Jobs in the United States

25+ jobs

Save this search

Added just now
BV
AWS Data Engineer
Bright Vision Technologies
Frisco / North Dallas, TX
- $115,000 to $165,000 USD / year
…expertise in AWS S3, Glue, Redshift, Athena, EMR, Lake Formation, Python, SQL, and data pipeline orchestration, work with cross-functional teams, and contribute to reliable, maintainable…
Added just now
BV
Azure Data Engineer
Bright Vision Technologies
Sunnyvale / South Bay, CA
- $115,000 to $165,000 USD / year
…in Azure Data Factory, ADLS, Synapse, Azure Databricks, SQL, Python, and cloud data governance, work with cross-functional teams, and contribute to reliable, maintainable solutions through…
Added 1 min ago
Lead Software Engineer - Python
Wells Fargo Bank, N. A.
IRVING, TX · CHARLOTTE, NC
Wells Fargo is seeking a Lead Software Engineer (Python) within the Secured Network Services organization. This role will focus on designing and delivering automation solutions that enable…
Added 1 min ago
Lead Business Execution Consultant-AI Telephony Testing Lead
Wells Fargo Bank, N. A.
CHANDLER, AZ
Strong development and test automation skills using AI-agent tools, Python, Playwright, Hammer, Cyara, APIs, GitHub Copilot, and CI/CD practices.
Added 2 mins ago
Software Product Lead
Visionist, Inc.
Fort Meade, MD
- Work directly with stakeholders, engineers, and cyber analysts to understand operational workflows and identify high-impact automation opportunities
Added 3 mins ago
Senior Platform Architect
Expression
Remote, United States
The FSDS program supports the modernization of federal spectrum management systems through improved technology, automation, data integration, and interoperability. These systems help NTIA…
Added 3 mins ago
Senior DevOps Engineer
Expression
Remote, United States
The FSDS program supports the modernization of federal spectrum management systems through improved technology, automation, data integration, and interoperability. These systems help NTIA…
Added 3 mins ago
DevOps Engineer
Expression
Remote, United States
Ability to write and troubleshoot automation scripts using Python, PowerShell, Bash, or similar languages.
Added 4 mins ago
JA
Analyst Data Commercial & CM Technology
JetBlue Airways Corporation
Washington, DC · Orlando, FL · Salt Lake City, UT · Long Island City, NY
- $68,000 to $112,000 USD / year
Experience using Python for data analysis or automation.
Added 4 mins ago
Software and AI Engineer
CoreWeave
CA / Bellevue, WA · Livingston, NJ · Manhattan, NY · San Francisco, CA · Sunnyvale, CA
You have 3+ years of scripting experience in Python or Bash for automation and tooling.
Added 5 mins ago
R
Part Time Systems Engineer Co-Op (Remote)
RTX
United States
- Part-time
Experience with tools, such as Ansys HFSS or Python for data analysis and automation
Added 5 mins ago
Systems Security Engineering Intern (Summer 2027)
RTX
United States
Experience with tools, such as MATLAB or Python, for data analysis and automation
Added 5 mins ago
Senior Principal Software Engineer
RTX
United States
Added 5 mins ago
Internship – Raytheon Systems Security Engineer (Onsite)
RTX
United States
Experience with tools, such as MATLAB or Python, for data analysis and automation
Added 5 mins ago
Internship – Raytheon Systems Security Engineer- Onsite
RTX
United States
Experience with tools, such as MATLAB or Python, for data analysis and automation
Added 5 mins ago
Principal Platform Software Engineer (Onsite)
RTX
United States
…resources and emerging modern Infrastructure as Code (IaC) automation…
Added 8 mins ago
Solutions Architect
Guru
Remote, United States
…technical specialty in integrations, scripting, AI features, and automation, with a clear path to the Senior Solutions Architect…
Added 8 mins ago
Sr Software Engineer
Cengage Group
Newark, NJ
Develop, update and optimize data transformation and delivery scripts, using Python and AI tools (such as Codex)
Added 8 mins ago
Electrical Sustainment Engineer
Anduril Industries
Broomfield, CO · Fort Collins, CO
Competence with test equipment such as multi-meters, oscilloscopes, logic analyzers, signal generators, spectrum analyzers, VNAs, and automation of tests
Added 9 mins ago
Senior DevOps and Application Engineer
Sunrise Senior Living Mgmt Inc
McLean, VA
Sunrise Senior Living seeks a hands-on engineer to build applications, APIs, automation, and scalable AWS cloud infrastructure. Combine software development and DevOps to deliver reliable,…
Added 9 mins ago
Propulsion Strength Lead 5 - Vulcan Development
United Launch Alliance
Centennial, CO
Candidate will assist the team in creating analysis automation tools
Added 9 mins ago
Senior PLM Systems Architect
True Anomaly
Denver, CO · Long Beach, CA
…manufacturing operations, AI-assisted engineering tools, and developer platforms as part of the Digital…
Added 11 mins ago
BV
Databricks Engineer
Bright Vision Technologies
Irving / Las Colinas, TX
- $115,000 to $165,000 USD / year
…practical expertise in Databricks, Apache Spark, Delta Lake, Python/Scala, SQL, lakehouse design, and pipeline orchestration, work with cross-functional teams, and contribute to reliable,…
Added 11 mins ago
BV
Site Reliability Engineer
Bright Vision Technologies
Remote, United States
- $115,000 to $165,000 USD / year
…focuses on availability, scalability, security, observability, automation, and dependable service operations. The successful candidate will apply practical expertise in Linux, Python/Bash,…
Added 12 mins ago
Information Systems Security Engineer
Booz Allen Hamilton_United States
Fort Meade, MD
Experience with cybersecurity automation scripting such as Python, PowerShell, or Ansible to support STIG automation, scanning pipelines, or IaC security controls

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 About employer

Applications open in a new tab.

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 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

Report this job