Data Engineer I: Build Scalable IoT Data Pipelines

re-zoo-me; Fremont, Northern (CA, KY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Nextpower, based in Fremont, CA, is seeking an early-career Data Engineer to help build and maintain data pipelines that ingest and process data from our solar tracker devices. You will write clean Go, Python, and SQL code, automate ingestion tasks, validate data, and collaborate with product teams to improve analytics.

The role offers growth in a fast-paced, mission-driven environment. Our work touches billions of data points across global deployments, supporting maintenance and product design

Qualifications

• Bachelor's degree in CS, Data Science, or related field.
• Foundational programming skills in Go or C, and SQL.
• Experience with Linux and scripting.
• Ability to work independently and as part of a team.
• Analytical mindset and problem-solving aptitude.

Responsibilities

• Build and maintain reliable data pipelines and architecture.
• Develop data pipelines, tools, and applications in Go, Python and SQL.
• Automate data ingestion and transformation tasks through appropriate tools and scripting.
• Review and debug pipeline code.
• Perform data validation and quality testing.
• Collaborate with internal teams to improve data products.
• Document data workflows and monitor pipeline health.
• Ensure our data stack stays up to date with latest technologies.

Skills

Go/C

SQL

Linux

Independent work

Teamwork

Education

Bachelor's degree in CS/Data Science

Tools

Databricks

Kafka

Spark

Hadoop

Timescale

Docker

Kubernetes

Airflow

Azure

AWS

Angular

React

Job description

Nextpower, based in Fremont, CA, is seeking an early-career Data Engineer to help build and maintain data pipelines that ingest and process data from our solar tracker devices. You will write clean Go, Python, and SQL code, automate ingestion tasks, validate data, and collaborate with product teams to improve analytics.

The role offers growth in a fast-paced, mission-driven environment. Our work touches billions of data points across global deployments, supporting maintenance and product design