Data Engineer

Become a part of io.net, where your ideas and passion drive the technology of tomorrow.

Position Data EngineerWhat We OfferWho We AreHow to Apply

Position: Data Engineer

About Us: We are a DePIN company revolutionizing decentralized compute and infrastructure. We are looking for smart engineers who thrive in dynamic environments and can help us build scalable, data-driven systems using Python, Kafka, PostgreSQL, and AWS.

Responsibilities:

• Design and build scalable ETL pipelines to handle large volumes of data.

• Develop and maintain data models and optimize database schemas.

• Work with real-time data processing frameworks like Kafka.

• Ensure data quality, consistency, and reliability across systems.

• Collaborate with backend engineers and data scientists to deliver insights.

• Monitor and troubleshoot data workflows to ensure high availability.

Qualifications:

• Strong programming skills in Python or Java.

• Experience with SQL and relational databases (e.g., PostgreSQL, MySQL).

• Knowledge of data pipeline tools like Apache Airflow, Spark, or similar.

• Familiarity with cloud-based data warehouses (e.g., Redshift, Snowflake).

• Understanding of data modeling and data governance principles.

Nice to Have:

• Hands-on experience with Kafka or other messaging platforms.

• Familiarity with machine learning pipelines or AI-driven systems.

• Knowledge of decentralized technologies and their data implications.

What We Offer:

• An opportunity to work at the cutting edge of decentralized computing and AI.

• A dynamic and supportive team that values innovation and collaboration.

• Flexibility to work remotely from anywhere in the world.

• A competitive compensation package, including equity and token grants.

• Regular team off-sites in various global locations.

Who We Are:

io.net is at the forefront of decentralized computing, revolutionizing the industry by creating the world’s largest decentralized compute platform. Our innovative “Internet of GPUs” addresses the global shortage in compute power by pooling GPUs from various sources into one powerful platform. This allows ML engineers to access nearly unlimited computing resources at a fraction of the cost, fueling AI innovation and transforming the future of technology.

How to Apply:

If you’re excited about the opportunity to join a revolutionary company at the intersection of AI, blockchain, and decentralized computing, please visit us at io.net/careers for instructions on how to apply.

Join us at io.net and be a part of the revolution in decentralized computing!