Data Software Engineer

What your day could consist of:

- Architect and Build Pipelines by designing, developing, and maintaining high-throughput data pipelines that seamlessly transform data across our ecosystem

- Execute Data Modeling and Schema Design , utilizing DDL and DML operations to optimize data structures for both performance and long-term scalability

- Champion Engineering Excellence by implementing automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform) to ensure system health and reliability .

- Collaborate Cross-Functionally with Data Science and AI teams to engineer feature stores and automated MLOps pipelines, moving cutting-edge research into live production environments

- Drive System Monitoring and health checks, ensuring our containerized and orchestrated environments (Kubernetes, Docker, Airflow) run at peak efficiency .

- Act as a Technical Advisor to stakeholders, translating complex data architectures into clear, non-technical conversations that guide business decisions
Technical environment:

- Databases: MySQL, Amazon Aurora, Amazon RDS, PostgreSQL

- ata Storage and Analytics: AWS S3, Apache Iceberg, Snowflake, Apache Druid, Looker

- Data Processing and Transformation: Apache Spark, DBT

- Languages: Python (primary)

- Infrastructure as Code: Terraform

- Containerization and Orchestration: Kubernetes, Docker, Airflow
The Ideal Candidate Will Bring:

- 4+ years of professional software engineering experience , with a proven track record of building and maintaining production-grade data systems .

- Deep Data Architecture expertise , with the ability to design modern data stack components and schemas that balance immediate performance with future growth .

- Proficiency in Infrastructure as Code , specifically using Terraform to manage and deploy your own infrastructure .

- A high level of software rigor , including a strong background in automated testing, CI/CD, and general software engineering best practices

- Expert-level SQL skills (particularly MySQL), with a focus on optimizing complex queries for maximum performance .

- Experience in a modern technical environment , ideally having worked with Python, AWS (S3, Aurora, RDS), Snowflake, Apache Spark, and DBT

- Exceptional communication skills , with the talent to distill complex technical concepts into clear, actionable insights for both technical and non-technical peers