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 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.

**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