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