Senior Data Engineer

As a Senior Data Engineer, you will be helping us design and build a flexible and scalable system that will allow our business to move fast and innovate. You will be expected to show ownership and responsibility for the code you write, but it doesn't stop there. At Beamup, you are encouraged to think big and help out in other areas as well.

• →Designing and writing code that is critical for business growth
• →Mastering scalability and enterprise-grade SAAS product implementation
• →Sense of ownership - leading design for new products and initiatives as well as integrating with currently implemented best-practices
• →Building and owning production-grade ETL/ELT pipelines that power analytics, ML training, and real-time AI systems
• →Designing data architectures that support agentic systems, including:
  
  • →Embeddings and vector-based retrieval
  • →RAG pipelines
  • →Feedback loops and continuous improvement
• →Review your peer's design and code
• →Work closely with product managers, peer engineers, and business stakeholders

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• 5+ years of hands-on experience as Software Engineer with Strong Python skills (TypeScript / Node.js is a plus)
• Hands on experience in managing major clouds vendors’ infrastructure (AWS, GCP, Azure)
• Proficiency with SQL, modeling and working with relational and non relational databases, and pushing  them past their limits
• Hands on experience in designing and implementing ML-aware data pipelines (Spark, Airflow), distributed systems and restful APIs
• Experience or strong interest in LLMs and agentic systems, including:
• Agentic workflows (LangChain, LangGraph)
• RAG patterns, Vector databases and embeddings
• Evaluating and monitoring AI-driven systems (Langfuse LangSmith)
• Familiarity with ML & AI tooling, such as:
• Feature stores, training pipelines, or model-serving data flows
• ML platforms (MLflow, SageMaker, Vertex, etc.)
• Experience with CI/CD, Docker, and Kubernetes
• The ability to lead new features from design to implementation, taking into consideration topics such as performance, scalability, and impact on the greater system
• Comfortable operating in a fast-moving startup with high ownership and low process
• Enjoy communicating and collaborating, sharing your ideas and being open to honest feedback