Data Engineer
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Requirements
• 3+ years of experience as a Data Engineer, Solutions Architect, or similar experience, with strong experience with backend systems. • Advanced SQL proficiency. You know how to structure and utilize complex datasets for both performance and clarity. • Demonstrated ability to independently navigate cloud environments (AWS/GCP) and to deploy services and manage resources (S3, Lambda, ECS) while maintaining alignment with core infrastructure standards. • You write clean Python for data manipulation, automation, and internal tooling. • You treat internal teams as your customers. You are driven to build data-rich workflows and applications that solve real problems. You aren't a designer, but you take pride in building functional, reliable interfaces and data products that meet teams where they are and accelerate their work with clear insights. • Familiarity with geospatial data storage, and management tools and concepts (e.g. PostGIS, GDAL) is a major plus. • Familiarity with genomic sequence or ecological data management and modeling is a plus. • Pragmatic: You prefer simple, mature, and composable tools over heavy, managed platforms. 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
• Use SQL and Python to build the transformation layers (dbt) that turn raw datasets into clean, versioned, and performant models ready for analysis. Your work here will supercharge our modeling efforts. • Lead the implementation of internal data apps (Streamlit or similar). You'll build the windows into Funga's data, ensuring Growth and Land teams have high-visibility into carbon and biodiversity metrics, accelerating our sales, operations, and growth. • Geospatial Workflows: Architect workflows to manage the flow of complex vector and raster data, from QA/QC of messy field-collected boundary files to integrating high-resolution drone imagery to supporting mapping solutions for field teams. • Automated QA/QC: Engineer the automated validation pipelines that catch inconsistencies in genomic, geospatial, and tabular data before they reach downstream systems, with an eye toward continuous, measurable improvement. • Build and maintain containerized connectors (scripts, APIs, and services) that pull data from third-party applications like Survey123, ArcGIS, and Asana into our core infrastructure. • Act as a solutions architect for internal teams, ensuring that data is synced correctly across our ecosystem and that the data they see is accurate, timely and useful. • Build, deploy, and monitor your pipelines and apps using Docker and cloud-native services (AWS/GCP) • Serve as a peer-partner to the Data Infrastructure Engineer, collaborating on core database architecture and schema evolution to ensure seamless downstream integration.
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 $90,000 - $120,000, 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!