About the Role
Join Paradex as a Senior Data Engineer and work remotely to redefine decentralized finance. In this role, you will architect and implement robust data infrastructure that transforms raw data into actionable insights. You'll collaborate directly with our CEO and a small, elite team of builders, pushing the limits of performance and user experience.
What You'll Do
- Design & Build: Create and maintain scalable data pipelines, ETL processes, and data warehousing solutions that handle complex data requirements.
- Optimize & Scale: Improve data infrastructure performance, implement data quality measures, and develop automated monitoring systems.
- Empower & Enable: Partner with product, engineering, and go-to-market teams to deliver data solutions that drive strategic insights.
- Rapid Response: Quickly address time-sensitive data needs and ad-hoc requests from stakeholders, turning around critical analyses and data solutions with urgency while maintaining accuracy.
Requirements
- 7+ years of data engineering experience.
- Deep knowledge of data architecture, modeling, warehouse design, and ETL best practices.
- Proficiency with modern data stack (Snowflake, Airflow/DBT) and AWS.
- Experience with distributed systems, data streaming (Kafka/Kinesis), and optimization of large-scale data workflows.
- Proven track record of efficiently tackling urgent data requests and providing quick solutions to business-critical data needs.
What We Offer
- Competitive Pay: Top-tier compensation in the industry.
- Generous PTO: Unlimited vacation.
- Full Benefits: Comprehensive packages tailored by country.
- Tech Budget: $3,000 for your first-year setup.
- No manager 1:1s and no bullshit meetings.
This Senior Data Engineer role at Paradex offers a unique opportunity to work remotely in the fast-paced world of decentralized finance. With competitive pay and unlimited vacation, it's an attractive position for experienced data engineers.
Who Will Succeed Here
Proficient in designing and implementing ETL processes using dbt and Apache Airflow, with a deep understanding of data warehousing concepts, particularly in Snowflake, to ensure efficient data transformation and storage.
Self-motivated and disciplined in a remote work environment, able to manage time effectively, prioritize tasks, and communicate asynchronously with stakeholders, including the CEO, to ensure alignment on project goals.
Experienced in leveraging AWS services (like Kinesis and Lambda) for building scalable data pipelines and integrating streaming data solutions, with a strong analytical mindset to troubleshoot and optimize data workflows.
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