Senior Python Engineer (Onsite) – Data Science HIRING Senior Python Engineer – Data Science (Onsite) Ledelsea is hiring a Senior Python Engineer for a data science engagement. This is an ONSITE role. Experience Required Bachelor’s + 3-4 years OR Master’s + 4-5 years of professional experience as a Python Engineer in a data-intensive or scientific computing environment. Location Requirement Candidates must be willing to relocate to the state and city of the client site. This is mandatory for this role. Work Authorization We accept CPT and OPT candidates. Ledelsea also sponsors H1B visas after a minimum of 1 year working with us. ⚠️ Please review the minimum requirements carefully before applying. Profiles that do not meet the experience threshold will not be considered and will be auto-rejected during initial screening. We appreciate your understanding. Roles & Responsibilities ✅ Design and develop complex Python applications using modular, object-oriented programming principles ✅ Build performance-optimized data and computational workloads using pandas and NumPy, including vectorization and memory-efficient patterns ✅ Develop scientific and financial models in Python, ensuring numerical accuracy, reproducibility, and maintainability ✅ Build and maintain CI/CD pipelines for Python applications, including automated testing, packaging, and deployment ✅ Integrate pytest into the development workflow and write thorough unit and integration tests ✅ Work with Databricks and Palantir Foundry to develop, productionize, and orchestrate Python-based data workflows ✅ Apply Spark-based development patterns, parallelization techniques, and distributed computing frameworks to scale workloads ✅ Profile and optimize Python code for performance bottlenecks in data-intensive workloads ✅ Participate in Agile ceremonies, contribute to sprint planning, and communicate technical decisions clearly to both technical and non-technical stakeholders ✅ Conduct code reviews and contribute to engineering standards and best practices Minimum Qualifications Bachelor’s + 3-4 years OR Master’s + 4-5 years of senior Python engineering experience Strong OOP, modular design, and performance optimization in Python Strong pandas and NumPy experience on data-intensive workloads Hands-on with pytest and CI/CD pipelines for Python applications ⚡ Familiarity with Databricks, Palantir, Spark, and distributed computing Available to work onsite as required by the engagement Lead Python Developer HIRING Lead Python Developer Ledelsea is hiring a Lead Python Developer to own the complete lifecycle of production-grade full-stack Python applications. Experience Required Bachelor’s + 3-4 years OR Master’s + 4-5 years (minimum) of professional Python development experience, with demonstrated team lead experience and full-lifecycle application ownership. Candidates with significantly more lead-level experience are preferred. Location Requirement Candidates must be willing to relocate to the state and city of the client site. This is mandatory for this role. Work Authorization We accept CPT and OPT candidates. Ledelsea also sponsors H1B visas after a minimum of 1 year working with us. ⚠️ Please review the minimum requirements carefully before applying. Profiles that do not meet the experience threshold will not be considered and will be auto-rejected during initial screening. We appreciate your understanding. Roles & Responsibilities ✅ Lead a team of Python developers delivering production-grade full-stack applications ✅ Own the complete application lifecycle including architecture, design, implementation, deployment, monitoring, and ongoing maintenance ✅ Define and enforce engineering standards, design patterns, and code quality across the team ✅ Build and maintain CI/CD pipelines using GitHub, GitHub Actions, Jenkins, Octopus, and GCP DevOps tooling ✅ Architect event-streaming solutions using Kafka including producers, consumers, schema management, and stream processing ✅ Design and implement containerized solutions using Docker and orchestration patterns ✅ Develop using Python ecosystems and libraries including NumPy, SciPy, pandas, Dask, spaCy, NLTK, scikit-learn, and PyTorch ✅ Architect data persistence strategies across SQL and NoSQL databases ✅ Design multi-process architectures that work around Python’s GIL and threading limitations ✅ Establish unit testing, debugging, and observability practices across the team ✅ Build and deploy cloud-native applications on GCP and Azure ✅ Mentor mid- and junior-level developers and conduct technical interviews ✅ Communicate effectively with client stakeholders, product managers, and cross-functional teams Minimum Qualifications Bachelor’s + 3-4 years OR Master’s + 4-5 years minimum, with lead-level depth Proven team leadership and full-application-lifecycle ownership Event streaming with Kafka, containerization with Docker CI/CD experience across GitHub Actions, Jenkins, Octopus, GCP DevOps Deep expertise in the Python scientific and ML library ecosystem ️ SQL and NoSQL database experience ☁️ Hands-on GCP and Azure cloud-native development Apply tot his job Apply To this Job
Location: , ,
CareerSprint: Apply Here