Jobs in the United States

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Added 6 mins ago
Senior AI Engineer (REMOTE)
EnableComp
Remote, United States
The Senior AI Engineer is a hands-on individual contributor who builds, trains, and evaluates machine learning models. The role combines knowledge engineering and data analysis with applied…
Added 6 mins ago
Software Engineer, Systems ML
Meta
Salem, OR
Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that powers Meta's products at massive…
Added 6 mins ago
Cybersecurity Engineer (Cloud)
Amentum
Salem, OR
Implement and operate security controls for approved AI and machine-learning services, enterprise copilots, generative AI applications, retrieval-augmented generation, agents, and tool…
Added 6 mins ago
Senior Cybersecurity Architect (Cloud)
Amentum
Salem, OR
Design and implement security architectures for generative AI, machine learning, enterprise copilot, and agentic systems, including secure access, data protection, identity, logging,…
Added 21 mins ago
AI/Machine Learning Engineer
Fordham University
Bronx, NY
Reporting to the Assistant Vice President of Enterprise AI, the AI/Machine Learning Engineer supports the advancement of the University’s enterprise AI strategy by designing, building, and…
Added 21 mins ago
Software AI Engineer / Robotics / Brooklyn
Kelly Services
Brooklyn, NY
A technology company is using artificial intelligence and machine learning to accelerate scientific research and development. Its platform combines software, data, and experimental…
Added 21 mins ago
Senior Cybersecurity Architect (Cloud)
Amentum
Albany, NY
Design and implement security architectures for generative AI, machine learning, enterprise copilot, and agentic systems, including secure access, data protection, identity, logging,…
Added 21 mins ago
Cybersecurity Engineer (Cloud)
Amentum
Albany, NY
Implement and operate security controls for approved AI and machine-learning services, enterprise copilots, generative AI applications, retrieval-augmented generation, agents, and tool…
Added 22 mins ago
Lead Solution Architect with AI Experience
Deloitte
New York, NY
AWS certification such as AWS Certified Solutions Architect, AWS Certified AI Practitioner, or AWS Certified Machine Learning Engineer
Added 22 mins ago
Full-stack Engineer 5 (Java, Spring, Kafka, CI/CD, AI tools, Glue, RDS, DynamoDB) (Enterprise Platforms Technology )
Capital One
New York, NY
We are seeking a highly skilled and visionary Full- Stack Engineer 5 who is passionate about Artificial Intelligence, Machine Learning, full-stack systems, and leveraging cutting-edge…
Added 22 mins ago
Software Dev Engineer - II , Live Events Advertising
Amazon
New York, NY
Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
Added 22 mins ago
Senior Software Engineer, Windows Desktop App, DeepMind
Google
New York, NY
At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As…
Added 22 mins ago
Product Content Engineer - Content Strategist
Meta
New York, NY
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy,…
Added 23 mins ago
A
AI/ML Engineer
Arup
New York, NY
- $115,000 to $125,000 USD / year
Artificial intelligence is opening up new ways to address these challenges. We are investing in our AI and machine learning capabilities to explore what is possible, develop innovative…
Added 23 mins ago
Sr Lead Software Engineer - Forward Deployed Engineer
JPMorgan Chase
New York, NY
As a Senior Lead Software Engineer at JPMorganChase within the Payments and Global Banking, Commercial & Industrial Lending division, you are an integral part of an agile team that works to…
Added 59 mins ago
ENGINEER QUALITY 3
Huntington Ingalls Industries
Goose Creek, SC
We build the world’s most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. HII’s diverse workforce includes skilled…
Added 1 hour ago
Senior ML Engineer - Ads ML Infrastructure
Apple
New York City, NY
The Machine Learning Platform team’s mission is to empower Ad Platforms teams to build and scale the innovative ML systems that deliver highly optimized advertising content to consumers.…
Added 1 hour ago
UG
Senior Data Engineer
UnitedHealth Group
Eden Prairie, MN
- $91,700 to $163,700 USD / year
The Enterprise Finance Data Engineering team is seeking a Senior Data Engineer to design, build, and manage the data foundations that power enterprise finance analytics, automation, and…
Added 1 hour ago
Senior Staff Tech Lead Manager, Ads Serving Infrastructure
Google
Mountain View, CA · New York, NY
Google Ads is at the forefront of AI innovation, applying machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Added 1 hour ago
Software Engineering, YouTube Ads Marketplace Optimization
YouTube
Mountain View, CA
2 years of experience designing, training, and launching machine learning or deep learning models in production.
Added 1 hour ago
UG
Senior AI/ML Engineer
UnitedHealth Group
Eden Prairie, MN
- $120,100 to $214,500 USD / year
…challenges at enterprise scale? We are seeking a Senior AI/ML Engineer to design, build, and operationalize AI capabilities that drive decision-making, productivity, and innovation across…
Added 1 hour ago
UG
Principal Data Engineer
UnitedHealth Group
Eden Prairie, MN
- $112,700 to $193,200 USD / year
The Enterprise Finance Data Engineering team is seeking a Lead Data Engineer (Principal Data Engineering) to design, build, and manage the foundational data architectures that power…
Added 1 hour ago
Dev Sec Engineering - Early Career
Lockheed Martin
Herndon, VA · Herndon
By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we keep people safe and solve the world's most complex challenges. Our people are some of…
Added 1 hour ago
Systems Engineer Sr - E3
Lockheed Martin
Orlando, FL · Orlando
This role will develop test‑automation architecture, pipelines and test strategies, while incorporating Artificial Intelligence (AI)/Machine Learning (ML) to support integration and testing…
Added 1 hour ago
Senior Mixed Signal Design Engineer
NVIDIA Corporation
ON, CA
…of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is…

Jobgether

Senior Data Engineer, Data Analytics

Remote, United States

$175,000 to $274,000 USD / year

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Job details

Pay: $175,000 to $274,000 USD / year
Experience: At least 5 years of professional experience as a Data Engineer or in a similar role building, deploying, and maintaining production data pipelines.
Posting language: English
Posted: Nov 3, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer, Data Analytics based in the United States.

We are seeking an experienced Senior Data Engineer to build and optimize the data infrastructure powering next-generation humanoid robotics and automation. In this role, you will transform large volumes of raw robot telemetry, logs, and operational data into reliable, high-quality datasets that support analytics, debugging, and fleet-wide insights. You will work at the intersection of robotics, hardware engineering, software development, and cloud-based data infrastructure. Partnering with multidisciplinary teams, you will design scalable ETL pipelines, develop data models, and establish robust data quality and governance practices. Your work will directly support hardware reliability, system performance, machine learning, and operational decision-making. This is an opportunity to join a small, high-impact team shaping the future of robotics through innovative, data-driven solutions. Accountabilities

Collaborate with robotics software and hardware engineering teams to define, collect, structure, and curate the data required for analytics, system monitoring, and debugging.
Design, develop, maintain, and optimize scalable ETL pipelines that transform raw robot logs and telemetry into structured, reliable datasets.
Leverage Apache Spark, Airflow or equivalent orchestration technologies, and AWS data services to build and manage production-grade data processing workflows.
Own and maintain gold-layer datasets supporting fleet dashboards, hardware reliability models, operational reporting, and business performance metrics.
Establish and maintain data freshness service-level agreements (SLAs), documentation standards, monitoring systems, and quality controls to ensure dependable data products.
Implement data validation checks, schema evolution strategies, and metadata management practices using internal data registries and cataloging systems.
Collaborate with analytics, reliability, and machine learning teams to design efficient data models that meet their analytical and operational requirements.
Optimize logical data models and physical data partitioning to improve query performance across analytical engines and playback or root-cause analysis tools.
Ensure efficient storage, processing, and accessibility of structured, numerical, and potentially multimodal robotics datasets.
Contribute to shared software libraries and APIs using Python, Java, or C++ to improve data capture, serialization, and consumption when needed.
Promote best practices in data architecture, pipeline reliability, dataset versioning, and data governance across the broader engineering organization.
Work closely with cross-functional stakeholders to translate technical and operational requirements into scalable data platform solutions.

Requirements

At least 5 years of professional experience as a Data Engineer or in a similar role building, deploying, and maintaining production data pipelines.
Strong proficiency in Apache Spark or an equivalent distributed data processing framework.
Programming experience in Python, Java, and/or Scala, with the ability to develop and maintain reliable data processing solutions.
Hands-on experience with data orchestration platforms such as Apache Airflow, Dagster, Prefect, or equivalent technologies.
Strong knowledge of data serialization and storage formats, including Avro, Parquet, and structured or numerical datasets.
Familiarity with modern data lake table formats and architectures, such as Apache Iceberg, Delta Lake, and medallion architecture.
Solid understanding of data modeling, schema evolution, data quality management, and metadata governance best practices.
Ability to design logical data models and physical data partitions that optimize performance for analytical queries, data playback, and root-cause investigations.
Understanding of how to structure and manage large-scale datasets generated by distributed systems and physical devices.
Experience collaborating with software engineering, hardware engineering, analytics, and data science teams in fast-paced technical environments.
Strong analytical and problem-solving skills, with the ability to investigate complex data challenges and develop practical solutions.
Excellent communication and collaboration skills, including the ability to explain technical concepts and align data architecture decisions with different stakeholders.
Nice to have: Experience with data versioning strategies and immutable dataset architectures, including Apache Iceberg or Delta Lake.
Experience working with computer vision and perception datasets, including RGB images, depth data, point clouds, and other multimodal outputs.
Familiarity with processing, storing, and querying large-scale multimodal datasets efficiently.
Knowledge of C++ and willingness to contribute to lightweight logging, data capture, or serialization libraries.
Experience with data cataloging platforms, metadata management, and internal data registries.
Work authorization: Applicants must be currently authorized to work in the United States, as all positions are US-based.

Benefits

Competitive salary: Annual base compensation ranging from $175,000 to $274,000 USD, depending on experience, skills, qualifications, and geographic market.
Retirement savings: 401(k) plan with a generous 6% company match.
Equity compensation: Eligibility for company stock options.
Comprehensive healthcare: 100% company-paid medical, dental, and vision insurance for employees.
Disability coverage: Company-paid short-term and long-term disability insurance.
Immediate benefits eligibility: Employees become eligible for benefits from their first day of employment.
Employee assistance: Access to an Employee Assistance Program (EAP) supporting personal and professional well-being.
Flexible paid time off: Exempt employees benefit from flexible, unlimited PTO, while non-exempt employees receive 10 vacation days and paid sick leave.
Paid holidays: 12 company holidays annually, including a winter shutdown.
Parental leave: Generous paid parental leave programs.
Professional development: Access to training, career development opportunities, and tuition reimbursement programs.
Flexible work arrangements: Fully remote working options, with hybrid arrangements available for employees within commuting distance of offices in Salem, Oregon; Pittsburgh, Pennsylvania; or Fremont, California.
On-site perks: Catered lunches four times per week, along with healthy snacks and refreshments at the Salem and Pittsburgh locations.
Additional compensation: Eligibility for annual discretionary bonuses for qualifying roles.
Relocation assistance: Available for eligible positions.
Meaningful technical impact: Opportunity to work with cutting-edge humanoid robotics technology and contribute to innovative data infrastructure at the intersection of physical systems and advanced analytics.
Collaborative environment: Work alongside talented robotics engineers, software developers, and data scientists in a small, high-impact team.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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More about this job

Skills

Data analysis
Debugging
Robotics
Software development
Data engineering
Data models
Decision making
Apache Spark
Apache Airflow
AWS
Control production
Process data
Reporting
Documentation
Cataloging
Root cause analysis
Software libraries
Python
Oracle Java
C++
Scala
Apache Avro
Data modelling
Quality assurance procedures
Problem solving
Communication skills
Collaboration

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