Jobs in the United States

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Added 2 mins ago
Palantir Data Engineer
Booz Allen Hamilton_United States
Atlanta, GA
Palantir Foundry Certifications such as Data Engineer Certification
Added 2 mins ago
Palantir Data Engineer
Booz Allen Hamilton_United States
Atlanta, GA
Experience with version control systems, including Git and Databricks
Added 2 mins ago
AWS & Databricks Cloud Platform Engineer, Senior
Booz Allen Hamilton_United States
Alexandria, VA · St. Louis, MO
AWS & Databricks Cloud Platform Engineer, SeniorThe Opportunity:
Added 22 mins ago
Senior Data Engineering Support Engineer
NTT DATA Americas, Inc.
Addison
We are seeking a Senior Data Engineering Support Engineer with expert-level proficiency in Databricks and PySpark. In this role, you will be the primary technical anchor for our enterprise…
Added 25 mins ago
TL
AI Infrastructure Engineer [Senior]
Tessera Labs
Remote, United States
- $200,000 to $290,000 USD / year
…across platforms like SAP, Salesforce, Workday, Snowflake, DataBricks, and…
Added 29 mins ago
TB
Senior AI Engineer
TriVista Business Group, Inc
Varies, CA
- $140,000 to $177,000 USD / year
The Senior AI Engineer will help clients identify where AI can create measurable value, shape pragmatic roadmaps, and lead the delivery of practical, scalable solutions. This position will…
Added 38 mins ago
AI Engineer
Fisher Investments
Camas, WA
The Software Engineer will architect, implement, and improve production-ready generative AI systems, working closely with AI leads, ML engineers, and platform teams. You will develop…
Added 38 mins ago
AI Engineer
Fisher Investments
Plano, TX
The Software Engineer will architect, implement, and improve production-ready generative AI systems, working closely with AI leads, ML engineers, and platform teams. You will develop…
Added 38 mins ago
Senior MLOps Engineer
Fisher Investments
Plano, TX
…our international growth. We are looking for a Senior MLOps Engineer to build the infrastructure, pipelines, and operational practices that bring machine learning and generative AI…
Added 38 mins ago
Senior MLOps Engineer
Fisher Investments
Camas, WA
…our international growth. We are looking for a Senior MLOps Engineer to build the infrastructure, pipelines, and operational practices that bring machine learning and generative AI…
Added 41 mins ago
S
Senior AI Security Automation Engineer
SSB&T
Quincy, MA · Princeton, NJ · Boston, MA · Clifton, NJ · Austin, TX
- $120,000 to $202,500 USD / year
State Street's Cyber Data & Analytics (CyberDNA) team is seeking a Senior AI Security Automation Engineer to help shape the next generation of cybersecurity data, analytics, and AI-powered…
Added 52 mins ago
AS
Lead Data/AI Engineering
AT&T Services, Inc.
Remote, United States
- $158,200 to $237,400 USD / year
Databricks Application Development: Design, build, deploy, and support production‑grade Databricks applications that connect enterprise data, AI capabilities, and business workflows, using…
Added 53 mins ago
Solutions Architect - Retail
Databricks
Remote, United States
Databricks certifications (Data Engineer, ML, Platform)
Added 1 hour ago
M
Senior AI Engineer
MassCareers
MA
- $89,993.11 USD / year
The Senior AI Engineer designs the architecture for, builds, and deploys AI-enabled applications in OSA's Microsoft GCC environment. Working with the Innovation Assistant Director and Cloud…
Added 1 hour ago
Data Engineer 5 (Senior Manager, IC)
Capital One
NY · McLean, VA · Cambridge, MA
…problems and meet real customer needs. We are seeking a Data Engineer 5 (Senior Manager, IC) who is passionate about marrying data with emerging technologies. In this role, you’ll be at the…
Added 1 hour ago
Data Engineer 5
Capital One
NY · McLean, VA · Cambridge, MA
…problems and meet real customer needs. We are seeking a Data Engineer 5 who is passionate about marrying data with emerging technologies. In this role, you’ll be at the forefront of driving…
Added 1 hour ago
Lead Software Engineer - SRE Cloud Engineer
JPMC page
Columbus, OH · Jersey City, NJ · OH
As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology Finance and Risk Warehouse SRE Team, you will solve complex and broad business problems with simple and…
Added 1 hour ago
TL
Solution Architect Product Engineer/AI
The LaunchCode Foundation
Remote, United States
- $195,000 to $210,000 USD / year
Hands-on experience with Azure AI, Azure OpenAI, Databricks, ML/data pipelines, event-driven architectures, and scalable data systems.
Added 1 hour ago
IS
AI / ML Engineer
INSPYR Solutions
Brentwood, TN
- $70 to $80 USD / hour
Python, SQL, Azure Foundry/Azure OpenAI and other LLM provider APIs, Azure AI Search, Databricks, Snowflake, AKS and Azure App Service. Supporting dependencies may include Redis, Couchbase,…
Added 1 hour ago
Senior Data Engineer (Azure)
Tiger Analytics Inc.
Diamond Bar, CA
Primary Skill- Azure, Databricks, SQL, Python
Added 1 hour ago
Data Engineer ADAS Fleet Analytics
Mercedes-Benz
San Jose, CA
Azure Data Engineer or Databricks certification.
Added 1 hour ago
Senior Data Engineer (Azure)
Tiger Analytics Inc.
Diamond Bar, CA
Primary Skill- Azure, Databricks, SQL, Python
Added 1 hour ago
IS
AI / ML Engineer
INSPYR Solutions
Brentwood, TN
- $70 to $80 USD / hour
Python, SQL, Azure Foundry/Azure OpenAI and other LLM provider APIs, Azure AI Search, Databricks, Snowflake, AKS and Azure App Service. Supporting dependencies may include Redis, Couchbase,…
Added 2 hours ago
A
Undergrad Intern – Machine Learning Engineer – Technology, AI & Data (Summer 2027)
Amgen
Washington D.C., DC
- $28.87 USD / hour
Awareness of tools like Databricks, Apache Spark, or Apache Airflow is a plus
Added 2 hours ago
A
Grad Intern – Machine Learning Engineer – Technology, AI & Data (Summer 2027)
Amgen
Washington D.C., DC
- $35.34 to $41.2 USD / hour
Awareness of tools like Databricks, Apache Spark, or Apache Airflow is a plus

Capital One

Data Engineer 5

NY, United States
McLean, VA, United States
Cambridge, MA, United States

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Job details

Posting language: English
Posted: Oct 29, 2026

Original job description

Data Engineer 5

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? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking a Data Engineer 5 who is passionate about marrying data with emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One.

Enterprise Data Tech (EDT) is responsible for managing data technology, platforms, and experiences across Capital One. Our core mission is to make data easy to find, use, understand, govern, and protect throughout the complex end to end data lifecycle. This foundation is built on key platforms that manage Capital One’s Data Pipeline, including data storage, and access. Looking ahead, our imperatives are centered on evolving our capabilities for the AI world and strategically expanding Capital One’s data platforms.

What You’ll Do:

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 your 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 to help millions of Americans achieve financial empowerment
Independently design, build and deliver world-class cloud data solutions and applications with little or no support from supervisors or managers
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 to drive alignment and shared understanding
Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business demands
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, such as Snowflake versus Databricks, based on technical and business requirements

Basic Qualifications:

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

Preferred Qualifications:

Master’s Degree in Computer Science or a related field
8+ years of experience in data engineering
5+ years of hands-on experience designing, deploying and operating data workloads in AWS
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
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)
4+ years of data modeling experience
3+ years of experience working in an Agile development environment
3+ years of experience developing user-centric reusable data products
3+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

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.

Cambridge, MA: $229,900 - $262,400 for Data Engineer 5

McLean, VA: $229,900 - $262,400 for Data Engineer 5

New York, NY: $250,800 - $286,200 for Data Engineer 5

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

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 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, 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).

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More about this job

Skills

Amazon Data Pipeline
Full-stack development
Machine learning
Microservices
Programming languages
Python
Apache Spark
NoSQL
Data warehousing
Databricks
Snowflake
Coaching
Data engineering
Computer science
Statistics
Research
SQL
Oracle Java
Scala
Data modelling
Database management systems
AWS
EMR
MongoDB
Apache Cassandra
Amazon DynamoDB
Amazon Redshift
Agile development
Splunk
Apache Airflow
Technical support
Recruitment

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