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Data Engineer Supply Chain Planning
Job Description
We strive to be Your Future, Your Solution to accelerate your career!
Contact Nick Polutnik at npolutnik@saigepartners.com, 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.
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