Data Engineer Intern / Junior (US Projects)

Location: Remote from anywhere; availability during US business hours. Listed location: Tashkent, Uzbekistan.

Company

Work on international enterprise projects for US clients, helping businesses build modern data platforms, automate data processes, and improve data-driven decision-making.

What you will do

• Develop and maintain SQL queries and Python scripts.
• Assist with building and supporting ETL/ELT data pipelines.
• Clean, transform, validate, and work with structured and semi-structured data.
• Support system-to-system data integration and troubleshoot data issues.
• Participate in technical discussions and meetings with US-based teams.
• Write basic technical documentation.

Requirements

• Strong SQL skills, including JOINs, CTEs, subqueries, window functions, aggregations, keys and relationships, and basic query optimization.
• Strong Python skills, including data structures, functions, OOP, file handling for CSV, JSON, and Excel, exception handling, Pandas basics, and clean reusable code.
• English at Upper-Intermediate level (B2) or higher, with confident speaking in meetings and good written communication.
• Availability to work during US business hours.
• Strong logical and analytical thinking, basic Git knowledge, willingness to learn, and the ability to learn quickly.
• No professional experience is required when technical skills are strong. A university degree is not mandatory.

Nice to have

• Azure services, including Data Factory, Databricks, Synapse, SQL Database, ADLS Gen2, and DevOps; Microsoft Fabric; Power BI; and DAX.
• Apache Spark or PySpark, Delta Lake, Airflow, dbt, and Docker.
• Data warehousing, star-schema data modeling, SQL Server, or PostgreSQL.
• GCP services such as BigQuery or AWS services such as S3, Glue, or Redshift.

Culture & Benefits

• 100% remote work from anywhere.
• Real enterprise projects for US clients.
• Mentorship from experienced Data Engineers.
• Growth path from Intern to Junior, Middle, and Senior.
• Long-term opportunity with salary based on technical skills, English level, and interview results.

Hiring process

• CV review followed by an SQL and Python test.
• English interview, technical interview, and final interview.
• The application should include English level, SQL and Python experience, projects or GitHub if available, LinkedIn profile, and availability during US business hours.