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Harnessing forest fungal networks to address the biodiversity and climate crises.
Data Infrastructure Engineer
Location
United States
Posted
124 days ago
Salary
$120K - $150K / year
Seniority
Senior
Job Description
Data Infrastructure Engineer
Funga
• Own the Stack: Architect and maintain our central storage (PostgreSQL/PostGIS, SQLite) and cloud environment (AWS/GCP), leveraging ECS, Lambda, and S3. • Modern DevOps: Standardize environments using Docker, CI/CD pipelines, and Infrastructure as Code to automate the testing and deployment of data services. • Scale for Performance: Optimize data models and database performance management for extensibility as our genomic and geospatial inputs scale. • Build Lean Ingest: Design and automate scalable ELT/ETL pipelines for genomic, geospatial, and tabular data from sources like Survey123, ArcGIS, and Asana. • QA/QC at Scale: Build automated validation pipelines to ensure data integrity and version control from the moment it hits our system. • Internal Enablement: Support scientists and operational teams by designing the data models that power internal modeling workflows, dashboards, and reporting. • System Connectivity: Develop lightweight APIs and connectors to sync data between our core infrastructure and downstream applications (e.g. Asana, ArcGIS, and internal dashboards).
Job Requirements
- 4+ years of experience in Data or Backend Engineering, with a track record of building production data systems from the ground up.
- Database expertise: Deep SQL proficiency. You understand indexing, partitioning, and optimizing Postgres for high performance.
- Cloud Infrastructure: Significant experience building, managing, and optimizing data services within AWS or GCP (e.g. ECS, Lambda, RDS) with a focus on cost-effective, maintainable architecture.
- Modern DevOps & Python: Proficiency in production-grade Python and modern DevOps practices, including containerization (Docker), CI/CD pipelines, and infrastructure monitoring.
- Data fluency: Experience handling large-scale Parquet, Avro, binary, or similar data types. Familiarity with geospatial data types and tools (PostGIS, GDAL) is a plus.
- Product mindset: You treat internal teams as your customers. You are driven to build solutions that serve and accelerate internal teams' work.
- Pragmatic: You prefer simple, mature, composable tools over heavy, managed platforms, and you have a bias for creating value now versus perfection later.
Benefits
- Comprehensive Benefits: Participate in healthcare benefits and employee equity programs.
- Flexible time off policy
- Wellness reimbursement program
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