Role in brief
Paradex is building a decentralized finance platform and needs a Senior Data Engineer to design and maintain its data infrastructure. This role involves developing scalable data pipelines and warehousing solutions. Candidates with significant experience in data engineering, particularly with modern data stacks and distributed systems, will find this role a strong fit.
About the role
This role focuses on building and maintaining the data infrastructure for a decentralized finance platform. The work involves creating scalable data pipelines, developing ETL processes, and designing data warehousing solutions. A key aspect of the position is ensuring data quality and optimizing infrastructure performance to support the platform's operations.
The Senior Data Engineer will collaborate with various teams, including product, engineering, and go-to-market, to deliver data solutions that meet business needs. This includes responding to urgent data requests and providing ad-hoc support to stakeholders. The goal is to provide reliable and efficient data services across the organization.
Success in this position means consistently delivering high-quality data solutions that enhance the platform's capabilities. It requires a deep understanding of data modeling, warehouse design, and ETL best practices. The ideal candidate will leverage their expertise to build robust systems that support a fast-growing decentralized finance ecosystem.
The salary for this position ranges from $130,000 to $250,000 USD.
Skills that matter here
- Snowflake: This role requires proficiency in Snowflake for data warehousing and analytics.
- Airflow: Experience with Airflow is needed for orchestrating data pipelines and workflows.
- DBT: The role utilizes DBT for data transformation and modeling within the data warehouse.
- AWS: Proficiency with AWS services is essential for managing cloud-based data infrastructure.
- Kafka: Experience with Kafka is necessary for handling real-time data streaming.
- Kinesis: This role uses Kinesis for processing and analyzing streaming data.
Who this role suits
- A candidate with at least seven years of experience in data engineering.
- Someone who thrives on designing and optimizing scalable data infrastructure.
- An individual who can effectively partner with diverse teams to deliver data solutions.
- A professional comfortable addressing time-sensitive data needs and ad-hoc requests.
From the employer
- Create and maintain scalable data pipelines, ETL processes, and data warehousing solutions.
- Improve data infrastructure performance and implement data quality measures.
- Partner with product, engineering, and go-to-market teams to deliver data solutions.
- Address time-sensitive data needs and ad-hoc requests from stakeholders.
- 7+ years of data engineering experience.
- Deep knowledge of data modeling, warehouse design, and ETL best practices.
- Proficiency with modern data stack (Snowflake, Airflow/DBT) and AWS.
- Experience with distributed systems and data streaming (Kafka/Kinesis).
- Top-tier compensation in the industry.
- Unlimited vacation.
- Comprehensive benefits packages tailored by country.
- $3,000 tech budget for first-year setup.
- No manager 1:1s and no unnecessary meetings.
Questions about this role
What is the remote work policy for this position?
This is a fully remote position with no specified geographic restrictions.
What level of seniority is expected for this role?
This is a senior-level position, requiring substantial experience in data engineering.
What are the key technical skills required for this role?
Key technical skills include Snowflake, Airflow, DBT, AWS, Kafka, and Kinesis, along with deep knowledge of data modeling and ETL best practices.
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