Salary
≈ $15k – $39k per year (Estimated)
Location
Remote (Bulgaria, Cyprus, Kazakhstan, Poland, Romania, Serbia, Ukraine, Armenia, Georgia, Latvia)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 28, 2026.
Overview
Company
Impact
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 looking for a Senior Snowflake Data Engineer to contribute to the development and optimization of scalable cloud based data solutions.
The Music Platform supports the technical needs of a data engineering and business intelligence team across Finance, Royalties, Copyright, and Writer and Publisher Relations. You will work on reliable, accurate, and scalable data solutions that help stakeholders access and use business critical data.
- Design scalable data pipelines and data solutions using Snowflake and AWS
- Develop data transformations and data processing workflows
- Design efficient data models and structures in Snowflake
- Develop infrastructure using Terraform and Infrastructure as Code practices
- Implement automated processes for data integration, validation, and monitoring
- Optimize data pipelines and Snowflake workloads for performance, scalability, and reliability
- Monitor data processes and troubleshoot data pipeline and platform issues
- Perform root cause analysis and implement sustainable solutions to technical issues
- Ensure data quality, consistency, and reliability across data pipelines and systems
- 5+ years of experience in Data Engineering
- Strong hands on experience with Snowflake
- Strong experience with AWS cloud services and cloud based data solutions
- Solid experience with Terraform and Infrastructure as Code
- Strong knowledge of SQL and experience with complex queries and data transformations
- Experience designing and implementing scalable data pipelines
- Experience with data modeling and data warehouse concepts
- Experience with CI/CD and automated deployment processes
- Experience with monitoring, troubleshooting, and optimizing data pipelines and cloud infrastructure
- Experience with AWS services such as S3, Lambda, Glue, Step Functions, EMR, or CloudWatch
- Experience with Snowflake performance optimization and cost management
- Experience with dbt or similar data transformation frameworks
- Experience with orchestration tools such as Airflow
- Experience with data quality and observability tools
- Experience working in the music, media, royalties, or financial data domain
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