Senior Data Engineer - Remote

Overview

We invite a Senior Data Engineer to play a key part in a large-scale data modernization effort for a major enterprise client. You’ll lead the Data Engineering team in migrating and transforming complex legacy data pipelines to a modern custom-built cloud environment for improved scalability, maintainability, and compliance.

In Short

• Join a fully integrated delivery team built on collaboration, transparency, and mutual respect
• Lead a skilled Data Engineering team through high-impact data platform transformation in a production environment
• Work hands-on with modern, in-demand technologies like GCP, Snowflake, Apache Iceberg, dbt, Airflow, Dataflow, and BigQuery
• Gain hands-on experience with Google Landing Zones

Requirements

• 5+ years in data engineering and data warehouse modeling
• Strong proficiency in designing and building ETL for large data volumes and streaming solutions
• Expert-level SQL skills and experience in Snowflake and Apache Iceberg tables
• Hands-on experience with GCP services (BigQuery, GCS, Airflow, Dataflow, Dataproc, Pub/Sub)
• Proficiency in Python for ETL scripting and DAG development
• Experience using dbt for data transformation and orchestration
• Familiarity with CI/CD processes and tools (Git, Terraform, Serverless)
• Degree in Computer Science, Data Engineering, Information Systems, or related fields
• Strong leadership skills with proven experience guiding technical teams
• Strong communication and collaboration abilities
• Upper-Intermediate+ English level

Benefits

• 30 paid days off per year
• 5 paid sick days and up to 60 days of medical leave
• Partially covered health insurance after probation
• Wellness bonus for gym memberships and sports nutrition
• Pay in U.S. dollars and cover all approved overtime
• Join English lessons and Dev.Pro University programs
• Participate in fun online activities and team-building events