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Cloud Data Engineer

Company:
AlphaPoint
Location:
Estanislao Severo Zeballos, Buenos Aires Province, B1888, Argentina
Posted:
October 11, 2025
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Description:

About Us

AlphaPoint’s AI Labs’ team of engineers and AI scientists is solving complex business problems by bridging the gap between transformative breakthroughs in AI technology and increasingly competitive markets.

Our team is developing and applying the latest generative AI, data and knowledge modeling technologies to large scale problems, right at the edge of what is possible.

AlphaPoint is a financial technology company powering digital asset exchanges and brokerages worldwide.

The Role

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

You

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

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