Backend Engineer and Integration Specialist

**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**: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 companyOur 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.**Requirements**:**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**Benefits**:**Why Join Us?**:- Make Your Mark - Be part of our core tech team; every line of code shapes the future of the platform.- Greenfield Innovation - Build an AI-first backend stack without legacy limitations.- Grow With Us - Early-stage startup energy with opportunities to lead and grow fast.**What You’ll Get**:- Annual learning budget for books, courses, and conferences- Mentorship from startup veterans (ex-Looker, GitHub, Mulesoft)- ✨ Influence a growing brand in a high-impact role- Inspiring workspaces in Berlin, New York, and London- ‍ Flat hierarchy and founder access- Equipment of your choice and remote support**Hiring Process**:- Application- Screening- Top-grading Interview- Skills Assessment- Client Interview- Offer- Onboarding