Senior Data Engineer (Azure Databricks & DevOps)

Location: Remote from Tashkent, Uzbekistan; availability during US business hours required.

Salary: $1,500–$4,000 per month before taxes.

Company

DATAI SERVICES MCHJ provides engineering services for a long-term US-based project involving scalable data platforms.

What you will do

• Build and optimize large-scale data pipelines on Azure Databricks using PySpark and Delta Lake.
• Design reliable ETL/ELT ingestion and transformation processes.
• Set up CI/CD and automated deployments using Git, Azure DevOps, Jenkins, and Databricks Asset Bundles.
• Ensure data quality through validation, testing, monitoring, and production troubleshooting.
• Integrate external systems through REST APIs and support deployments across development, test, and production environments.
• Communicate directly with US clients, engineers, and stakeholders and explain technical solutions.

Requirements

• 3–6 years of professional experience in Data Engineering.
• Strong hands-on experience with Azure Databricks, including Jobs, Workflows, Unity Catalog, Delta Lake, and Databricks Asset Bundles.
• Advanced Python and SQL skills, with experience in PySpark and Apache Spark.
• Good understanding of Azure services, cloud infrastructure, networking, and security.
• Experience with DevOps and CI/CD, including Git, Azure DevOps, Jenkins, and release management.
• Knowledge of SDLC, Agile, and version control, plus production support experience.
• Advanced or fluent English for daily meetings with US teams, explaining technical solutions, and preparing professional emails and documentation.
• Ownership, problem-solving skills, ability to work independently, and availability during US business hours.

Nice to have

• Healthcare or financial data experience and experience with enterprise data platforms.
• Terraform or Infrastructure as Code experience.
• Experience with Jira, ServiceNow, AI coding assistants, or technical architecture diagrams.

Culture & Benefits

• Long-term remote work on a US-based project.
• International team collaboration.
• Monthly compensation before taxes based on experience and interview results.

Hiring process

• Apply through hh.uz.
• Include Data Engineering experience, Azure Databricks experience, English level, US-based client experience, and availability during the US time zone in the cover letter.
• Compensation is determined based on experience and interview results.