Data Engineer Supply Chain Planning

Job Description

#### Job Description

**We strive to be Your Future, Your Solution to accelerate your career!
Contact Nick Polutnik at [email protected], you can also schedule an appointment at https://calendly.com/npolutnik-saigepartners/30min?month=2026-01 to learn more about this opportunity!
Data Platform Engineer II**

Seeking an experienced Data Platform Engineer II to help build and improve enterprise data and analytics platforms in **Google Cloud Platform (GCP)**.

**Key Responsibilities**

* Drive the roadmap and continuous improvement of data ingestion, orchestration, and platform tools.
* Build CI/CD, deployment automation, reusable frameworks, and self-service tools.
* Support and enhance Python-based data ingestion frameworks.
* Establish SDLC, source control, deployment, and engineering standards.
* Improve platform reliability, monitoring, observability, and developer productivity.
* Partner with Data Engineering, Architecture, Infrastructure, Security, Governance, and Analytics teams.
* Evaluate new technologies and help shape enterprise data platform strategy.
* Create technical documentation, onboarding materials, and operational standards.

**Qualifications**

* Bachelor's degree in Computer Science, Engineering, MIS, or related field.
* 7 years of experience with enterprise data, analytics, cloud, DevOps, ingestion, orchestration, or related platforms.
* Strong experience with CI/CD, automation, SDLC standards, and platform roadmaps.
* Python, SQL, or scripting experience.
* Experience building reusable tools, frameworks, and developer enablement solutions.
* Strong communication, problem-solving, and cross-functional collaboration skills.
* Ability to influence technical direction across teams.

**Preferred**

* GCP experience with BigQuery, Cloud Storage, Composer/Airflow, Pub/Sub, Dataflow, Dataproc, Kubernetes/GKE, Cloud Build, or similar services.
* Experience with Azure DevOps, GitHub Actions, Jenkins, or similar CI/CD tools.
* Experience with APIs, large-scale data ingestion, semantic layers, analytics, or AI platforms.
* Experience supporting enterprise Data \& Analytics organizations.

**Salary:**$113,000 - $158,000 Bonus