Chainalysis26.02.26
AI SCORE 8.5

Data Engineer II - Remote Position at Chainalysis

$190K–$235K/year

About the Role

We are looking for a Data Engineer II to join our team at Chainalysis. This Data Engineer II remote position offers an exciting opportunity to work with cutting-edge technologies in the blockchain space. You will be responsible for scaling systems and redesigning existing systems to handle large-scale data, ensuring that our infrastructure can support billions of daily requests.

What You'll Do

  • Scale systems and redesign existing systems to handle large-scale data.
  • Build ETL data pipelines using technologies such as Databricks, EMR, Athena, and Glue.
  • Collaborate with product managers to define system requirements and with UX teams to expose metrics effectively.
  • Write solid code to build a 100% cloud-deployed infrastructure capable of self-healing.
  • Work with data scientists to enable scalable querying of data assets.
  • Integrate with various data vendors to enhance our data assets and products.
  • Develop frameworks to simplify future integrations and test the quality of ingested data.
  • Participate in design and code review processes to ensure high-quality deliverables.

Requirements

  • Bachelor’s degree in Computer Science, Mathematics, Engineering, Information Management, or a related discipline, or equivalent experience.
  • Five (5) years of experience in data engineering or a closely related position, or a Master’s degree with three (3) years of experience.
  • Experience with scalable data processing and ETL pipelines.
  • Proficiency in building data pipelines using EMR, Airflow, Athena, Redshift, PostgreSQL, Snowflake, Kinesis, Lambda, or Databricks.
  • Strong programming skills in Python or SQL.
  • Experience implementing observability and monitoring tools such as Humio, Datadog, Amazon CloudWatch, or AWS CloudTrail.
  • Excellent communication skills with both technical and non-technical stakeholders.

Nice to Have

  • Experience with cloud technologies and services.
  • Familiarity with data governance and quality assurance processes.
  • Knowledge of blockchain technology and its applications.

What We Offer

  • Competitive salary range of $190,000 to $235,000 annually.
  • Equity options and performance bonuses for eligible roles.
  • Comprehensive benefits package including health, dental, and vision insurance.
  • Remote work flexibility with a supportive team environment.
  • Commitment to diversity and inclusion in the workplace.
  • Opportunities for professional development and continuous learning.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Data Engineer II role at Chainalysis offers a competitive salary and the chance to work with innovative blockchain technology. Join a diverse team and enjoy remote work flexibility.

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

Who Will Succeed Here

Proficient in Python and SQL with hands-on experience in building data pipelines using AWS services such as EMR and Kinesis, capable of handling large-scale data processing efficiently.

Self-motivated and highly organized, thriving in a remote work environment, able to manage time effectively while collaborating with cross-functional teams to deliver high-quality data solutions.

Strong analytical mindset with experience in optimizing data architectures using tools like Databricks and Snowflake, ensuring scalability and performance of data systems.

Learning Resources

Python for Data Science Handbookguide

Career Path

Data Engineer II(Now)Senior Data Engineer(2-4 years)Lead Data Engineer / Data Architect(4-6 years)

Market Overview

Market Size 2024
$47.4B
Annual Growth
18.2%
AI Adoption
70%
Investment
+150%
Labour Demand
+35%
Avg Salary
$120K

Skills & Requirements

Required
PythonSQLDatabricks
Growing in Demand
Apache SparkMachine LearningData Warehousing
Declining
Hadoop MapReduceExcel VBA

Domain Trends

Increased Adoption of Cloud Data Solutions
Organizations are migrating to cloud-based data platforms, with 65% of companies planning to increase their investment in cloud data services by 2025.
Rise of Real-Time Data Processing
The demand for real-time data processing tools like Apache Kafka and Kinesis is growing, with a projected increase of 40% in usage by 2025.
Focus on Data Privacy and Security
With data breaches on the rise, 75% of companies are prioritizing data security measures in their data engineering practices, leading to a surge in demand for data engineers skilled in security compliance.

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