Jobs in the United States

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Added 7 mins ago
W
(USA) Staff, Software Engineer
Walmart
BENTONVILLE, AR
- $110,000 to $220,000 USD / year
Join Walmart as a Staff Software Engineer to lead the design, development, and deployment of scalable data platform capabilities and AI-driven applications. This role involves driving the…
Added 9 mins ago
Business Analyst Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 9 mins ago
Data Analyst Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 9 mins ago
Data Architect Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 9 mins ago
O
Data Architect (Data Modeling, AWS)
OpenDataJobs
Remote, United States
- $112,000 to $170,000 USD / year
Breadth across the data lifecycle: data engineering, data product, data science, or data management
Added 9 mins ago
QA and Test Engineer Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 9 mins ago
O
CI/CD and Platform Engineer
OpenDataJobs
Remote, United States
- $120,000 to $140,000 USD / year
A background in secrets management using tools such as AWS Secrets Manager, HashiCorp Vault, or a similar product
Added 9 mins ago
Data Product Owner Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 9 mins ago
Data Visualization Specialist Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 9 mins ago
Front-End Developer Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 9 mins ago
Full-Stack Developer Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 9 mins ago
Software Engineer (Back End and Cloud) Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 10 mins ago
AI Engineer
OPPO US Research Center
Palo Alto, CA
OPPO AI Center is seeking a passionate AI Engineer to help build next-generation AI products and intelligent agent systems. In this role, you will design, develop, and deploy advanced LLM…
Added 10 mins ago
Test Engineer-AI/LLM
OPPO US Research Center
Palo Alto, CA
OPPO US Research Center is seeking a full-time meticulous and innovative AI/LLM Test Engineer to join our cutting-edge AI team. In this critical role, you will evaluate the performance,…
Added 10 mins ago
Senior Software Engineer, Video Analytics
Zipdev
Remote, United States
Our client is looking for a hands-on Senior Backend Engineer with experience building and shipping machine learning or computer vision systems into real-world production environments. This…
Added 10 mins ago
Forward Deployed Engineering & Applied AI Professionals
TDS Global Solutions
Remote, United States
TDS Global Solutions partners with organizations seeking highly technical professionals who can bridge the gap between engineering, product, AI, and the customer.
Added 10 mins ago
Senior Full-Stack Product Engineer (Forward-Deployed)
Zipdev
Remote, United States
We are seeking a Senior Full-Stack Product Engineer to join a high-priority, newly funded product engineering team developing an agentic AI platform that processes large-scale datasets for…
Added 10 mins ago
Senior Full-Stack Product Engineer (Forward-Deployed)
Zipdev
Remote, United States
We are seeking a Senior Full-Stack Product Engineer to join a high-priority, newly funded product engineering team developing an agentic AI platform that processes large-scale datasets for…
Added 10 mins ago
Senior Full-Stack Product Engineer (Forward-Deployed)
Zipdev
Remote, United States
We are seeking a Senior Full-Stack Product Engineer to join a high-priority, newly funded product engineering team developing an agentic AI platform that processes large-scale datasets for…
Added 10 mins ago
Founding AI Platform Engineer
Zipdev
Remote, United States
…directly with the CEO, and take founding-level ownership of a product with significant growth…
Added 10 mins ago
Senior Talent Partner - US
Runware
Remote, United States
You don't need to be an engineer, but you should be genuinely comfortable in technical environments.
Added 10 mins ago
Functional Expert
Sidetrade
Remote, United States
…signature into renewal, alongside a Project Manager, a Data Engineer and a Customer Success Manager. The role is deliberately hybrid. Functional expertise is the core, and it is built as a…
Added 10 mins ago
S
Senior Technical Project Manager (Contract)
SmartLogic
Remote, United States
- $70 to $85 USD / hour
Our project teams are supported by a Project Manager, Staff Engineer, product designer, and one or more developers. Your responsibilities will include:
Added 10 mins ago
Contract Role - DevSecOps / AWS Platform Engineer
WorldVia
Remote, United States
We're looking for a highly experienced, hands-on DevSecOps / AWS Platform Engineer to help strengthen and modernize our cloud infrastructure, application security, and development…
Added 10 mins ago
Solutions Engineer (Senior)
Worth AI
Remote, United States
Worth AI is looking for a Senior Solutions Engineer to be a key technical partner throughout the pre-sales and post-sales lifecycle. In this role, you'll bridge the gap between complex…

Chubb Studio Inc

Senior FinOps Engineer, Global Data & Analytics

Philadelphia, PA, United States
Jersey City, NJ, United States
NY, United States

The pay range for the role is $134,200 to $195,800.

Apply on fa-ewgu-saasfaprod1.fa.ocs.oraclecloud.com About employer

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Job details

Pay: The pay range for the role is $134,200 to $195,800.
Posting language: English
Posted: Nov 2, 2026

Original job description

ABOUT THE ROLE

AI is generating cost at a scale and complexity that traditional FinOps tooling was not built for - and this role exists to solve that problem. As FinOps Engineer, you will design and maintain the data pipelines that move metered AI usage from our internal AI Studio platform into clean, trusted, reporting-ready datasets. You will build and automate the dashboards that surface weekly exceptions and drive monthly billing accuracy, ensuring that chargeback across business units, platforms, applications, models, and environments is always defensible and timely. This is a hands-on engineering role with direct visibility into how the organization understands and governs its AI investment.

WHAT YOU'LL DO

Pipeline Engineering & Data Architecture

Design, build, and maintain data pipelines that ingest metered usage data from AI Studio and API-sourced datasets, transforming raw consumption signals into normalized, reporting-ready structures
Ensure spend is accurately attributed at every relevant dimension - business unit, platform, application, model, and environment - with consistent lineage and auditable methodology
Integrate data from multiple sources (AI Studio, cloud billing APIs, Snowflake, Databricks) into a coherent, trusted cost dataset that Finance and Engineering teams can rely on for decisions
Implement data quality controls, reconciliation checks, and anomaly detection logic to catch attribution errors, missing data, and billing discrepancies before they reach downstream consumers
Maintain pipeline reliability and timeliness - cost data that arrives late or with gaps is not useful for governance; build with that constraint in mind
Evolve the data architecture as new AI platforms, models, and usage patterns come in scope, keeping the system extensible without accumulating technical debt

Reporting & Dashboard Automation

Build and automate Power BI dashboards that track weekly cost exceptions - surfacing anomalies, budget variances, and unallocated spend with enough context that owners can act without additional investigation
Develop monthly billing metrics dashboards that drive chargeback processing, giving Finance clear visibility into actuals by business unit and cost category
Automate recurring reporting workflows - month-end close support, variance summaries, trend analysis - reducing manual effort and eliminating recurring rebuild cycles
Design reports that serve multiple audiences: technical detail for engineering owners, financial summaries for Finance partners, and executive-ready rollups for leadership
Instrument unit economics views - cost per model, cost per application, cost per environment - that help teams understand the financial weight of their AI choices

Cost Attribution & Chargeback

Own the technical implementation of the chargeback model: ensuring spend is tagged, allocated, and attributed consistently across all dimensions required for accurate billing
Partner with the FinOps Team Lead and Finance to translate business rules for cost allocation into pipeline logic and reporting outputs
Identify and remediate attribution gaps - untagged resources, missing ownership metadata, inconsistent naming - through automation rather than manual correction
Build alerting and threshold logic that flags exceptions in near-real-time, enabling the operating team to investigate and resolve before monthly close
Track and report on chargeback accuracy over time, building confidence in the numbers with Finance stakeholders who rely on them for business unit P&L

Practice Development

Contribute to the evolution of the FinOps data model as AI consumption patterns grow in complexity - new models, new providers, new usage types require a pipeline that keeps pace
Evaluate and adopt relevant standards (e.g., FOCUS - FinOps Open Cost and Usage Specification) to ensure the organization's cost data aligns with emerging industry norms
Document pipeline design, data definitions, transformation logic, and dashboard specifications in a way that makes the system maintainable and understandable across the team
Identify opportunities to automate manual processes upstream and downstream of the pipeline - reducing toil and improving the timeliness and reliability of cost data
Solid data engineering background: experience building and maintaining production data pipelines that ingest, normalize, and transform data from multiple sources at scale
Proficiency in Python, including data manipulation libraries (pandas, and comparable tools for working with structured and semi-structured datasets)
Strong SQL skills - able to write, optimize, and maintain queries against large datasets in modern data platforms
Experience with Snowflake and/or Databricks for data storage, transformation, and pipeline execution
Demonstrated ability to build dashboards and reports in Power BI that are trusted, used, and maintained - not just created and forgotten
Comfort working with API-sourced datasets: designing ingestion patterns, handling schema changes, and ensuring data freshness and completeness
Understanding of cloud billing data structures - how usage is metered, rated, and reported - sufficient to work effectively with raw cost and usage data

Preferred

Familiarity with Azure cost management data structures; experience with Azure Data Explorer (ADX) and Kusto Query Language (KQL) is a meaningful advantage in this environment
FinOps Certified Practitioner or FinOps Certified Engineer; working knowledge of the FinOps Foundation framework and cost management lifecycle
Experience with AI or LLM cost data - token consumption, model-level attribution, inference vs. training cost structures, API-based usage metering
Exposure to FinOps platforms (Apptio Cloudability, FinOut, or cloud-native cost tools) and how their data can be integrated with internal pipelines
Experience implementing tagging standards, cost allocation automation, or data quality enforcement in a cloud billing context
Background working in a chargeback or showback environment where accuracy and auditability of cost data are non-negotiable

KEY COMPETENCIES

Engineering discipline: Builds pipelines that are reliable, documented, and maintainable - not just pipelines that work once.
Data curiosity: Asks why the numbers look the way they do; does not surface data without understanding it.
Precision under ambiguity: Produces accurate, auditable outputs even when upstream data is messy, incomplete, or inconsistently structured.
Automation mindset: Defaults to building systems that run without manual intervention; treats recurring manual effort as a problem to solve.
Cross-functional communication: Translates technical data concepts into language that Finance and business stakeholders can act on.
Ownership: Treats the pipeline and dashboards as products - with reliability standards, change management, and accountability for quality.

The pay range for the role is $134,200 to $195,800. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.

Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

Apply on fa-ewgu-saasfaprod1.fa.ocs.oraclecloud.com About employer

More about this job

Skills

Data analysis
Reporting
Snowflake
Databricks
Microsoft Power BI
Month-end close
Leadership
Data engineering
Python
pandas
SQL
Data storage
Microsoft Azure
Cost management
Communication skills
Change management
Underwriting

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Work requirements

Jobs in the United States