Backend Integration Engineer

Backend Engineer & Integration Specialist

🕒 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.

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

• Set up cloud infrastructure (VPCs, IAM, security, IaC via Terraform/Pulumi).
• Define backend architecture, networking standards, and cost-optimized cloud strategies.

• 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.

• Deploy orchestration tools like Airflow, Dagster, or Prefect.
• Build and manage dbt pipelines, automated testing, CI/CD workflows, and versioned data repos.

• 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

• SQL • Airflow
• dbt • Kafka
• Snowflake/BigQuery
• OpenSearch
• Pinecone • OpenAI
• LangChain • GitHub Actions
• End-to-End API Integration

Benefits

• 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

1. Application
2. Screening
3. Top-grading Interview
4. Skills Assessment
5. Client Interview
6. Offer
7. Onboarding