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# Data Platform Engineer

- **Company:** Kforce Inc.
- **Location:** Conshohocken, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Software as a Service, Continuous Integration, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Data Sharing, Data Systems, Data Warehousing, DevOps, Python (Programming Language), Software Engineering, SQL Databases, System Availability, Snowflake, Generative AI, AI Coding Agents, Git, Build Management, Infrastructure Automation Frameworks, Deployment Automation, Terraform
- **Published:** November 13, 2026
- **Apply:** https://www.dice.com/job-detail/360c4a21-d4d8-41be-96ca-b746815f4fbf

## About the Role

* Ideally 10-15 years of progressive data engineering/platform experience
 * Expert SQL and strong data modeling/data warehouse design
 * Terraform/Infrastructure as Code and CI/CD experience
 * Python and modern software engineering practices
 * Hands-on API and data integration experience
 * Experience with external data sharing/reporting is highly valued
 * Experience using Generative AI/AI coding tools within development workflows

## Description

Kforce has a client that is seeking a Data Platform Engineer in Conshohocken, PA., We are seeking a hands-on Senior Data Platform Engineer to help build and evolve a modern cloud data platform. This is not a traditional ETL-focused role. We are looking for an experienced engineer who understands modern data platforms, automation, Infrastructure as Code, CI/CD, data products, and AI-assisted development.

Essential Functions:

 * Design and build scalable data products and modern cloud data solutions
 * Develop and optimize data models and transformations using dbt
 * Build and operate pipelines across APIs, files, SaaS platforms, and other sources
 * Apply Terraform/IaC, CI/CD, Git, testing, and deployment automation
 * Build/support APIs, external reporting, and secure data-sharing solutions
 * Improve platform reliability, observability, governance, lineage, and security
 * Use AI-assisted development tools for coding, testing, troubleshooting, documentation, and engineering productivity
 * Partner with business, product, security, and engineering teams to deliver scalable solutions

Overall Role/What They Are Trying to Build:

 * The organization is modernizing its data engineering environment and moving toward more standardized engineering practices and tooling
 * This is more of a Data Platform Engineer role than a traditional Data Engineer role
 * They are building toward a modern data platform rather than simply developing pipelines or working within a traditional data warehouse

Major areas of focus include:

 * Modern CI/CD practices
 * Infrastructure as Code
 * Better engineering processes and standards
 * Data modeling
 * External-facing APIs
 * External reporting
 * Data products that can be shared with other organizations/external partners
 * Snowflake as a major part of the data platform, The manager is looking for someone who understands the modern cloud data stack and modern engineering practices, rather than someone whose experience has primarily been in traditional/legacy data environments.

They specifically emphasized wanting someone who understands:

 * How to build and operate a modern data platform
 * Modern cloud data warehouses
 * Strong data modeling principles
 * CI/CD
 * Infrastructure as Code
 * External data sharing
 * APIs
 * External reporting

The candidate does not necessarily need to check every technology box if they have the right modern data-platform mindset.