Crypto.com25.02.26
AI SCORE 8.5

Senior Data Engineer - Finance Technology

$120K–$150K/year

About the Role

We are hiring a Senior Data Engineer - Finance Technology to join our innovative team at Crypto.com. As a Senior Data Engineer, you will play a crucial role in designing, developing, maintaining, and improving software for various projects related to our core business. This position offers the opportunity to work remotely while being part of a dynamic team that is committed to delivering high-quality data solutions.

What You'll Do

  • Design and build a universal data platform capable of supporting both real-time and batch computing and storage needs.
  • Define and implement data pipeline architectures tailored to specific business scenarios, leveraging diverse infrastructures and delivery methods.
  • Continuously enhance the data platform to improve data asset stability, flexibility, and resource efficiency.
  • Deliver tailored data products that empower users with self-serve capabilities and ensure accurate answers to their data queries.
  • Collaborate with Finance teams to build and maintain a data transformation pipeline that guarantees data quality, delivery, and timely financial reporting.

Requirements

  • Bachelor’s degree or above in Computer Science, Data Science, Mathematics, or a related field.
  • 5+ years of hands-on data development experience, specifically in data engineering roles.
  • Proficient in Hadoop, Spark, Flink, Airflow, and other mainstream data platform technologies.
  • Strong understanding of distributed systems, computation, and storage architectures.
  • Excellent communication skills, strong logical thinking, self-motivation, and a commitment to continuous learning.
  • Experience/knowledge in the accounting domain is a plus.

Nice to Have

  • Familiarity with cloud platforms such as AWS or Azure.
  • Experience with data visualization tools like Tableau or Power BI.
  • Knowledge of machine learning principles and practices.

What We Offer

  • Competitive salary and attractive annual leave entitlement, including birthday and work anniversary leave.
  • Flexibility in work hours and the option for a hybrid or fully remote setup.
  • Access to our internal mobility program for career development opportunities.
  • Crypto.com Visa card provided upon joining.
  • A supportive work culture that encourages innovation and teamwork.

Are you ready to kickstart your future with us? Join our team as a Senior Data Engineer - Finance Technology and help us shape the future of cryptocurrency!

Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Engineer role at Crypto.com offers a unique opportunity to work in the fast-paced world of finance technology. Enjoy remote work, competitive salary, and a supportive team environment.

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

Who Will Succeed Here

Proficient in building and optimizing data pipelines using technologies like Hadoop, Spark, and Flink, with a strong focus on ensuring data quality and integrity.

Self-motivated and disciplined for remote work, demonstrating the ability to manage time effectively and collaborate asynchronously with team members across different time zones.

Deep understanding of distributed systems architecture and best practices, with a mindset geared towards scalability and performance optimization in high-volume finance technology environments.

Learning Resources

Data Engineering on Google Cloudcourse

Career Path

Senior Data Engineer - Finance Technology(Now)Lead Data Engineer(1-2 years)Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$24.5B
Annual Growth
22.3%
AI Adoption
42%
Investment
+150%
Labour Demand
+35%
Avg Salary
$130K

Skills & Requirements

Required
Data EngineeringHadoopSpark
Growing in Demand
Machine LearningCloud Data WarehousingData Governance
Declining
ETL Tools (e.g., Informatica)Traditional RDBMS (e.g., Oracle DB)

Domain Trends

Increased Adoption of Cloud Data Platforms
76% of organizations are migrating to cloud data platforms, driving demand for skills in cloud-native data engineering.
Focus on Data Quality and Governance
85% of companies are prioritizing data quality initiatives, emphasizing the importance of data governance in engineering roles.
Integration of AI in Data Processing
AI is being integrated into data pipelines, with 60% of data engineering teams leveraging AI tools to enhance data processing efficiency.

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