Data Engineer Intern / Junior (US Projects)
Summary
Fully remote intern/junior data engineer role working on US client projects during US business hours. Day to day: writing SQL and Python, building and supporting ETL/ELT pipelines, cleaning and validating data, and writing documentation, with Azure/Spark/Airflow/dbt as nice-to-have stack.
Data Engineer Intern / Junior Data Engineer — fully remote, US projects, US time zone. Salary is negotiable, based on technical knowledge, English level and interview results. No professional experience required if your technical skills are strong.
We work on international projects and help businesses build modern data platforms, automate data processes and make better decisions using data. You don't need to know everything from day one — we value strong fundamentals, analytical thinking, curiosity and the ability to learn quickly.
Responsibilities:
- Develop and maintain SQL queries and Python scripts
- Assist in building and supporting ETL/ELT data pipelines
- Work with structured and semi-structured data; data cleaning, transformation and validation
- Support data integration between systems and help troubleshoot data issues
- Participate in technical discussions and meetings with US-based teams
- Write basic technical documentation
Requirements (mandatory):
- Strong SQL: JOINs, CTEs, subqueries, window functions, aggregations; keys and relationships; basic query optimization
- Strong Python: data structures, functions, OOP, file handling (CSV, JSON, Excel), exception handling, Pandas basics, clean reusable code
- English Upper-Intermediate (B2) or higher — confident speaking in meetings and good written communication
- Strong logical and analytical thinking, basic Git, willingness to learn
- Availability to work during US business hours
Nice to have:
- Azure (Data Factory, Databricks, Synapse, SQL Database, ADLS Gen2, DevOps), Microsoft Fabric, Power BI, DAX
- Apache Spark / PySpark, Delta Lake, Airflow, dbt, Docker
- Data Warehousing, data modeling (star schema), SQL Server / PostgreSQL
- GCP (BigQuery) or AWS (S3, Glue, Redshift)
We offer:
- 100% remote work from anywhere
- Real enterprise projects for US clients
- Mentorship from experienced Data Engineers
- Growth path: Intern → Junior → Middle → Senior
- Competitive salary based on your skills and interview results
- Long-term opportunity — we are looking for future team members
Selection process: CV review → SQL & Python test → English interview → technical interview → final interview.
How to apply: apply on hh.uz and in your cover letter include: your English level, your SQL and Python experience, projects or GitHub (if any), LinkedIn profile, and your availability to work in US business hours. A university degree is not mandatory.