About this role.
Ruby Labs is seeking a Data Engineer to own and deliver data engineering tasks, integrations, and marketing systems. The role requires strong Python, SQL, and Bash skills, along with experience in Google Tag Manager, pixels, conversion setup, and JavaScript. You will support integrations, troubleshoot pipeline and tracking issues, and collaborate across Data, Marketing, Product, Engineering, and Billing teams. The position is remote-friendly within roughly ±4 hours of CET and offers unlimited PTO, a company-provided MacBook, and a flexible contractor agreement. This is a production-focused role for an independent, proactive engineer who can ship reliable work.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
4/5Pace & Pressure
4/5Autonomy Level
5/5Communication Load
4/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
Skills and capabilities most closely associated with this opportunity.
Cover letter sample
Dear Hiring Team,
I am excited to apply for the Data Engineer (Marketing Systems) role at Ruby Labs. With a strong foundation in Python, SQL, and Bash, and hands-on experience with Google Tag Manager, pixels, and JavaScript, I have successfully built and maintained marketing data pipelines that power conversion tracking and payment flows. My ability to work independently and troubleshoot production systems aligns well with the ownership and proactivity you value.
I have worked with BigQuery, Airbyte, and Airflow to move and transform data across cloud environments, and I enjoy collaborating with cross-functional teams to ensure data accuracy and reliability. I am comfortable supporting urgent release-day needs and am ready to adapt to the CET-friendly working hours.
I look forward to the opportunity to bring my engineering mindset and delivery-focused approach to Ruby Labs. Thank you for your consideration.
Sincerely,
[Your Name]
Sample interview questions
I would first check the monitoring alerts and logs to identify the failure point. Then I would reproduce the issue in a staging environment, isolate the root cause (e.g., schema change, API timeout), and implement a fix with proper testing. I would also document the incident and add monitoring to prevent recurrence.
I would start by defining the conversion event and its parameters, then configure the relevant tags in GTM with triggers based on user actions. I would also ensure that the data layer captures the necessary values. For BigQuery, I would set up a pipeline to ingest the event data, perhaps via a proxy or server-side tagging, and transform it into a structured schema for analysis.
I have used Airbyte to create connectors for ad platform APIs (e.g., Google Ads, Meta Ads) and sync raw data into a warehouse. Airflow would be used to orchestrate these syncs on a schedule, handle dependencies, and trigger transformation jobs (e.g., dbt). I would also set up alerts to monitor sync health and data freshness.
I would first inspect the source system and the ingestion logs to see if duplicates originate from API retries or multiple event triggers. I would add idempotency keys and deduplication logic in the transformation layer, and possibly adjust the Airbyte sync settings (e.g., incremental mode). I would also monitor the flow to confirm the fix.
I implement data quality checks as part of the pipeline, such as row counts, schema validation, and anomaly detection. I also maintain clear documentation of data flows, using tools like dbt docs and markdown files in the repo, and schedule regular reviews with stakeholders to ensure alignment.
About us
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we’re always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
About the role
We are looking for a Data Engineer who can own and deliver across data engineering tasks, integrations, and marketing systems. This is not a junior learning role: we need someone who can quickly understand production systems, solve problems independently, and ship reliable work.
The core technical base is Python, SQL, and Bash. Experience with Google Tag Manager, pixel/conversion setup, and JavaScript is required. Airbyte and Airflow are nice to have, but not mandatory.
Requirements
Strong Python, SQL, and Bash skills
Experience with Google Tag Manager, pixels, conversion setup, and JavaScript
Experience with Google Ads, Meta Ads, Bing Ads
Engineering mindset and ability to work with production data systems
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
Everyday Tasks
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
Collaborate cross-functionally with Data, Marketing, Product, Engineering, and Billing teams
Growth Areas
You will develop across GCP infrastructure and DataOps, dbt, BigQuery, ClickHouse, Git, CI/CD, and software engineering practices. The role also includes exposure to internal monitoring platforms built with brokers, microservices, alerting, and observability tools, helping you grow system design skills through real production problems.
Key Success Factors
Proactivity: we need someone who notices issues, asks questions early, follows through, and takes ownership without waiting for detailed instructions.
High availability: on release days or during urgent tracking/payment setup, you should be ready to help in the evening when needed.
Delivery mindset: the goal is not only to learn, but to deliver reliable work across data engineering, marketing systems, payment flows, and internal platforms.
Location
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
Benefits
Discover the perks of being part of our vibrant team! We offer:
Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
Interview Process
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
Recruiter Screening (40 minutes)
Technical Interview (90 minutes)
Final Interview (60 minutes)
Life at Ruby Labs
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
#LI-Remote
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
Upload your resume now
- To unlock remote work opportunities and be discovered by global employers.
This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.
