Data Science

remote

We are looking for a Senior Data Platform Engineer to join our team and take part in the core development of a high-performance computational data platform for our US-based client. This role will suit an experienced data engineer or former DBA/DB developer with strong algorithmic thinking, deep knowledge of database internals, and a passion for building scalable systems for research-driven environments.

What you’ll do:

Manage release cycles for the platform’s next-generation version
Implement and maintain robust CI/CD pipelines (Docker, Kubernetes, GitHub Actions, etc.)
Extend the data framework to support multiple database engines (PostgreSQL, MySQL, etc.)
Optimize database interactions and query execution layers
Improve core computational database functionality using Python and SQL
Package production-ready releases and contribute to infrastructure automation
Collaborate closely with backend and data teams to propose and implement innovative solutions
Support integration of complex datasets, including development of efficient data translation mechanisms
Contribute to documentation and knowledge sharing (internal docs and potential textbook chapters)

What we’re looking for:

10+ years of experience as a Data Engineer, DB Developer, or DBA
Strong theoretical background in Computer Science or Applied Mathematics
Proficiency in Python and SQL
Deep understanding of relational databases, query optimization, and recursive algorithms
Hands-on experience with PostgreSQL, MySQL, Oracle, or similar systems
Experience building or optimizing large-scale ETL pipelines and data frameworks
Familiarity with CI/CD, Docker/Kubernetes, and infrastructure-as-code (Terraform, etc.)
Solid experience working with cloud services
Upper-Intermediate English or higher — you'll work directly with an international client team

Nice to have:

Familiarity with tools like Apache Airflow, dbt, Apache Beam, or Spark
Certification in GCP, AWS, or Databricks
Contributions to open-source or academic data processing projects
Experience with data modeling and versioned data warehouse patterns (e.g., slowly changing dimensions, snapshots)
Understanding of scientific data workflows or research-driven domains

Why you’ll enjoy working with us:

Join a mission-driven team building tools that support world-class scientific research
Work with modern data platforms, petabyte-scale systems, and high-throughput architectures
Collaborate with engineers, data scientists, and researchers on meaningful challenges
Flexible schedule and remote-friendly environment
Competitive compensation and transparent, feedback-driven culture

If you are looking for new opportunities — Let's Talk!