Paradex is a decentralized finance platform combining exchange trading, asset management, and borrow/lend functionality within a single unified account structure. The company operates a high-throughput blockchain-based system supporting a wide range of spot and derivatives markets. As a Data Engineer, you will be responsible for designing and maintaining the data infrastructure that supports analytics, reporting, and decision-making across the organization.

The role focuses on building scalable data pipelines, enforcing data quality standards, and ensuring reliable access to structured data. You will work closely with engineering, product, and go-to-market teams to deliver timely data solutions, while responding to urgent analytical requests without compromising accuracy or system stability.

🔹 Responsibilities

Design, build, and maintain scalable data pipelines, ETL workflows, and data warehousing systems.
Optimize data infrastructure performance, implement data quality controls, and create automated monitoring processes.
Collaborate with engineering, product, and go-to-market teams to deliver data solutions that support strategic and operational decisions.
Handle time-sensitive and ad-hoc data requests, delivering accurate analyses and solutions under tight timelines.

🔹 Requirements

Minimum 7 years of professional experience in data engineering roles.
Strong understanding of data modeling, data warehouse architecture, and ETL best practices.
Hands-on experience with modern data stacks including Snowflake, Airflow, DBT, and AWS.
Background in distributed systems, data streaming technologies (Kafka or Kinesis), and large-scale data workflow optimization.
Demonstrated ability to respond efficiently to urgent, business-critical data needs.

🔹 Compensation & Benefits

Competitive industry-aligned compensation.
Unlimited paid time off.
Country-specific comprehensive benefits packages.
USD 3,000 technology budget for first-year setup.
Flat working structure with no recurring 1:1 management meetings.

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