Data engineer

DATAI SERVICES MCHJ; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

DATAI SERVICES MCHJ is seeking a data engineer to work on international projects from a fully remote setup. You will develop and maintain SQL queries and Python scripts, and help build ETL/ELT pipelines for diverse data sources.

The role requires strong SQL and Python skills, English at least B2, and a willingness to work US business hours. A university degree is not mandatory; Azure, Power BI and data warehousing know-how are a plus.

Qualifications

• Strong SQL knowledge: joins, CTEs, subqueries, window functions.
• Strong Python skills including Pandas and data handling.
• English level: Upper-Intermediate (B2) or higher.
• Willingness to work US business hours.
• Bachelor's degree not mandatory.
• Familiarity with Git is a plus.

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 troubleshoot data issues.
• Write basic technical documentation.
• Participate in technical discussions with US-based teams.

Skills

SQL

Python

English (B2+)

Analytical thinking

Git

Tools

Azure Data Factory

Azure Databricks

Azure Synapse

Power BI

Docker

dbt

Airflow

Spark / PySpark

Job description

Описание

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.

Задачи

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

Требования

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 A university degree is not mandatory. Будет плюсом: 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)

Условия

— fully remote, US projects, US time zone. Salary is negotiable, based on technical knowledge, English level and interview results. 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