Senior Data Engineer
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Salary
≈ $15k – $39k per year (Estimated)
Location
Remote (Brazil, Bulgaria, Colombia, Cyprus, Kazakhstan, Mexico, Poland, Romania, Serbia, Georgia, Latvia, Uruguay)also open in Armenia, India, Ukraine
Seniority
Senior · 5+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Sep 16, 2026. DataArt scores B on the Alion truth index.
Overview
Company
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Profile match
DataArt is a global software engineering and consulting firm headquartered in New York that builds and modernises custom software, data platforms and cloud infrastructure for clients in finance, travel, healthcare, media and retail. Founded in 1997, it runs delivery centres across Europe, the Americas and Asia, including offices in Wroclaw, Lublin and Lodz in Poland and teams in India, and works with more than 400 enterprise clients. Its openings include senior .NET, Java, Python and frontend engineers, DevOps and site reliability engineers, data architects and data engineers, QA automation leads and solution consultants.
We are seeking a Senior Data Engineer with strong expertise in data modeling and ETL development using Snowflake. In this role, you will be responsible for designing and implementing robust data models, building reliable ETL pipelines, and contributing to the evolution of the data warehouse.
The primary objective of this exciting project is to enhance the functionality of a cutting-edge Data Platform, empowering business users with the insights they need to make data-driven investment decisions. The Data Platform is already in production, and we are developing new features and projects tailored to specific business data-driven needs as well as introducing ongoing architectural changes to increase usage efficiency.
- Data Modeling
- ETL pipeline development
- Data warehouse design and implementation
- 5+ years of work experience in a data engineering role or 3-5 completed projects
- Experience with Snowflake (Open Flow & Iceberg), Python, Azure, ETL pipelines, dbt, and complex SQL queries
- Knowledge of data management fundamentals (data modeling, data quality, metadata management, data warehouse/lake patterns, distributed systems)
- Good spoken English
- Financial, Investment experience
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