Jobs in the United States

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Added 2 mins ago
Data Engineering/Analytics Support
CACI, INC.-FEDERAL
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We are seeking a flexible, proactive, and detail-oriented engineer with a passion for analytics and a commitment to delivering high-quality products under government direction.
Added 2 mins ago
Data Engineering/Analytics Support
CACI, INC.-FEDERAL
Norco, CA
We are seeking a flexible, proactive, and detail-oriented engineer with a passion for analytics and a commitment to delivering high-quality products under government direction.
Added 2 mins ago
Data Engineering/Analytics Support
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Added 10 mins ago
IAM Engineer
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Added 15 mins ago
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Senior Firmware Engineer, Embedded Platform
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Added 30 mins ago
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Added 31 mins ago
Senior Engineer, IAM Platform Engineering
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…technologies. 5. Experience developing solutions using PowerShell, Python, JavaScript, Terraform, REST APIs, or comparable automation technologies. 6. Strong understanding of identity…
Added 31 mins ago
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Added 31 mins ago
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- $25 to $28 USD / hour
Assist Sr. Test Engineer in evaluation, development and implementation of new test systems and protocols
Added 32 mins ago
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We are seeking a Junior Data Engineer who will work hands-on and collaboratively with our enterprise and line of business stakeholders to support the continued evolution of our enterprise…

TMNA Services LLC

Platform Engineering ll - Bala Cynwyd, PA

Bala Cynwyd, PA, United States

Salary range $90,000 to $125,000.

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Job details

Pay: Salary range $90,000 to $125,000.
Experience: 2–5 years of experience in platform engineering, DevOps, Data mesh engineering, or data engineering.
Posting language: English
Posted: Nov 5, 2026

Original job description

Marketing Statement:

Tokio Marine North America Services (TMNAS) provides professional support services to Tokio Marine Group companies in the United States, including Tokio Marine America, First Insurance Company of Hawaii, and Philadelphia Insurance Companies. Customer service is our focus and our passion! Tokio Marine North America Services adds value in all that we do, providing the best professional service to our business partners, allowing them to achieve their goals. Our talented team delivers actuarial, audit, corporate communications, financial and investment, human capital services, information technology, legal, and payroll expertise to our customers.

Job Summary:

The Platform Engineer II builds, extends, and maintains the shared data platform that enables engineering, analytics, and governance teams to deliver data products reliably and at scale. Operating at the Group Company level (e.g. PHLY, FICOH), this role is responsible for both the day-to-day operation and the build-out of new platform capabilities on the Databricks Lakehouse platform - managing Databricks Terraform configurations, deploying Unity Catalog structures (catalogs, schemas, RBAC) via Infrastructure as Code, maintaining Azure DevOps (ADO) pipelines, and participating in the full dev-to-prod data delivery lifecycle.

This is a data platform role that applies software engineering best practices - version control, automated testing, CI/CD, Infrastructure as Code - to the design and operation of a modern data platform. The Platform Engineer works closely with Data Engineers, Solution Architects, and Data Governance to ensure the platform supports the full data delivery lifecycle across each Group Company’s environments.

Essential Job Functions:

Platform Operations & Infrastructure:

Build and configure new Databricks workspaces, Unity Catalog structures (catalogs, schemas, volumes), and compute resources across development, test, and production environments for assigned Group Companies, as well as maintain existing configurations.
Design and develop new Databricks Terraform modules for repeatable, auditable provisioning of platform resources - including catalog deployment, schema creation, and RBAC/permissions via IaC - and maintain existing configurations.
Manage and optimize compute configurations (job clusters, SQL warehouses, serverless) balancing cost, performance, and isolation requirements.
Implement and maintain platform-level security controls: identity integration (Entra ID / service principals), ABAC policies, network security, and secrets management.

CI/CD & Deployment Automation for handoff to Production:

Build new and maintain existing Azure DevOps (ADO) pipelines for automated deployment of Declarative Automation Bundles (DABs), notebooks, libraries, and platform configuration.
Design and develop deployment patterns that support the dev → tst → prd promotion lifecycle with appropriate gating, validation, and rollback capabilities.
Create and maintain shared pipeline templates and reusable deployment components that engineering teams consume for their own data products.
Design and automate post-deployment tasks (DDL execution, configuration seeding, smoke testing).

Observability & Reliability on Databricks:

Build new business monitoring and alerting capabilities for platform health: compute utilization, job SLAs, pipeline failures, storage growth, and cost trends.
Design and build platform dashboards that give engineering and leadership visibility into operational metrics.
Investigate and resolve platform-level incidents; participate in root cause analysis and implement preventive measures.
Monitor and optimize platform costs; identify underutilized resources and recommend right-sizing.

•

Developer Experience & Self-Service:

Maintain platform documentation, onboarding guides, and runbooks.
Support engineering teams with platform-related issues: workspace access, compute configuration, deployment troubleshooting, Unity Catalog permissions.
Contribute to internal tooling and shared utilities that improve developer productivity.
Participate in platform design discussions and contribute to Architecture Decision Records (ADRs).

Qualifications:

Required:

2–5 years of experience in platform engineering, DevOps, Data mesh engineering, or data engineering.
Hands-on experience with Databricks Terraform provider (workspace provisioning, Unity Catalog configuration, compute management).
Hands-on experience with Declarative Automation Bundles (DABs) for deployment and lifecycle management of Databricks assets.
Experience with version control (Git) including branching strategies, pull requests, and code review.

Preferred:

Preferred candidates will have hands-on experience developing and maintaining Databricks Declarative Automation Bundles (DABs) to package and standardize data pipelines, workflows, and associated configurations for deployment by our infrastructure and production teams.
Familiarity with TMNAS engineering standards, CI/CD practices, security controls, and production deployment requirements is preferred to ensure seamless integration, operational readiness, and efficient handoff to production support teams.
Experience with Azure cloud services (Entra ID, Key Vault, Storage Accounts, Networking).
Experience with Azure DevOps (ADO) CI/CD pipelines or equivalent (GitHub Actions, Jenkins, GitLab CI).
Experience with Bicep / ARM templates for Azure infrastructure provisioning.
Experience in Python and/or Bash for scripting and automation.
Exposure to data platform concepts (Lakehouse architecture, Delta Lake, medallion pattern, data cataloging).
Familiarity with monitoring and observability tooling (Azure Monitor, Grafana, Datadog, or platform-native dashboards).
Experience supporting multi-tenant or multi-environment platform configurations.
P&C Insurance industry experience is valued but not required.

Salary range $90,000 to $125,000. Ultimate salary offered will be based on factors such as applicant experience and geographic location. Our company offers a competitive benefits package and bonus eligibility on top of base.

EEO Statement:

Tokio Marine Group of Companies (including, but not limited to the Philadelphia Insurance Companies, Tokio Marine America, Inc., TMNA Services, LLC, TM Claims Service, Inc. and First Insurance Company of Hawaii, Ltd.) is an Equal Opportunity Employer. In order to remain competitive we must attract, develop, motivate, and retain the most qualified employees regardless of age, color, race, religion, gender, disability, national or ethnic origin, family circumstances, life experiences, marital status, military status, sexual orientation and/or any other status protected by law.

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More about this job

Skills

Payroll
Databricks
IBM Terraform
Unity
Infrastructure as code
DevOps
SQL
CI/CD
DDL
Leadership
Root cause analysis
Documentation
Onboarding
Troubleshooting
Data engineering
Git
Microsoft Azure
GitHub
Jenkins
GitLab
Python
Bash
Cataloging
Grafana
Datadog

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