Data Engineers

Hybrid in Houston, TX, US • Posted 6 days ago • Updated 6 days ago
Full Time
25% Travel Required
Hybrid
$100,000 - $120,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • python
  • GCP
  • SQL

Summary

Job Purpose:

Acuity is seeking Data Engineers to join the Data Onboarding Engineering team. This role is focused on building and operating robust, scalable data pipelines that ingest and process 30+ TB of data daily, primarily using Python on Google Cloud Platform (Google Cloud Platform)

The engineer will collaborate closely with business partners, researchers, and trading teams to onboard high-value datasets that directly power systematic trading and research workflows. 

The ideal candidate is highly hands-on, production-focused, and comfortable operating in a high-performance, data-intensive environment

Essential Skills 

  • 5+ years of professional experience as a Data Engineer or in a similar role 
  • 5+ years of hands-on experience building ETL pipelines in production environments 
  • Strong Python programming skills for data processing and pipeline development 
  • Practical experience with cloud-based data platforms, preferably Google Cloud Platform (Google Cloud Platform) 
  • Solid understanding of data operations, including ingestion, processing, storage, quality, and lifecycle management 
  • Strong SQL skills and familiarity with data modeling concepts 

Nice-to-Have Skills 

  • Experience with Snowflake as a cloud data warehouse 
  • Exposure to Spark or other distributed data processing frameworks 
  • Familiarity with Lakehouse concepts (Delta Lake or similar formats) 
  • Experience with event-driven or streaming data pipelines 
  • Background working with financial, market, or alternative datasets 
  • Knowledge of data observability, lineage, and governance tooling 

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91173489
  • Position Id: 8925106
  • Posted 6 days ago
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