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Actian

Offers data management and analytics platforms

Engineering Intern - Streaming Observability

Data EngineeringPosted on Apr 3
Internship · Summer 2026Remote in USA$20 - $30 /hrRemote

About the Job

Requirements

  • Must be actively enrolled in a college degree program
  • Must be legally authorized to work in the United States

Responsibilities

  • Design & Build: Develop the logic to intercept and observe streaming data metrics as it passes through Kafka I/O transforms.
  • Work with Modern Tech: Use Apache Beam to create portable data processing pipelines that handle massive scale.
  • Integrate: Work closely with our core engineering team to hook these observations into our Integration Manager dashboard.
  • Test & Validate: Ensure that the monitoring doesn't "break the pipes"—maintaining high throughput while gathering insights.

Desired Qualifications

  • Java or Python: Strong proficiency in at least one of these (as they are the primary languages for Beam).
  • Distributed Systems Concepts: You understand the basics of how data moves from point A to point B in a network.
  • The "Data Mindset": You know what a "Producer" and a "Consumer" are in the context of messaging (bonus points if you’ve touched Kafka before).
  • Previous experience with Apache Beam or Google Cloud Dataflow

About the Company

Actian

Offers data management and analytics platforms

Actian provides data management and analytics tools that help businesses connect to data, analyze it, and act on insights. Its products include Avalanche, a fully managed hybrid cloud data warehouse; DataCloud for data integration; Actian X for operational analytics, integration, and monitoring; Vector for high‑performance analytics; and Zen for embedded and IoT databases. These tools connect to various data sources, process data in real time, and let users run queries and analyses to derive insights, with options for both on‑premises and cloud deployments. Actian differentiates itself through an integrated suite that spans data ingestion, storage, analytics, and monitoring across on‑premises, cloud, and edge/IoT environments, enabling real‑time insight across diverse data sets. Its goal is to help organizations turn data into faster, better decisions, improve customer outcomes, manage risk, and unlock new revenue opportunities.

Company size
501-1,000
Company stage
Series E
Total funding
$84.5M
Headquarters
Redwood City, CA
Founded
2005

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