Data Engineer (Marketing Systems)

About Ruby Labs

Ruby Labs is a leading tech company that creates and operates innovative consumer products across the health, education, and entertainment industries. Our teams are driving the future of consumer-led products.

About the Role

We are seeking a Data Engineer to own and deliver across data engineering tasks, integrations, and marketing systems. This is not a junior role—we need someone who can quickly understand production systems, solve problems independently, and ship reliable work.

The core technical foundation is Python, SQL, and Bash. Experience with Google Tag Manager, pixel/conversion setup, and JavaScript is required. Airbyte and Airflow experience is valuable but not mandatory.

Key Responsibilities

• Support and improve integrations in Airbyte and Airflow
• Work with GTM, marketing data sources, tracking, pixels, and conversion workflows
• 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
• Document data flows between systems and collaborate cross-functionally with Data, Marketing, Product, Engineering, and Billing teams

Required Skills & Experience

• Strong Python, SQL, and Bash proficiency
• Hands-on experience with Google Tag Manager, pixels, conversion setup, and JavaScript
• Working knowledge of Google Ads, Meta Ads, and Bing Ads
• Engineering mindset with ability to work with production data systems
• Basic understanding of BigQuery, ClickHouse, dbt, and documentation practices
• Strong problem-solving skills and attention to detail

Nice to Have

• Airbyte or similar data ingestion tool experience
• Basic Airflow familiarity

Growth Opportunities

Develop expertise across GCP infrastructure, DataOps, dbt, BigQuery, ClickHouse, Git, CI/CD, and software engineering practices. Gain exposure to internal monitoring platforms, microservices, alerting, and observability tools through real production problem-solving.

Salary Disclosure: The salary range of $130,000–$185,000 USD annually is an editorial market estimate based on role level, location, and industry benchmarks. This is not employer-provided compensation and may vary significantly by candidate experience, qualifications, and geographic location.