Talantix.io
Paradex•25.02.26
AI SCORE 8.5

Senior Data Engineer - Remote Role at Paradex

$150K–$200K/year
RemoteWeb3
Data Engineering•ETL•Data Warehousing•Snowflake•Airflow•dbt•AWS•Kafka•Kinesis

About the Role

Join Paradex as a Senior Data Engineer in a fully remote role where you will have the opportunity to architect and implement robust data infrastructure that transforms raw data into actionable insights. As a Senior Data Engineer, you will work directly with our CEO and a small, elite team of builders, pushing the limits of performance and UX in the decentralized finance space.

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

  • Expertise: 7+ years of data engineering experience.
  • Data Architecture: Deep knowledge of data modeling, warehouse design, and ETL best practices.
  • Technical Mastery: Proficiency with modern data stack (Snowflake, Airflow/DBT) and AWS.
  • Systems Thinking: Experience with distributed systems, data streaming (Kafka/Kinesis), and optimization of large-scale data workflows.
  • Agility: Proven track record of efficiently tackling urgent data requests and providing quick solutions to business-critical data needs.

Nice to Have

  • Experience with machine learning frameworks.
  • Familiarity with data governance and compliance.
  • Knowledge of blockchain technology.

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.
Why This Job8.5 of 10

This Senior Data Engineer role at Paradex offers a unique opportunity to work remotely with a top-tier team in the decentralized finance space. Enjoy competitive pay and unlimited vacation while making a significant impact.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Deep expertise in data engineering tools such as Snowflake, Airflow, and dbt, with a proven track record of designing and optimizing ETL processes for high-volume data applications.

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Strong problem-solving mindset with the ability to architect data solutions that enhance performance and user experience, particularly in decentralized finance environments, while working effectively in a fully remote setting.

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Experience leading projects that utilize AWS services, Kafka, and Kinesis, demonstrating a proactive approach to integrating real-time data processing and analytics into existing infrastructure.

Learning Resources

→Data Engineering on Google Cloudcourse
→ETL Concepts and Pipeline Designarticle
→Snowflake Documentationguide

Career Path

Senior Data Engineer - Remote Role at Paradex(Now)→Lead Data Engineer(1-2 years)→Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$29.4B
Annual Growth
23.1%
AI Adoption
45%
Investment
+150%
Labour Demand
+30%
Avg Salary
$135K

Skills & Requirements

Required
Data EngineeringETLData Warehousing
Growing in Demand
Machine LearningData VisualizationCloud Data Architecture
Declining
Traditional Data Warehousing (e.g., Oracle DB)On-Premises ETL Tools (e.g., Informatica PowerCenter)

Domain Trends

Rise of Real-Time Data Processing
With 70% of organizations prioritizing real-time data processing, tools like Kafka and Kinesis are becoming essential for data engineers.
Increased Adoption of Serverless Architectures
By 2025, 60% of new applications will be built on serverless architectures, driving demand for skills in AWS Lambda and similar technologies.
Shift Towards Data Democratization
Around 54% of companies are investing in self-service analytics tools, indicating a growing need for data engineers to facilitate access to data across departments.

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