Data Engineer

Link Logistics Real Estate (Link) is a leading operator of warehouses and business parks specializing in last-mile logistics real estate. Established by Blackstone in 2019 the company connects consumption technology and the supply chain across its portfolio which spans half a billion square feet. We leverage our scale proprietary data and insights and foundational focus on sustainability to drive success for our customers businesses and deliver value for our stakeholders. We put our people customers and communities first and find ways to make a conscious positive impact where we live and work. Every day we work to reinvent and lead our industry forward by thinking bigger and challenging the status quo.

Were hiring a hybrid ML/Backend Engineer to own the intelligence layer of Links Analytics Engine. This is the connective tissue role: youll design the pipelines that bring disparate real estate data to life build the knowledge graphs and retrieval systems that make that data queryable by LLMs and architect the backend services that surface insights to investment teams in real time.

You wont be handed a spec. Youll talk to investment analysts and asset managers identify where analytical leverage is lost today and build systems that close that gap often combining classical ML graph-based reasoning and LLM-native workflows in the same solution.

RESPONSIBILITIES:

• Knowledge Graph & Retrieval Design graph-based data structures encoding relationships across markets assets tenants and transactions. Build retrieval pipelines (RAG hybrid search structured queries) that give LLMs accurate contextually rich grounding.

• LLM Workflow Automation Develop rule-based and agentic LLM workflows that automate investment analytical tasks. Own prompt engineering eval frameworks and production reliability.

• Data Pipelines Build ETL/ELT workflows that ingest normalize and enrich large-scale internal and third-party datasets (property records leasing data macro signals alt data). Every dataset should have a clear owner update cadence and quality SLA.

• Data Trust & Provenance Build systems that make data trustworthy by design: lineage tracking from source to insight confidence scoring on derived outputs and clear attribution so analysts always know where a number came from and how fresh it is. Treat a bad comp or stale signal as a production incident.

• Backend API Layer Develop and maintain APIs and services that expose ML outputs and structured data to front-end applications. Prioritize low-latency reliability and clean contracts with the application team.

• Collaboration Work directly with investment and asset management teams to understand analytical needs and iterate quickly. Treat analyst trust as a first-class product requirement.

QUALIFICATIONS:

• 4 years in ML engineering backend engineering or a role spanning both

• Hands-on experience shipping LLM-powered applications in production RAG pipelines prompt engineering eval frameworks

• Strong Python skills; comfortable owning backend services and APIs end-to-end

• Experience with knowledge graphs or graph databases (Neo4j or similar)

• Proficiency building data pipelines at scale (Spark Databricks or equivalent)

• Deep sensitivity to data provenance a track record of building systems that create analyst trust not just claim it

$140000 - $155000 represents the presently anticipated base compensation pay range for this position at Link. Actual pay may vary based on various factors including but not limited to location and experience.

Link provides a variety of benefits to employees including health insurance coverage retirement savings plan paid holidays paid time off.

The direct compensation and benefits described above are subject to the terms and conditions of any governing plans policies practices agreements or other materials or documents as in effect from time to time including but not limited to terms and conditions regarding eligibility.

EEO Statement

The Company is an equal opportunity accordance with applicable law we prohibit discrimination against any applicant employee or other covered person based on any legally recognized basis including but not limited to: veteran status uniformed servicemember status race color caste immigration status religion religious creed (including religious dress and grooming practices) sex gender gender expression gender identity marital status sexual orientation pregnancy (including childbirth lactation or related medical conditions) age national origin or ancestry citizenship physical or mental disability genetic information (including testing and characteristics) protected leave status domestic violence victim status or any other consideration protected by federal state or local law. We are committed to providing reasonable accommodations if you need an accommodation to complete the application process please email .