Integration Engineer

📋 Description Lead hands-on deployment in large enterprise environments. Build robust connectors across SQL/NoSQL/APIs. Create batch, incremental, real-time pipelines for data ingestion. Deploy LLM/agentic systems; manage prompts and testing. Establish automated validation and cleaning for data quality. Collaborate with customers to troubleshoot hurdles and drive adoption. 🎯 Requirements Implementation Experience: Deliver enterprise software implementations at large vendors or top consultancies. Technical Proficiency: Proficient in Python and SQL. AI/LLM Experience: Deploy LLM/agentic systems; test prompts. Data Engineering: 4+ years in data engineering; experience with Airflow/Prefect/Argo and S3/HDFS. Infrastructure Knowledge: Incremental/real-time processing (Delta Lake, Kafka, Spark Streaming). Scrappy Mindset: Hands-on across projects with a "get it done" mindset. Education: CS degree helpful; proven scrappy implementations valued. Bonus: Kubernetes; ML teams; OSS contributions; Automotive/Manufacturing experience. 🎁 Benefits 0-50% international travel Up to 100% work from home Opportunities to work on cutting-edge AI for manufacturing Collaborative Internal Efficiency team