Data Engineer with Ruby/Go

We are looking for a passionate developer who will work on building and maintaining complex data pipelines. You'll be responsible for creating efficient aggregation systems, implementing AI pipelines (computer vision, transcript processing, categorization, etc.), and maintaining necessary infrastructure. The ideal candidate should have strong experience with Go or Ruby, as these are our primary development languages.

About

Measure Studio is a US-based company. We help social media teams identify growth drivers, streamline reporting, and communicate success. Our platform takes the guesswork out of content strategy by turning messy data into clear, useful insights.

We're a small, focused 🇵🇱development team that takes pride in writing clean, maintainable code. We value autonomy, expertise, and a thoughtful approach to problem-solving.

Our offer

1. 💰 Competitive Salary: $6k - $9.5k (B2B), based on your skills and experience. We’re open to negotiation for exceptional candidates.
2. 🧠 Engineering Culture: Gitflow, code reviews, CI/CD - we take software craftsmanship seriously.
3. 🏝 Work from Anywhere: 100% remote setup.
4. 🔧 Ownership & Trust: No micromanagement. You own your work, from planning to production.
5. 🤝 Supportive Team: Friendly, collaborative environment where knowledge-sharing is a standard.
6. 🗓 Time Off: 26 paid vacation days + national holidays.
7. 🚀 Career Growth: Semi-annual reviews and personalized development goals.
8. 📚 Learning Days: One day per month dedicated to exploring new tech and personal growth, not necessarily related to daily work and projects.
9. 🎓 Training Budget: Support for conferences/training.
10. 🕒 Flexible Hours: Work when you’re most productive - we care about outcomes, not clock-ins

Technology

1. Ruby, Go
2. PostgreSQL, ElasticSearch/OpenSearch, Clickhouse (with Clickpipes)
3. AWS services, such as S3, RDS, Lambda, ECS/ECR

A perfect candidate should have

1. Good knowledge of Ruby or Go (ideally both)
2. Very good knowledge of database-related issues. Ability to pick the best and most optimal solutions for specific problems. Is not afraid to work in plain SQL
3. Experience with OLAP databases,
4. The ability to work a problem from description to solution, bringing own expertise and excellence to the table,
5. Resilience to a fast-paced, constantly evolving environment,
6. Fluent in spoken and written English and Polish.

Bonus points for

1. Experience with AWS cloud (or Azure/Google Cloud, etc.), especially with the following services or equivalents: ECR, ECS, Lambda, API Gateway, S3
2. DevOps skills
3. Understanding of event-driven architecture concepts
4. Experience in working with LLMs and other AI models