Remote Data Engineer: Scale Analytics & Data Quality

Zeely AI; United States; Remote; USD 130,000 - 190,000; Full time

Benefits offered by this job

Remote-first format

Offices in Warsaw (optional)

Offices in Kyiv (optional)

Day off and sick leave

Performance reviews

Financial consultations for private ̈

Job summary

Zeely AI is seeking a senior Data Engineer to design and scale our analytics infrastructure, including data collection, ETL/ELT, orchestration, backfills and monitoring. You will connect marketing platforms, billing systems, product events and internal databases to ensure reliable data delivery.

You will own the dbt layer and datasets for product, marketing, finance and experimentation analytics, implement data quality practices, and document sources, models and business logic to empower

Qualifications

• 5+ years in data analytics, BI or data engineering with 1.5+ years as a Data Engineer.
• Strong SQL and Python for large data volumes and integrations.
• Production experience with dbt and analytical modeling.
• Experience with a cloud data warehouse and scheduled pipelines.

Responsibilities

• Develop the company's analytics infrastructure: data collection, ETL/ELT, orchestration, backfills and monitoring
• Connect and maintain key data sources: marketing platforms, billing systems, product events and internal databases
• Build and maintain the dbt layer and prepared datasets for product, marketing, finance and experimentation analytics
• Implement data quality practices: tests, validations, reconciliation, freshness and schema change control
• Document sources, models and business logic

Skills

SQL

Python

Data modeling

ETL/ELT

API integrations

Tools

dbt

Airflow

Prefect

BigQuery

PostgreSQL

Job description

Zeely AI is seeking a senior Data Engineer to design and scale our analytics infrastructure, including data collection, ETL/ELT, orchestration, backfills and monitoring. You will connect marketing platforms, billing systems, product events and internal databases to ensure reliable data delivery.

You will own the dbt layer and datasets for product, marketing, finance and experimentation analytics, implement data quality practices, and document sources, models and business logic to empower