Jobs in the United States

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Added 3 mins ago
T
Senior AI/ML Engineer
TEKsystems
New York, NY
- $119,800 to $179,800 USD / year
…We are seeking a highly skilled and motivated Senior AI/ML Engineer with 57 years of experience in data engineering and at least 3 years in AI/ML engineering. The ideal candidate will have…
Added 6 mins ago
Senior Machine Learning Engineer, AI Safety Evaluations
NVIDIA USA
CA
We are looking for a Machine Learning Engineer / AI Researcher / Data Scientist to join our AI Safety and Responsibility efforts within Enterprise Risk Management. Engaging directly in…
Added 14 mins ago
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Software Engineer II - Engineer
Uber
San Francisco, CA · Sunnyvale, CA
- $171,000 to $190,000 USD / year
…drivers of order growth across the Delivery organization. As a Machine Learning Engineer (MLE) on the Feed Ranking team, you will own and develop models across our entire ranking stack…
Added 16 mins ago
Knowledge Engineer / Semantic Expert for AI
Accenture LLP Company
NY
Minimum of 2 years of experience in designing and developing knowledge graph solutions and graph-based machine learning models, functional and technical experience required.
Added 29 mins ago
System Engineer IV
Arcfield
McLean, VA
Machine learning frameworks such as TensorFlow or PyTorch.
Added 29 mins ago
Systems Engineer Technical Specialist
Arcfield
McLean, VA
Machine learning frameworks such as TensorFlow or PyTorch.
Added 33 mins ago
Data Engineer 5
Capital One
McLean, VA · Richmond, VA · NY · Wilmington, DE
Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Added 33 mins ago
AI Engineer 4 (AI Safety and Multimodal)
Capital One
San Jose, CA · McLean, VA · Cambridge, MA · NY
…For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and…
Added 33 mins ago
Senior Director, AI Engineering -Agentic AI Platform(Remote Eligible)
Capital One
San Jose, CA · San Francisco, CA · McLean, VA · Cambridge, MA · NY
…For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and…
Added 38 mins ago
Principal Supply Chain Data Engineer & Analytics Lead
Bausch + Lomb
Jefferson City, MO
…established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in…
Added 43 mins ago
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Software Engineer Intern, Autonomy Software [Summer 2027]
Zoox
Foster City, CA
- $6,500 to $10,500 USD / month
Design, build and evaluate state-of-the-art algorithms or machine learning models for a real autonomous driving system.
Added 44 mins ago
IC
Ocotillo Technology Fabrication Yield Device Engineer
Intel Corporation
AZ
- $89,010 to $146,440 USD / year
Familiarity with latest machine learning tools applied to process and device analysis to accelerate root cause determination
Added 51 mins ago
Software Engineer | Aerospace & Defense
Texas Instruments
Dallas, TX
Developing and applying machine learning algorithms to edge applications, which may include using AI coding assistant to develop embedded software
Added 52 mins ago
Applications Software Engineer - Industrial Automation
Eurofins US Network
Houston, TX
This position is ideal for a talented software engineer who enjoys solving complex technical problems and building scalable software systems. The role will focus on developing modern…
Added 52 mins ago
Distinguished Engineer, AI Security Systems (Remote)
CrowdStrike
Austin, TX
The Lab is CrowdStrike’s frontier AI research organization for cyber defense. Its work spans frontier and open-weight models, CrowdStrike-trained models, specialized agents, reinforcement…
Added 54 mins ago
Network Engineer, Deployment & Support
Meta
Jefferson City, MO
…Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for…
Added 56 mins ago
Rotating Equipment Engineer
CF Industries
Donaldsonville, LA
The role of the rotating equipment engineer encompasses all rotating equipment at the Donaldsonville facility (6 Ammonia Plants, 5 Urea plants, and 4 Nitric Acid plants).
Added 1 hour ago
Staff Machine Learning Engineer
Qualtrics
Seattle, WA
Staff Machine Learning Engineer, Foundation - Seattle
Added 1 hour ago
Research and Development Engineer - Mechanical - 1710
SARA Inc
Cypress, CA
The Artificial Perception and Threat Awareness (APTA) division at Scientific Applications & Research Associates, Inc. (SARA) is making the future of Aerospace and Autonomy happen now, with…
Added 1 hour ago
B&
Software Design Engineer 4
Bucher & Christian Consulting, Inc. dba BCforward (BCF)
Redmond, WA
- $80 to $90 USD / hour
Experience integrating AI, machine learning, or LLMs into engineering workflows.
Added 1 hour ago
Staff Full-stack Engineer - - B2B Platforms & Payment Systems (Remote-Eligible)
Capital One
Jefferson City, MO
As a Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of…
Added 1 hour ago
AS
Software Engineering - Software Engineer II - 3054592
Apex Systems, Inc.
Redmond, WA
- $58 to $68 USD / hour
This position is for a Machine Learning Engineer focused on Perceptual Audio Evaluation. The role involves owning and sustaining a family of production machine learning models. Daily…
Added 1 hour ago
Senior Facilities Engineer
Providence St. Joseph Health
Seattle, WA
…Puget Sound. Whether through physician clinics, education, research and innovation or other outreach, we're dedicated to…
Added 1 hour ago
Staff Software Engineer, AI/ML, Google Cloud
Google
Sunnyvale, CA
5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Added 2 hours ago
Hardware / Software CoDesign Engineer - 3P
OpenAI Inc.
Seattle, WA
As an Engineer on our hardware optimization and co-design team, you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel,…

Capital One

Data Engineer 5

McLean, VA, United States
Richmond, VA, United States
NY, United States
Wilmington, DE, United States

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Job details

Posting language: English
Posted: Nov 5, 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 Data Engineers who are passionate about marrying data with emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One.

We're not just supporting a bank; we're redefining the tech foundation for a financial giant. As Bank Tech, we are leading the charge to become the first bank to build an internal, integrated, and fully modernized core banking platform. If you're passionate about modular, resilient, cloud-native, and secure engineering, you'll find your challenge here. We're building common capabilities and cutting-edge, real-time technology solutions that power critical lines of business including our Retail Bank, Small Business Bank, Commercial Bank, and Capital One Shopping.

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

This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location.

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
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

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.

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

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

Richmond, VA: $209,000 - $238,500 for Data Engineer 5

Wilmington, DE: $209,000 - $238,500 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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