Data Engineer - Airflow, dbt & Analytics Pipelines

Everytable; Los Angeles (CA); On-site; USD 115,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Unlimited PTO

401(k) plan

Meal discounts

Job summary

Everytable is seeking a Data Engineer to build scalable data pipelines powering reporting, forecasting, and operational insights across the business.

You will collaborate with finance, marketing, and operations, implement Airflow-based pipelines, and manage dbt transformations to ensure accurate, timely data. You’ll focus on observability, reliability, and clean data lineage.

Join a mission-driven company offering competitive compensation and comprehensive benefits.

Qualifications

• 2–5 years of experience in Data Engineering, Analytics Engineering, Data Science or related roles.
• Strong proficiency in Python and SQL, with advanced transformation patterns.
• Experience building observable pipelines in Airflow and using dbt for transformations.

Responsibilities

• Build, maintain, and optimize data pipelines using Apache Airflow.
• Ensure pipelines are observable, reliable, and monitorable (alerts, SLAs, logging).
• Design and develop data models with dbt and own the SQL transformation layer.

Skills

Python

SQL

Airflow

dbt

Data pipelines

Tools

dbt

GitHub Actions

Snowflake

Job description

Everytable is seeking a Data Engineer to build scalable data pipelines powering reporting, forecasting, and operational insights across the business.

You will collaborate with finance, marketing, and operations, implement Airflow-based pipelines, and manage dbt transformations to ensure accurate, timely data. You’ll focus on observability, reliability, and clean data lineage.

Join a mission-driven company offering competitive compensation and comprehensive benefits.