Data Engineer

• Owning and scaling our data infrastructure by several orders of magnitude to handle > 100 petabyte-scale multi-omic datasets, including data pipelines, distributed data processing, and storage systems
• Building a unified feature store for all our ML models and biological data analysis workflows
• Efficiently storing and loading petabytes of data for ML bio data
• Processing and storing predictions and evaluation metrics for large-scale biological forecasting and analysis models
• Implementing data versioning and point-in-time correctness systems for evolving biological datasets
• Building observable, debuggable data pipelines that handle the complexity of multi-omic data sources

Expected Growth

In 1 month you will be responsible for analyzing current data infrastructure bottlenecks, implementing initial optimizations to existing pipelines, and beginning work on scaling our feature store infrastructure for ML models.

In 3 months you'll directly own and have scaled key components of our data processing systems, built prototype streaming pipelines for real-time data ingestion, and contributed to designing our unified feature store architecture.

In 6 months you'll have implemented high-performance petabyte-scale data infrastructure, established data versioning and point-in-time correctness systems, and delivered measurable improvements in data processing throughput and reliability., * Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives.

• Innovation & Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions.
• Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering.
• Growth Opportunities: Continuous learning and growth opportunities in a rapidly advancing technical field.

Do you have experience in Terraform?, We don't expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others

• 4+ years of experience building data infrastructure or data platforms with demonstrated ability to solve complex distributed systems problems independently
• Experience building infrastructure for large-scale data processing pipelines (both batch and streaming) using tools like Spark, Kafka, Apache Flink, Apache Beam, and with proprietary solutions like Nebius
• Experience designing and implementing large-scale data storage systems (feature stores, timeseries DBs) for ML use cases, with strong familiarity with relational databases, data warehouses, object storage, and expertise in DB schema design
• Experience with ML infrastructure and have worked at companies that use ML for core business functions
• Experience building data pipelines for external data sources that are observable, debuggable, and verifiably correct, having dealt with challenges like data versioning, point-in-time correctness, and evolving schemas
• Strong distributed systems and infrastructure skills - comfortable scaling and debugging Kubernetes services, writing Terraform, and working with orchestration tools like Flyte, Airflow, or Temporal
• Experience with cloud platforms (AWS, GCP, Azure) and container technologies
• Strong software engineering skills with ability to write easy-to-extend and well-tested code
• Excellent communication skills and experience collaborating within multidisciplinary teams
• Comfortable with ambiguity and a fast-moving environment, with a bias for action
• Learn and pick up new skills quickly
• Familiarity with bioinformatics or biological data handling
• Knowledge of data governance, compliance, and security standards relevant to healthcare or biotech

What we are doing is extremely hard. Prima Mente is for great people. We are team players who appreciate challenges, want to be hands-on, and thrive on curiosity by throwing away assumptions. We are focused on excellence at pace and huge personal growth. We are strong communicators who are highly disciplined and rigorous. Prima Mente operates with a flat organizational structure. We gain and share knowledge by contributing to multiple opportunities. Leadership is given to those who show initiative and consistently deliver excellence. We arrange our lives so we can work in person as much as possible.