Remote Data Engineer: Marketing Systems & Data Flows

Devconnectplatform; United States; Remote; USD 100,000 - 160,000; Full time

Benefits offered by this job

Remote Work Environment

Unlimited PTO

Paid National Holidays

Company-provided MacBook

Flexible Independent Contractor-like (

Job summary

Ruby Labs is seeking a Data Engineer to own data engineering tasks and marketing system integrations. The role centers on Python, SQL, and Bash with GTM, pixels, JavaScript, and ad platforms experience.

You will work with Airbyte, Airflow, and BigQuery/ClickHouse to move and quality-check data across production systems. Remote-first, globally distributed team culture with growth in GCP, dbt, and DataOps practices.

Qualifications

• Strong Python, SQL, and Bash skills.
• Experience with Google Tag Manager, pixels, conversion setup, and JavaScript.
• Experience with Google Ads, Meta Ads, Bing Ads.
• Basic understanding of BigQuery, ClickHouse, dbt, and documentation practices.
• Airbyte or similar ingestion tool experience is nice to have.
• Basic Airflow familiarity is nice to have.
• Strong problem-solving skills and attention to detail.

Responsibilities

• Support and improve integrations in Airbyte and Airflow.
• Work with GTM, marketing data sources, tracking, pixels, and conversion workflows.
• Help move and transform data across BigQuery, GCS, Pub/Sub, ClickHouse, and external systems.
• Troubleshoot pipeline, tracking, payment, and data quality issues.
• Support payment orchestration data flows, including subscriptions and payment processing.
• Work with different systems in combination and document how data flows between them.

Skills

Python

SQL

Bash

JavaScript

Problem-solving

Attention to detail

Tools

Airbyte

Airflow

dbt

BigQuery

ClickHouse

Job description

Ruby Labs is seeking a Data Engineer to own data engineering tasks and marketing system integrations. The role centers on Python, SQL, and Bash with GTM, pixels, JavaScript, and ad platforms experience.

You will work with Airbyte, Airflow, and BigQuery/ClickHouse to move and quality-check data across production systems. Remote-first, globally distributed team culture with growth in GCP, dbt, and DataOps practices.