Data Engineer: Build Scalable Pipelines, AI Workflows

Globaldev Group; United States; Remote; USD 110,000 - 180,000; Full time

Benefits offered by this job

20 days vacation

Public holidays

Mobilization reservation for Ukrainian

Bookkeeping by accountant

HR team support

Job summary

Globaldev Group is seeking a Backend Data Engineer with 3+ years of experience to join a fast-paced team building modern data platforms and AI-assisted development tools.

You will design and maintain scalable data pipelines, work with Snowflake and Databricks, and leverage GenAI tools to accelerate workflows. The role emphasizes ownership, collaboration, and a product-oriented mindset across engineering, analytics, and product teams.

Qualifications

• 4+ years experience in Data or Backend Engineering.
• Strong SQL, dbt, data modeling, and data pipelines experience.
• Experience with Snowflake and/or Databricks and orchestration tools.
• Comfort adopting GenAI tools in daily engineering.

Responsibilities

• Design, build, and maintain scalable data pipelines and backend data infrastructure.
• Develop transformations with dbt and cloud platforms like Snowflake/Databricks.
• Manage workflow orchestration for reliable production data processes.
• Create internal data apps with Streamlit.
• Collaborate with Data Product Managers to translate requirements.
• Team up across engineering, analytics, and product; challenge assumptions.
• Leverage GenAI tools to accelerate engineering workflows.
• Own projects from design through deployment and improvement.

Skills

dbt

SQL

data modeling

data pipelines

communication

ownership

teamwork

GenAI tools

independence

Tools

Snowflake

Databricks

Orchestration tools

Streamlit

Job description

Globaldev Group is seeking a Backend Data Engineer with 3+ years of experience to join a fast-paced team building modern data platforms and AI-assisted development tools.

You will design and maintain scalable data pipelines, work with Snowflake and Databricks, and leverage GenAI tools to accelerate workflows. The role emphasizes ownership, collaboration, and a product-oriented mindset across engineering, analytics, and product teams.