Backend / Data Software Engineer

Our Company Tenchi is a Cyber Security company building innovative technology focused on Third-Party Cyber Risk Management for businesses. Founded by serial entrepreneurs and supported by solid institutional investors, we are driven to disrupt this fast-growing industry. Tenchi was created to tackle a real challenge: companies often face security risks because their third-parties don’t maintain the same level of cyber protection. This gap leaves even the largest organizations potentially vulnerable to incidents they can’t directly control. That’s exactly where we step in. Our TPCRM SaaS solution, Zanshin, is the only global TPCRM solution that offers both inside-out and outside-in visibility - combining external attack surface monitoring with automated, continuous, and non-intrusive assessments of cloud infrastructure (IaaS, PaaS, SaaS) and security controls. Our People and Culture At Tenchi, we build innovative technology to help companies secure their ecosystems with transparency and peace of mind. We are ambitious and purpose-driven. Our culture is rooted in intentionality, transparency, and action. We move fast, communicate openly, and invest in people who want to make an impact. As a 100% remote company with team members across Brazil, the US, Canada, Argentina, and Spain, we embrace flexibility while solving meaningful challenges together. 🎥 Want to know more about our DNA? Watch the video. https://www.youtube.com/watch?v=HK8J07hWv30&feature=youtu.be About the Role We are seeking a versatile Backend Software Engineer with a strong interest and capability in Data Engineering to join our team. In this role, you won't be boxed into a single domain. Instead, you will act as a bridge between core backend application development and robust data infrastructure. You are a great fit if you consider yourself a software engineer first, but you possess a deep appreciation for data pipelines, scalability, and distributed systems. You will design and build robust backend services while simultaneously shaping how our data is ingested, processed, and stored. Key Responsibilities Backend Development: Design, build, and maintain scalable, high-performance backend services and APIs using Python. Data Pipeline Engineering: Architect and optimize reliable ETL/ELT pipelines to process large volumes of data using PySpark. System Architecture: Containerize applications and data jobs for seamless deployment across environments. Data Modeling & Storage: Design efficient relational database schemas and optimize complex SQL queries for both transactional and analytical workloads. Collaboration: Work closely with product, analytics, and data science teams to understand data requirements and deliver production-ready software solutions. Python: Strong proficiency in writing clean, testable, and efficient production code (e.g., using frameworks like FastAPI, Flask, or standard library concurrency). SQL: Advanced knowledge of SQL (joins, window functions, query optimization) and experience working with relational databases (e.g., PostgreSQL, MySQL). PySpark & Big Data: Hands-on experience using PySpark for distributed data processing and large-scale data manipulation. Docker: Experience containerizing applications and managing local or production deployments using Docker/Docker Compose. Engineering Mindset: Strong grasp of software engineering best practices, including git version control, CI/CD, code reviews, and writing unit/integration tests. Desirable (Nice-to-Have): Experience with Apache Iceberg for managing large-scale analytic datasets and table formats. Familiarity with cloud storage solutions and optimization techniques, specifically AWS S3 / S3 Tables. Familiarity with data ingestion and orchestration tools (e.g., AWS Glue, AWS Step Functions).