Remote Data Engineer — ETL Pipelines & Analytics

Boosta; United States; Remote; USD 90,000 - 140,000; Full time

Benefits offered by this job

Remote work

Flexible schedule

Medical insurance

English lessons

Relocation support

Job summary

Boosta’s Honeytech project is hiring a Data Engineer to build and optimize ETL/ELT pipelines, connect diverse data sources, and process advertising data for analytics. You’ll collaborate with analysts daily, ensure data quality, and help manage warehouse costs.

The role offers remote work with a global team, flexible schedule, and opportunities to advance in a fast-growing tech environment across Europe and beyond.

Qualifications

• 2+ years of experience as a Data Engineer or in related roles.
• Strong Python and SQL skills.
• Experience building ETL/ELT processes using Dataform, Airflow, dbt, or Prefect.
• Practical understanding of Git.
• Understands the business context behind data tasks and usage across units.

Responsibilities

• Building, monitoring, and optimizing ETL/ELT pipelines.
• Connecting new data sources, including APIs, databases, files, and events.
• Extracting data from advertising platforms such as Meta and Google Ads, processing it for analytics.
• Optimizing Data Warehouse costs.
• Setting up data quality processes to ensure accuracy and reliability.
• Collaborating with analysts on a daily basis and on specific tasks.

Skills

Python

SQL

ETL/ELT pipelines

Git

Business context understanding

Tools

Dataform

Airflow

dbt

Prefect

BigQuery

Job description

Boosta’s Honeytech project is hiring a Data Engineer to build and optimize ETL/ELT pipelines, connect diverse data sources, and process advertising data for analytics. You’ll collaborate with analysts daily, ensure data quality, and help manage warehouse costs.

The role offers remote work with a global team, flexible schedule, and opportunities to advance in a fast-growing tech environment across Europe and beyond.