1,000+ matching jobs for “Data Engineer 4”

How results work

Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.

Capital One Financial

Data Engineer 5 (Senior Manager, IC)-Risk Tech

McLean, Virginia, United States +1 location

… 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 …

Added Oct 27, 2026

Save job

Capital One Financial

AI Engineer 4 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)

New York City, New York, United States +4 locations

… pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, …

Added Oct 27, 2026

Save job

Capital One Financial

Applied Researcher 4 (AI Safety & Multimodal)

New York City, New York, United States +3 locations

Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered …

Added Nov 5, 2026

Save job

Capital One Financial

Full-stack Engineer 4 (Manager IC - Vue JS, Java Script, AWS)

Richmond, Virginia, United States

… field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience in software engineering (Internship experience does not apply) At least 2 years of …

Added Oct 27, 2026

Save job

Jabil

Lead Electrical CAD Engineer - Data Center Infrastructure

Austin, Texas, United States +1 location

Pay posted by employer$105,100–$189,200

… fast paced change conditions Independent technical ownership without managerial responsibility About the Data Center Infrastructure (DCI) Team: The DCI team consists of technical subject matter experts who specialize …

Added Oct 28, 2026

Save job

Applied Materials

Principal Data Architect

Santa Clara, California, United States

Pay posted by employer$198,000–$272,500

… and care for you at work, at home, or wherever you may go. Learn more about our benefits . As a Software Engineer at Applied Materials, you’ll dive deep into ground-breaking technologies—like machine learning and AI—to …

Added Oct 27, 2026

Save job

State Street

Senior Middleware Platform Engineer - Data Transport - Manager

Bengaluru, India

Full time

Who we are looking for The State Street Middleware Data Transport Team supports multiple Managed File Transfer (MFT) products across the Bank. We are seeking a …

Added Oct 27, 2026

Save job

Senior Data Scientist

Sant Cugat del Vallès, Catalonia, Spain

Oversee work and mentor a team of 4 Junior Data Scientists to ensure we collectively learn and build high-quality Data Science solutions to …

Added Nov 7, 2026

Save job

Cisco Systems

Software Engineer (Embedded C, forwarding protocols | 4-10 years | Bangalore)

Bengaluru, Karnataka, India

… Mirroring, Slowpath, OAM, Layer 2 (EVPN, VPLS) and Layer 3 (SRv6, Segment Routing, MPLS) technologies. NPU Data Plane Programming: Implement data plane logic to optimize packet processing. Translate network protocol …

Added Oct 27, 2026

Save job

Capital One Financial

Data Analysis Manager

McLean, Virginia, United States +2 locations

… strategy by leveraging your analytical skills Assist with building and using models to test and validate data Work with vast amounts of data in new and evolving environments Be a part of growing and developing our …

Added Nov 4, 2026

Save job

Nvidia

Senior Cloud Software Engineer, DGXC Data Services

Santa Clara, California, United States +1 location

The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and …

Added Oct 27, 2026

Save job

Nvidia

Senior Storage Software Engineer, DGXC Data Services

Santa Clara, California, United States +5 locations

The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and …

Added Oct 27, 2026

Save job

Nvidia

Senior Data Engineer - EDA Datacenter Analytics and Observability

Santa Clara, California, United States +3 locations

NVIDIA’s Hardware Infrastructure organization is seeking a Senior Data Engineer to build and evolve analytics-ready data platforms that power observability, reliability analysis, …

Added Oct 27, 2026

Save job

Capital One Financial

Senior Manager, Data Science - Bureau Data Strategy

McLean, Virginia, United States +1 location

Senior Manager, Data Science - Bureau Data Strategy Data is at the center of everything we do. As a startup, we disrupted the …

Added Oct 27, 2026

Save job

Cisco Systems

Software Engineer - C/C++ Networking(Layer2/Layer 3) | 4-8 Years

Bengaluru, Karnataka, India

… · Bachelor's or Master's degree in Computer Science, EE/ECE, or a related field, with typically 4-8 years of relevant software/firmware development experience. · Strong hands-on proficiency in C/C++ …

Added Oct 27, 2026

Save job

Data Science Intern

Sant Cugat del Vallès, Catalonia, Spain

Data Science Intern Description - Before applying please note that, to be eligible for this position, you must …

Added Nov 3, 2026

Save job

Abbott Laboratories

Manager Data Analytics

Alameda, California, United States

Pay posted by employer$114,000–$228,000

… role in enabling innovation, supply continuity, and cost competitiveness across our portfolio. The Manager, Data Analytics leads a team of data professionals, including Data Analysts, Data Scientists, and Data Engineers, …

Added Oct 15, 2026

Save job

Amgen

Senior Data Scientist

India - Hyderabad

Full time
Regular

What you will do Let's do this. Let's change the world. We are seeking a Senior Data Scientist with strong expertise in machine learning and predictive modeling to join the AI & Data for …

Added Oct 15, 2026

Save job

Amgen

Senior Data Scientist

India - Hyderabad

Full time
Regular

What you will do Let's do this. Let's change the world. We are seeking a Senior Data Scientist to join the AI & Data for Engineered Biologics team within Amgen's Large Molecule Discovery (LMD) …

Added Oct 15, 2026

Save job

Capital One Financial

Director, Data Scientist

McLean, Virginia, United States +1 location

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the credit card industry by …

Added Oct 27, 2026

Save job

Capital One Financial

Data Engineer 5 (Senior Manager, IC)-Risk Tech

McLean, Virginia, United States +1 more

View job

Save job

Basic Qualifications · employer excerpt

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

2 more in the full description below.

About this opportunity

Original employer description

Data Engineer 5 (Senior Manager, IC)-Risk Tech

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.

In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities.

In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value.

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
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

Richmond, VA: $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 [email protected]. 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 [email protected]

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).

Why this result? · Employer labels

Keywords also found in description

Data-Engineering

Location reference: GeoNames (CC BY 4.0), normalized by Referizz.