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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & AI Platform Engineer - **Company:** Armanino LLP - **Location:** Philadelphia, PA, United States - **Contract:** Internship / Graduate position - **Skills:** Accounting Systems, Artificial Intelligence, Microsoft Azure, Cloud Computing, Continuous Integration, Data Governance, Python (Programming Language), Windows PowerShell, Power BI, Cloud Services, Runbook, Search Technologies, SQL Databases, Tableau (Software), Data Logging, Cloud Platform System, System Availability, Snowflake, Software Troubleshooting, Git, AI Platforms, Deployment Automation, Data Management, Machine Learning Operations, Databricks - **Published:** August 11, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/data-and-ai-platform-engineer-19190-philadelphia-pa-usa-58898033 ## About the Role semantic and checklists (approvals, promotion steps, rollback notes, release docs) * Assist teams with onboarding across core platforms (Fabric/Snowflake/Databricks) and BI tools (Power BI/Tableau) * Support basic performance triage and escalate as needed (query failures, refresh issues, capacity) * Help build and maintain runbooks and participate in incident response and preventative improvements * Follow and reinforce least-privilege access and secure secret handling; assist with data governance basics Tasks * Minimum 2 years in a data/platform/analytics engineering or cloud operations role (internships count) * Minimum 1 year of representative accounting experience or direct accounting systems exposure * Familiarity with a cloud data platform (Snowflake preferred; Fabric or Databricks acceptable) * Experience with a BI platform (Power BI or Tableau) * Understanding of CI/CD concepts (Git, branching/PRs, basic pipelines) * Basic scripting in Python or PowerShell (or willingness to a aaaG_ * Strong troubleshooting mindset and ability to document learnings * Exposure to cloud concepts (identity/access, logging/monitoring) * Familiarity with SQL and performance basics * Understanding of data governance concepts (PII, RLS/CLS, environment separation) * Any relevant certs (Azure fundamentals, Snowflake, Databricks) * Experience with AI/ML/GenAI enablement (model lifecycle, AI search, Azure OpenAI, or MLOps) Key requirements * Medical, dental, vision * Generous PTO plan and paid sick time * Flexible work arrangements * 401K with Profit Sharing * Wellness program * Generous parental leave ## Description Experteer Overview In this early-career role you will help build, operate, and improve cloud data/analytics platforms while supporting BI delivery. You'll work on platform reliability, CI/CD, and runbooks, learning security, governance, and deployment automation from senior engineers. The position sits within a collaborative, growth-minded accounting and consulting company known for supporting employee development. You'll influence how data platforms scale and govern workloads in a real-world business context. Compensation / Benefits * Support day-to-day operations for cloud data platforms (workspace setup, access requests, basic configuration, troubleshooting) * Assist with platform hygiene: organizing environments, documenting standards, improving repeatability * Help implement guardrails (naming/tagging conventions, access patterns, cost awareness) * Contribute to CI/CD workflows for data/analytics assets (pipelines, jobs, semantic models, reports) * Maintain reusable deployment templates and checklists (approvals, promotion steps, rollback notes, release docs) * Assist teams with onboarding across core platforms (Fabric/Snowflake/Databricks) and BI tools (Power BI/Tableau) * Support basic performance triage and escalate as needed (query failures, refresh issues, capacity) * Help build and maintain runbooks and participate in incident response and preventative improvements * Follow and reinforce least-privilege access and secure secret handling; assist with data governance basics Tasks * Minimum 2 years in a data/platform/analytics engineering or cloud operations role (internships count) * Minimum 1 year of representative accounting experience or direct accounting systems exposure * Familiarity with a cloud data platform (Snowflake preferred; Fabric or Databricks acceptable) * Experience with a BI platform (Power BI or Tableau) * Understanding of CI/CD concepts (Git, branching/PRs, basic pipelines) * Basic scripting in Python or PowerShell (or willingness to learn) * Strong troubleshooting mindset and ability to document learnings * Exposure to cloud concepts (identity/access, logging/monitoring) * Familiarity with SQL and performance basics * Understanding of data governance concepts (PII, RLS/CLS, environment separation) * Any relevant certs (Azure fundamentals, Snowflake, Databricks) * Experience with AI/ML/GenAI enablement (model lifecycle, AI search, Azure OpenAI, or MLOps) Key requirements * Medical, dental, vision * Generous PTO plan and paid sick time * Flexible work arrangements * 401K with Profit Sharing * Wellness program * Generous parental leave ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Technical Documentation - How Can I Write Them Better and Why Should I Care?](https://www.wearedevelopers.com/videos/681-technical-documentation-how-can-i-write-them-better-and-why-should-i-care) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)