Data Platform Intern

Datorth; New York (NY); Hybrid; USD 26,000 - 34,000; Part time

Job summary

Datorth in New York is seeking an intern to join the platform engineering crew, strengthening observability, automation, and governance across the multi-cloud data stack. You’ll help build tooling that makes streaming, warehousing, and governance safer and faster.

You’ll work with platform engineers to improve core services powering customer deployments and extend tooling for streaming clusters, contracts, and observability pipelines.

Qualifications

• Python, Go, or TypeScript fundamentals.
• Exposure to container orchestration (Docker/Kubernetes).
• Understanding of data pipelines or distributed systems.

Responsibilities

• Work alongside platform engineers to improve core services that power Datorth’s customer deployments.
• Extend internal tooling that provisions streaming clusters, data contracts, and observability pipelines.
• Create Terraform modules and reusable scripts.
• Improve CI/CD checks for data workflows.

Skills

Python fundamentals

Go fundamentals

TypeScript fundamentals

Education

Pursuing a degree in computer science, data engineering, or related field

Tools

Docker

Kubernetes

Job description

Join our platform engineering crew to strengthen observability, automation, and quality across Datorth’s multi-cloud data stack. You’ll build tooling that makes streaming, warehousing, and governance safer and faster.

Tooling

Automate reliability

Build scripts, dashboards, and alerts that keep data products observable from ingestion to activation.

Learning

Operate at scale

Gain hands-on experience with production-grade streaming and data governance systems.

Top 5 Intern projects open sourced

What you’ll do

Work alongside platform engineers to improve core services that power Datorth’s customer deployments.

Extend internal tooling that provisions streaming clusters, data contracts, and observability pipelines.

• Create Terraform modules and reusable scripts
• Improve CI/CD checks for data workflows
• Document runbooks for platform teams

Observability & insights

Design dashboards that track latency, data quality, and platform SLIs across hybrid environments.

• Integrate metrics from Flink/Spark and Kafka
• Automate anomaly alerts with threshold logic
• Share findings in recurring platform reviews

Quality experiments

Prototype tooling that validates schemas, data contracts, and governance policies automatically.

• Build CLI or web utilities for engineers
• Collaborate with data governance to codify rules
• Measure improvements in deploy velocity

What we’re looking for

You’re energized by complex systems, clean automation, and shaping infrastructure that powers mission‑critical data products.

Qualifications

Pursuing a degree in computer science, data engineering, or related field with experience in scripting and cloud services.

• Python, Go, or TypeScript fundamentals
• Exposure to container orchestration (Docker/Kubernetes)
• Understanding of data pipelines or distributed systems

Nice to have

Any projects involving streaming frameworks, observability stacks, or infrastructure-as-code.

• Experience with Kafka, Pulsar, or similar
• Grafana/Prometheus or OpenTelemetry knowledge
• Contributions to open-source tooling

Program highlights

Hybrid schedule with on‑site collaboration days and immersive workshops on Datorth’s data platform.

• Mentorship cohort with technical workshops
• Intern cohort hackathon and demo day
• Potential full‑time return offers

How to stand out

Share repos or documentation demonstrating how you reason about reliability, automation, or developer experience.

• Include GitHub links or tech blogs
• Highlight teamwork on platform/infrastructure projects
• Tell us what data problems you want to solve

Ready to build the Datorth platform?

Send us your resume, a quick intro, and links to any relevant projects. We can’t wait to meet you.