareers.com/job/mclean/distinguished-data-engineer/1732/99185504064

## About the Role

* Bachelor's Degree
 * At least 7 years of experience in data engineering
 * At least 3 years of experience in data architecture
 * At least 2 years of experience building applications in AWS
 * At least 5 years of experience of Python, SQL or Scala
 * At least 3 years of experience developing AI and ML algorithms or technologies, * Masters' Degree
 * 5+ years of experience in data engineering (Hadoop,AWS,Snowflake,ETL etc.)
 * 5+ years of experience in Data Governance, Data Governance Platforms, Data Standardization, and Data Modeling
 * 5+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
 * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
 * Deep proficiency and strategic experience with Databricks (e.g., Delta Lake, Unity Catalog, MLflow, performance tuning Spark workloads).
 * Deep proficiency and strategic experience with Snowflake (e.g., Data Sharing, Snowpipe, external tables, security features, cost governance, advanced SQL, Stored Procedures).

## Description

* Lead the design and implementation of highly scalable, fault-tolerant, and cost-effective data architectures that seamlessly integrate Databricks (for complex processing,ML) and Snowflake (for warehousing,ETL).
 * Drive performance engineering and optimization for large-scale data ingestion and processing workloads across the Databricks,Snowflake,AWS data pipeline.
 * Provide technical leadership for the design, development, testing and deployment of agentic workflows across Capital One.This position requires a combination of strategic thinking, technical expertise in AI,ML and strong leadership to align the platform with business goals
 * Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices
 * Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities
 * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
 * Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team
 * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible
 * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner
 * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent


## Related Videos

- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [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)
- [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall)
- [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [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)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)