Senior C# Backend Engineer — Spark, Aws, Scalable Systems

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Senior Software Engineer (Web) - REMOTE Senior Software Engineer, Web (South America) Location: REMOTE - Argentina Duration: Long Term Responsibilities Include: Implement designs to create re‑usable componentized websites using React Break down visual designs into tasks and then working on tasks to create delightful user experiences Make and handle HTTP requests to API’s both on a Node service as well as via web client Make trade‑offs of server vs client for transforming and orchestrating data calls Identify and raise blockers when known, seek out assistance when needed Communicate effectively and proactively with stakeholders about sprint deliverables and work Write clean, maintainable, and testable code without forsaking design quality Attending daily standup and other meetings as needed Other related duties as assigned Required Qualifications: Demonstrated ability to work collaboratively in a fast‑paced environment Self‑starter who is capable of pushing projects to completion Expertise with building websites utilizing SSR with react Able to analyze and debug problems 5+ years of industry experience designing, building, and maintaining websites 3+ years of industry experience with react Experience with Node Understanding of React life cycle Expertise at ensuring your code is verifiable including designing and writing unit and integration tests Preferred Qualifications: Node service layer such as Remix.run or Next.js experience Experience with React Testing Library Mantine, MaterialUi, or other component library experience Familiarity with React, including hooks, providers, and context Familiarity with Rest and Graphql Familiarity with building websites deployed on Vercel Familiarity with Google Analytics Familiarity with load testing Familiarity with analyzing trade‑offs of different implementations Familiarity with ADA. Work from Home Lead Data Software Engineer AgileEngine is a top‑ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest‑growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia. If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed :) What you will do Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals; Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment; Collect, process, and prepare large datasets for analysis, feature engineering, and model training; Implement data quality checks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models; Optimize data storage, retrieval, and processing performance for ML workloads; Develop and maintain ETL (Extract, Transform, Load) processes and workflows; Manage data versioning, storage, and access control for ML datasets; Collaborate with DevOps and IT teams to ensure smooth deployment and scaling of ML models in production environments; Stay up‑to‑date with emerging technologies, tools, and best practices in data engineering and ML infrastructure. Must haves Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field; Proven experience as a Data Engineer, preferably in a role supporting Data Scientists; Strong proficiency in programming languages such as Python, Java, or Scala; Proficiency with data storage and processing technologies, including SQL databases, NoSQL databases, and distributed computing frameworks (e.g., Hadoop, Spark); Experience with data warehousing solutions and data integration tools; Experience with data pipeline and workflow management tools: AWS glue, Airflow, etc; Knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and ML model deployment; Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes); Excellent problem‑solving skills and a collaborative mindset; Excellent oral and written communication skills with a keen sense of customer service. Nice to haves Experience in ad/marketing environment Experience working with Data Lakes Experience with Scala Experience with Glue/EMR/Redshift/Airflow Experience with Terraform. The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation We match your ever‑growing skills, talent, and contributions with competitive USD‑based compensation and budgets for education, fitness, and team activities. A selection of exciting projects Join projects with modern solutions development and top‑tier clients that include Fortune 500 enterprises and leading product brands. Flextime Tailor your schedule for an optimal work‑life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. #J-18808-Ljbffr