Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Sr. Staff Data Engineer (Remote -Eligible) role.

Rezi rewrites your resume against Capital One's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Sr. Staff Data Engineer (Remote -Eligible) posting at Capital One — free, in seconds.

About the Role

As a Senior Staff Data Engineer at Capital One, you will be part of a community of technical experts working to define the future of data platforms and banking in the cloud. You will work alongside our talented team of data engineers, data scientists, machine learning experts, product managers and people leaders. Our Senior Staff Data Engineers are leading experts in their domains, helping devise practical, scalable and reusable data solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while delivering strong data and technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring engineers and actively recruiting to keep building our community. Senior Staff Data Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key data technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other materials to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.

Responsibilities

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
Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in a 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
Drive the strategic direction of the data engineering practice by continuously researching and assessing emerging trends in data, AI, and engineering, and developing a roadmap to integrate relevant innovations into the overall data platform
Lead strategic alignment and integration decisions across multiple data systems and business units, championing a unified data architecture that supports seamless, scalable, and governed data flow across the organization
Own the creation, management, and socialization of data strategy artifacts, ensuring comprehensive documentation is available to inform and guide enterprise-level decisions and initiatives (e.g., data governance policies, architecture blueprints, data product roadmaps)
Serve as a technical "force-multiplier," independently owning the end-to-end design and coding of critical data projects while influencing architectural standards and mentoring junior engineers to scale the team's capabilities and output

Requirements

Bachelor’s Degree in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
At least 9 years of experience in data engineering
At least 5 years of experience in data architecture
At least 3 years of experience building applications in AWS
At least 7 years of experience programming with at least one of the following languages: Python, Java, or Scala
At least 6 years of experience designing and developing data pipelines
At least 4 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
11+ years of experience in data engineering
8+ years of data modeling experience
3+ years of experience with ontology standards for defining a domain
2+ years of experience deploying machine learning models
12+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java
8+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)
8+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
8+ years of experience designing, implementing, and operating real-time or streaming data pipelines
6+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
8+ years of experience with unstructured/semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
8+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
6+ years of experience working in an Agile development environment
6+ years of experience developing user-centric reusable data products

Skills

AWS infrastructure
Lakehouse architecture
Kafka
Flink
Spark
Snowflake
Databricks
Python
SQL
Java
Scala

Location

Remote
McLean, VA
New York, NY
Richmond, VA

Work Type

Remote
Full-time

Experience Level

Senior Staff
9+ years of experience in data engineering
5+ years of experience in data architecture
3+ years of experience building applications in AWS
7+ years of experience programming with Python, Java, or Scala
6+ years of experience designing and developing data pipelines
4+ years of experience in data modeling
11+ years of experience in data engineering
8+ years of data modeling experience
3+ years of experience with ontology standards
2+ years of experience deploying machine learning models
12+ years of experience in application development
8+ years of hands-on experience designing, deploying and operating data workloads in a public cloud environment
8+ years of experience building or supporting distributed data or compute workloads
8+ years of experience designing, implementing, and operating real-time or streaming data pipelines
6+ years of experience working on data observability or data orchestration tools
8+ years of experience with unstructured/semistructured data using NoSQL databases
8+ years of experience designing and supporting data warehousing solutions
6+ years of experience working in an Agile development environment
6+ years of experience developing user-centric reusable data products

Education Level

Bachelor’s Degree in Computer Science or a related quantitative field
Master’s Degree in Computer Science or a related field

Salary/Compensations

Remote (Regardless of Location): $286,200 - $326,700
McLean, VA: $314,800 - $359,300
New York, NY: $343,400 - $392,000
Richmond, VA: $286,200 - $326,700

Benefits

Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

About the Company

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website.
Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please.
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, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations 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.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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.