Cloud Data Engineer

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October 8

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AlphaPoint

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Finance • Fintech • Crypto

AlphaPoint is a technology company that provides institutional-grade, white label digital asset infrastructure aimed at powering the next generation of financial marketplaces, payment networks, and banking. Its solutions enable secure and scalable digital asset exchanges and brokerages through a comprehensive trading platform suitable for both enterprise and entrepreneurial use. AlphaPoint offers a variety of products including exchange software, digital wallet ecosystems, brokerage platforms, automated market making software, and payment card solutions. The company also provides expert advisory and implementation services for digital asset integration, supporting the global demand for innovative financial products and services.

51 - 200 employees

Founded 2013

💸 Finance

💳 Fintech

₿ Crypto

📋 Description

• Build a scalable and highly performant infrastructure to process batch and real-time workloads • Work with the AI engineering team and external engineering teams to monitor and extract data from a vast array of data sources • Implement ETL data pipelines • Architect backend data solutions to support various microservices • Develop third-party integrations with large-scale legacy systems

🎯 Requirements

• Bachelor’s degree in computer science or similar discipline • 7-10 years experience in software development • Proficient in Python, Node.js, and/or Java • Familiarity with the basic principles of distributed computing and data modeling • Experience building ETL pipelines using Apache Airflow and Spark, Databricks, or other pipeline orchestration tools • Experience with NoSQL databases such as MongoDB, Cassandra, DynamoDB, or CosmosDB • Experience with real-time stream processing systems like Kafka, AWS Kinesis, GCP Data Flow • Experience with Redis, Elasticsearch, Solr • Experience with messaging systems like RabbitMQ, AWS SQS, GCP Cloud Tasks • Ability to find creative ways to harvest data in unstructured formats by scraping, modeling, and ingesting data into semantic databases and graphs • Familiarity with Delta Lake and Parquet files • Familiarity with one or more cloud providers: AWS, GCP, or Azure • Proficiency with Test Driven Development (TDD) • Proficiency with Git using services such as Github or Bitbucket • Additional Preferred Qualifications: Experience in a production environment with large-scale knowledge systems. Great written and verbal communication skills. Team player hungry to learn from and teach fellow team members.

🏖️ Benefits

• 100% Remote Work Environment • Competitive compensation • Equity or stock options (if applicable) • A culture of autonomy, experimentation, and learning • Opportunity to make a real impact on company trajectory