What You’ll Get to Do 

• Contribute to end-to-end system design and participate in technical and architectural decisions. 

• Build, maintain, and optimize Python-based services, engineering tools, and data pipelines. 

• Work with data across the full lifecycle, including data extraction, transformation and delivery. 

• Develop and maintain workflow orchestration using Apache Airflow including pipeline testing, monitoring, and reliability. 

• Work with Snowflake as a data platform and dbt. 

• Build and maintain CI/CD pipelines, deployment processes, and environment automation. 

• Containerize and deploy applications using Docker and Kubernetes. 

• Actively adopt and contribute to AI-assisted engineering and testing practices, using AI to improve development workflows, automation, and engineering productivity. 

• Follow and contribute to engineering standards for code quality, testing, documentation, and development best practices. 

• Collaborate with engineers, data teams, and stakeholders to design and deliver reliable, scalable solutions. 

What You’ll Bring 

• Bachelor’s degree + 3 years of related experience, or Master’s degree + 2 years of related experience. 

• Hands-on experience with Python, including OOP, error handling, REST API integrations, and clean code practices. 

• Good understanding of SQL and data engineering fundamentals. 

• Familiarity with AI tools and technologies, with an interest in using AI to improve engineering workflows, automate repetitive tasks, and increase developer productivity. 

• Solid understanding of Git and modern software development workflows. 

• Experience building or maintaining CI/CD pipelines, preferably using GitLab CI. 

• Good engineering fundamentals, including system design concepts, technical documentation, and architecture diagrams. 

• Strong communication and collaboration skills, including participating in code reviews and working effectively with engineers and stakeholders. 

Nice to Have 

• Working knowledge of AWS services, such as IAM, S3, Glue, Athena, and MWAA/Airflow. 

• Experience with cloud data platforms such as Snowflake or Redshift. 

• Familiarity with observability and monitoring tools such as Prometheus, Splunk, or OpenTelemetry. 

• Familiarity with Docker and Kubernetes. 

• Experience with Terraform for infrastructure as code (IaC). 

• Experience in developer productivity engineering, including improving engineering tooling and workflows and supporting the full software development lifecycle (SDLC).