Data Infrastructure Engineer
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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 simliar 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. • NOTE - please apply if you feel you are qualified, but don't necessarily meet all of the above criteria!
Responsibilities
• 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).
Benefits
• Make a meaningful impact: Contribute to innovative solutions addressing one of the most pressing global challenges—climate change. • Collaborative environment: Work closely with a diverse team of scientists, foresters, and business leaders who share a common passion for sustainability. • Career growth: Be part of a pioneering company with opportunities for professional development and leadership. • Comprehensive Benefits: Participate in healthcare benefits and employee equity programs. • The expected salary range for this role is $120,000 - $150,000, with actual salary based on qualifications and experience. • Funga offers a competitive benefits package including equity in our fast-growing startup; a flexible time off policy; medical, dental, and vision benefits; and a wellness reimbursement program. Our team is in a dynamic growth phase. By joining us at this stage, you can shape our benefits and culture, and participate in our business success!