Python Engineer

Job_Description":" AboutPropel At Propel, we dont justbuild software \we build future-ready, human-centered digital platforms thatdrive business transformation. We are a design-led technology firm committed tosolving complex problems with elegant, scalable solutions. Join a workplacewhere your ideas matter, your expertise is valued, and your growth is championed. Aboutthe Role As a Python Data Engineer onour team, you will be responsible for designing, building, and maintainingscalable data pipelines, data processing systems, and backend services. Youwill work closely with engineering, analytics, and product teams to deliverreliable, high-quality data solutions that support reporting, automation, anddecision-making. KeyResponsibilities Design, develop, and maintain robust data pipelines using Python. Build and maintain backend services and background jobs using modern Python frameworks such as FastAPI. Perform data processing, transformation, and reporting using libraries like Pandas, Polars, DuckDB, and openpyxl. Design and implement scalable data architectures including data lakes, medallion architecture, and star schemas. Develop, test, and deploy data workflows using orchestration tools such as Airflow. Collaborate with teams to implement CI/CD pipelines using GitHub Actions. Develop and deploy solutions on Microsoft Azure using services such as Container Apps, Azure Storage, Service Bus, and SignalR. Implement Infrastructure as Code (IaC) using Bicep; collaborate with teams using Terraform or AWS CDK where applicable. Follow spec-driven development practices and leverage AI-assisted development tools. Write clean, maintainable, and well-documented code following best practices. Participate in code reviews, testing, and production support activities. Collaborate with cross-functional teams to ensure consistency and reliability of data solutions. WhatWe\re Looking For Bachelor\degree in computer science, engineering, or a related field. Strong Python Experience (web services, background jobs; we use FastAPI) Data processing and reporting using Python (Pandas, Polars, openpyxl andDuckDB are used; Airflow, dbt, streamlit experience is nice to have) Experience with data pipeline design (data lake, medallion architecture,star schema) Experience with CI/CD (GitHub Actions is used) Azure developmentexperience (Container Apps, Azure Storage, Service Bus, SignalR) Experience with IaC automation (Bicep@Azure is used; AWS CDK, Terraformexperience is transferrable) Spec-Driven Development with AI (GitHub Copilot and Claude Code are used) Preferred Distributed Processing, async workflows, enterprise messaging patterns Snowflake (stored procedures, streams, tasks, pipes, time travel) . Experience with .NET web development (part of the legacy frontend is implemented in .NET Core) Web development and angular or nextjs WhatWe Offer APurpose-Driven Mission We believe in usingtechnology as a force for good\designing scalable, data-driven systems thatenable smarter decisions and meaningful impact across industries. Empowered& Inclusive Culture Our open and collaborativeculture ensures your ideas matter. You\ll have the autonomy to design solutionswhile working closely with highly skilled teams. Learning& Growth at the Core From mentorship andcertifications to hands-on exposure to modern data platforms, we invest deeplyin your professional growth. Innovationwith Impact You\ll work on modern dataplatforms and cloud-native architectures, helping clients unlock insightsthrough automation, analytics, and intelligent systems. Well-beingMatters We prioritize work-lifeharmony, psychological safety, and policies that support your mental, physical,and professional well-being. Others: Common application/ web security and OWASP vulnerabilities Encryption algorithms to protect sensitive information PII, PCI, HIPPA, and GDPR compliance and how to implement Finding the vulnerabilities of the third-party components/ libraries Understanding security breaches of data-in-transit and data-at-rest andits implementation ","