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About the Role
Capital One is seeking Data Engineers passionate about marrying data with emerging technologies to drive a major transformation. You will be part of a collaborative, inclusive, and iterative delivery environment, solving complex business problems.
Responsibilities
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
- Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems.
- Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake.
- Share passion for staying on top of trends in data, experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring other members of the data community.
- Collaborate with product managers and software engineers to deliver robust cloud-first data solutions that drive powerful experiences.
- Independently design, build and deliver world-class cloud data solutions and applications with little or no support.
- Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines.
- Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes clearly to both internal and external stakeholders.
- Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency.
- Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers.
- Lead and execute large-scale, transformative data initiatives from end to end, independently driving critical architectural decisions and evaluating platform choices.
Requirements
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
- At least 6 years of experience in application development (Internship experience does not apply).
- At least 4 years of experience in distributed data.
- At least 4 years of experience with SQL.
- At least 4 years of experience programming with at least one of the following languages: Python, Java, or Scala.
- At least 4 years of experience designing and developing data pipelines.
- At least 2 years 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 or a related field.
- 8+ years of experience in data engineering.
- 4+ years of data modeling experience.
- 9+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java.
- 5+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud).
- 5+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks.
- 5+ years of experience designing, implementing, and operating real-time or streaming data pipelines.
- 3+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster).
- 5+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
- 5+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift).
- 3+ years of experience working in an Agile development environment.
- 3+ years of experience developing user-centric reusable data products.
Skills
- Python
- Spark
- SQL
- NoSQL databases
- Databricks
- Snowflake
- Machine learning
- Distributed microservices
- Lakehouse architecture
- Full-stack systems
- AWS
- Microsoft Azure
- Google Cloud
- EMR
- Glue
- MongoDB
- Cassandra
- DynamoDB
- Redshift
- Monte Carlo
- Splunk
- Airflow
- Dagster
Location
- Chicago, IL
Work Type
- Full-time
Experience Level
- 6+ years of application development experience
- 4+ years of distributed data experience
- 4+ years of SQL experience
- 4+ years of programming experience (Python, Java, or Scala)
- 4+ years of data pipeline design and development experience
- 2+ years of data modeling experience
- 8+ years of data engineering experience
- 4+ years of data modeling experience
- 9+ years of application development experience
- 5+ years of public cloud experience (AWS, Azure, GCP)
- 5+ years of experience with distributed data/compute tools (EMR, Spark, Glue, Databricks)
- 5+ years of real-time/streaming data pipeline experience
- 3+ years of data observability or orchestration tool experience
- 5+ years of NoSQL database experience
- 5+ years of data warehousing solution experience
- 3+ years of Agile development experience
- 3+ years of reusable data product development experience
Education Level
- Bachelor's Degree in Computer Science or related quantitative field
- Master's Degree in Computer Science or related field
Salary/Compensations
- $209,000 - $238,500
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
- Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
About the Company
- Capital One Financial is made up of several different entities.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Equal Opportunity
- Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
- Capital One promotes a drug-free workplace.
- Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.
- If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
- For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
- Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.