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Backend Engineer and Integration Specialist at Pearl. Backend Engineer & Integration Specialist. 📍 Remote | 🕓 Full-time | 🌱 Early-Stage Proptech | 🚀 Greenfield Opportunity. 💼 . Work Arrangement:.  Remote (must be able to work EST hours). 💰 . Salary:.  Competitive base salary in USD. 🏢 . Industry:.  PropTech / B2B SaaS / Real Estate Technology. 🕒 . Work Schedule:.  40 hours per week. 🤝 About Pearl Talent. At Pearl Talent, we work with the top 1% of candidates from around the world and connect them with the best startups in the US and EU. Our clients have raised over $5B and are backed by OpenAI, a16z, and Founders Fund. We place ambitious candidates with founders who value long-term growth, impact, and real ownership.. Why Work with Us?. We’re not just another recruiting firm—we offer retention bonuses (3, 6, 9, 12 months), annual retreats, and deeply aligned opportunities with world-class founders. Many of our hires have even been flown out to work in the US and EU and promoted quickly.. 🏢 . About the company. Our partner company is a pioneering . Proptech startup.  on a mission to transform how properties are managed and experienced through innovative, AI-powered solutions. As they build their platform from the ground up, we’re looking for a . Backend Engineer & Integration Specialist.  to help us design a scalable, intelligent data infrastructure that powers everything from real-time product discovery to generative AI experiences.. This is a . foundational hire. —you’ll have true ownership in shaping our backend systems and integration pipelines, working directly with technical leadership and cross-functional teams.. 🌟 . What You’ll Do. . 🏗️ . Build from Scratch. . .  Set up cloud infrastructure (VPCs, IAM, security, IaC via Terraform/Pulumi).. .  Define backend architecture, networking standards, and cost-optimized cloud strategies.. . 🔌 . Integrate at Scale. . .  Ingest large data streams (REST, XML, EDI APIs) with robust, schema-flexible pipelines.. .  Build resilient and idempotent data loaders that evolve with external data sources.. . 🔄 . Own the ETL/ELT Process. . .  Deploy orchestration tools like . Airflow. , . Dagster. , or . Prefect. .. .  Build and manage . dbt.  pipelines, automated testing, CI/CD workflows, and versioned data repos.. . 🔍 . Power Search & AI. . .  Manage Elasticsearch/OpenSearch clusters and vector databases (Pinecone, Weaviate).. .  Enable AI with embeddings, Retrieval-Augmented Generation (RAG), and LLM frameworks like LangChain or LlamaIndex.. . ✅ . You Might Be a Fit If You Have:. . .  5+ years designing and scaling ETL/ELT pipelines.. .  Experience building data stacks from scratch or overhauling complex legacy systems.. .  Strong in . Python.  and . SQL.  (bonus: Java, Scala, or Go).. .  Hands-on with:. . .  . Orchestration. : Airflow, Dagster, or Prefect. .  . Streaming. : Kafka or Kinesis. .  . Warehousing. : Snowflake or BigQuery. .  . IaC & Cloud. : AWS, GCP, or Azure. . .  Experience managing . search engines.  (Elasticsearch) and . vector stores.  (Pinecone, Weaviate).. .  Knowledge of ML/AI fundamentals—embeddings, feature stores, model ops.. .  Passion for clean code, observability, data quality, and security.. . 🎯 . Bonus Points For:. . .  Real-time stream processing (Flink, Apache Beam, Spark).. .  Prompt engineering, LLM fine-tuning, or experience with RAG architectures.. .  Integration of external APIs and third-party data pipelines.. .  Experience in e-commerce or B2B procurement tech.. . 🛠 . Tech Snapshot. . Python • SQL • Airflow • dbt • Kafka • Snowflake/BigQuery • OpenSearch • Pinecone • OpenAI • LangChain • GitHub Actions • End-to-End API Integration. Company Location: Mexico.