Senior Data and Analytics Engineer
Remote
Full Time
#Engineering
#AWS
#Python
#Postgres
#Java
#Go
#SQL
#AWS Glue
#AWS Lambda
#AWS RedShift
Terrascope is dedicated to keeping our planet habitable by providing the most accessible carbon measurement and decarbonization platform for the land, nature, and net-zero economy sectors. Since our launch in 2022, we have combined deep industry expertise with advanced climate science and machine learning to help organizations manage emissions across their global supply chains. Our platform supports critical reporting standards like SBTi FLAG and the GHG Protocol, serving a diverse range of industries from agriculture and manufacturing to luxury retail. As a partner of the Monetary Authority of Singapore’s ESG Impact Hub and a signatory of The Climate Pledge, we are committed to achieving net zero by 2040. We are currently looking for a Senior Data and Analytics Engineer to join our remote team and help shape the future of our climate-tech SaaS products.
Key outcomes
- Design and implement scalable data architectures for both single-tenant and multi-tenant SaaS environments.
- Build robust data platforms that facilitate seamless data onboarding, management, and integration.
- Develop high-performance data pipelines using the AWS Data Engineering stack, including Glue, Lambda, and Step Functions.
- Optimize Postgres databases through advanced indexing, partitioning, and query performance tuning.
- Create materialized views and analytics-ready datasets to support high-volume, headless BI requirements.
- Write clean, efficient code in Python, Java, or Go to support complex migration workflows and custom tooling.
- Collaborate closely with product, engineering, and data science teams to align platform capabilities with machine learning and analytics needs.
- Manage AWS infrastructure and automate workflows using the GitHub DevOps stack.
Requirements
- Bachelor’s degree in a STEM field.
- At least 5 to 8 years of professional experience building data platforms for SaaS applications and managing large-scale data processing workflows.
- Deep technical proficiency in Python for ETL and automation, as well as Java or Go for building scalable tools.
- Advanced SQL skills and extensive experience with Postgres architecture, including ORM frameworks and schema design.
- Proven expertise in AWS services, specifically RDS, S3, DocumentDB, Athena, and Redshift.
- Experience with database migration projects, including mapping between MongoDB and relational schemas.
- Strong understanding of data security and monitoring tools like AWS IAM, CloudWatch, and CloudTrail.
- A track record of success in startup environments and experience working effectively within remote teams.
- Excellent problem-solving skills with a focus on performance optimization and data integrity.
Preferred qualifications
- Familiarity with the Rust programming language.
- An entrepreneurial mindset with a comfort level for managing risk and ambiguity in a fast-paced environment.
Compensation
This is a full-time, remote position. We offer the flexibility of remote work as part of our commitment to supporting a diverse and global team.
How to apply
If you are passionate about leveraging data engineering to drive climate action, we invite you to apply to join our team. Please submit your application through our career portal, and feel free to reach out to our recruitment team at [email protected] if you have any questions regarding our inclusive and AI-assisted hiring process.
