Data Engineer (AI)

Location: Armenia; 100% remote

Company

Software development company delivering projects for customers in the US and Europe with a distributed team across Eastern Europe, the Americas, Armenia, Georgia, and Kazakhstan.

What you will do

• Lead discovery and requirements-gathering sessions with business stakeholders.
• Document source schemas and define analytics-ready data model specifications.
• Build, optimize, and maintain end-to-end ETL/ELT pipelines using dbt macros, incremental models, and snapshots.
• Design medallion architecture layers, foundational tables, star schemas, and reporting marts with SLAs and data quality contracts.
• Optimize Spark jobs and diagnose pipeline issues involving Spark, Kafka, and dbt.
• Create technical documentation, data model diagrams, and operational runbooks for production support.

Requirements

• 5+ years of data engineering experience.
• Advanced proficiency in Python, Spark, and SQL.
• Strong experience with AWS and Databricks.
• Familiarity with Kafka and modern data stack tools such as dbt and Airflow or equivalent.
• Deep understanding of dimensional modeling, medallion architecture, and data warehouse design principles.
• Strong spoken English at Intermediate level or higher.

Nice to have

• Knowledge of lambda, kappa, and lakehouse system topologies.
• Ability to structure problems for AI assistance and design pipelines for AI-assisted development.

Culture & Benefits

• 100% remote work from Armenia.
• Full-time schedule of 8 hours per day.
• Long-term project with a US-based customer.
• USD compensation.
• Paid vacation and holidays.