Senior Data Engineer

A US-based MSP is looking for an experienced Data Engineer to design, implement, and maintain scalable data pipelines and cloud-native solutions. This role requires deep expertise in Python programming, cloud services, and SQL-based data modeling, with a strong emphasis on automation, reliability, and security.

COMPANY 
Atlas Technica — the US-based IT service provider for the hedge fund vertical. Founded and headquartered in New York in 2016, and rapidly growing all along the way. These days comprises 300+ engineers and 10+ established locations in the US, UK, Ukraine, Hong Kong, and Singapore. 

Location/Type: Remote (Ukraine only)
Hours: UA timezone, flexible

RESPONSIBILITIES: 

• Build and maintain efficient ETL workflows using Python 3, applying both object-oriented and functional paradigms.
• Write comprehensive unit, integration, and end-to-end tests; troubleshoot complex Python traces.
• Automate deployment and integration processes.
• Develop Azure Functions, configure and deploy Storage Accounts and SQL Databases.
• Design relational schemas, optimize queries, and manage advanced MSSQL features including temporal tables, external tables, and row-level security.
• Author and maintain stored procedures, views, and functions.
• Collaborating with cross-functional teams
   

REQUIREMENTS: 

• 5+ years as a Data Engineer 
• Strong Python (OOP + functional, production code, ETL workflows) 
• Testing (pytest, unit/integration tests) 
• ETL orchestration (Airflow, Dagster, or Prefect) 
• Advanced SQL (optimization, schema design, complex queries) 
• Cloud experience + serverless patterns (Azure Functions, Lambda, or Cloud Functions)

• Git, CI/CD

  
  NICE TO HAVEs: 

  • Microsoft SQL Server / T-SQL experience (temporal tables, row-level security, external tables)
  • Azure-specific SDKs and services (Azure Functions SDK, Key Vault, ARM templates)
  • Microsoft certifications

WE OFFER:

• Direct long-term contract with a US-based company
• Full-time remote role aligned with EST
• B2B set-up via SP (FOP in $USD)
• Competitive compensation
• Annual salary reviews and performance-based bonuses
• Company equipment provided for work
• Professional, collaborative environment with the ability to influence strategic decisions
• Opportunities for growth within a scaling global organization