Data Engineer

Radix is revolutionizing how the multifamily world makes decisions. From investment to divestment, and everything in between, Radix brings data transparency, market intelligence, and acquisition modeling into a seamless ecosystem that turns the industry's best insights into confident decisions.

What You Will Be Part Of

We’re looking for a highly capable, hands-on Data Engineer to help build the foundation for Radix’s next generation of data and AI products.

This is a strong individual contributor role for someone who wants to solve hard data problems, build reliable systems, and raise the bar for how data moves, models, and powers decision-making across the business. You will work closely with the Head of Data Engineering and cross-functional partners across Product, Engineering, Analytics, and AI Systems to improve the quality, reliability, and usability of Radix’s data platform.

You’ll be stepping into an environment with multi-product system complexity, a real legacy estate that we are actively retiring rather than living with, an in-flight migration between clouds, and real stakes. The right person will be able to diagnose where trust breaks down, improve pipeline reliability, strengthen data modeling practices, and build production-grade systems that support both analytics and AI-enabled product experiences.

Beyond traditional data engineering, this role will help shape the semantic layer that powers Radix’s AI products. That means designing data systems with LLM consumption in mind: clean metric definitions, reliable context surfaces, governed access patterns, and data infrastructure that agents can actually trust.

What You Will Achieve

• Design, build, and maintain scalable ETL/ELT pipelines that ingest data from files, databases, APIs, and third-party systems into trusted, analytics-ready data products.
• Own the reliability, performance, governance, and cost optimization of Radix's Databricks-based data platform, including orchestration, data quality, observability, and root cause analysis.
• Build and maintain robust dbt models, testing frameworks, documentation, schema contracts, and semantic-layer assets that create trusted, scalable data products.
• Define and enforce data contracts, metric definitions, and modeling standards that support consistent use across analytics, product, and AI applications.
• Partner across teams to design reliable, governed data interfaces and ensure downstream consumers can confidently use and trust the data they depend on.
• Help build the semantic layer and AI data infrastructure that powers conversational analytics, LLM-driven experiences, and agentic workflows.
• Design and maintain metadata, business definitions, evaluation frameworks, and governance guardrails that improve the trustworthiness of AI-generated insights.
• Build and maintain infrastructure-as-code, CI/CD pipelines, automated testing, and deployment practices that enable reliable and scalable data platform operations.
• Improve developer experience through better tooling, local development workflows, testing practices, environment consistency, and deployment confidence.
• Implement production-grade monitoring, lineage, anomaly detection, alerting, and operational processes that proactively identify and resolve data issues.
• Create documentation, runbooks, and operational playbooks that improve platform supportability, knowledge sharing, and long-term scalability.
• Operate as a highly collaborative technical leader who aligns stakeholders, documents decisions, and helps drive a reliable, scalable, and AI-ready data ecosystem.

• 5+ years of experience in Data Engineering, Analytics Engineering, or a related field, with hands-on responsibility for production data platforms and pipelines.
• Deep expertise with Databricks (or similar modern data platforms), dbt, SQL, Python, and scalable data modeling, including governance, testing, documentation, and semantic layers.
• Experience building and maintaining reliable data pipelines from relational databases, document stores, and object storage using modern table formats such as Delta Lake, Iceberg, and Parquet.
• Strong understanding of cloud-based data infrastructure, including AWS, Terraform, CI/CD, orchestration platforms (Dagster, Airflow, or similar), observability, monitoring, lineage, and data quality frameworks.
• Comfortable working in hybrid-cloud environments and making sound decisions around architecture, performance, cost optimization, reliability, and operational readiness.
• Able to trace and resolve data issues end-to-end, implement effective data contracts, and identify risks or anti-patterns in modeling, pipeline design, and system operations before they become problems.
• Comfortable navigating ambiguity, simplifying complex systems, and improving data quality and engineering practices without slowing delivery.
• Actively leverage AI tools and understand how modern development practices, automation, and agentic workflows can improve engineering productivity while maintaining trust, accuracy, and governance.
• Familiar with designing data platforms that support analytics, applications, and AI use cases through clean ontologies, predictable schemas, semantic layers, and trustworthy metrics.
• Hands-on builder who leads through technical credibility, strong communication, collaboration, and sound judgment rather than authority.
• High ownership mindset with a track record of delivering meaningful improvements in fast-moving, evolving environments.
• Excited by the opportunity to build reliable, understandable, and scalable data systems that create measurable value for humans, applications, and AI agents.

• Comprehensive Benefits
• Medical, dental and vision coverage designed to support your wellbeing.
• Uncapped Paid Time Off
• We trust you to take the time you need to recharge and do your best work.
• Pre-IPO Equity
• Meaningful ownership with the potential to grow right alongside Radix.
• Performance Bonus
• Rewarded for the impact you drive, not just tasks completed.
• Learn From the Best
• Work shoulder-to-shoulder with industry experts, innovative operators, and leaders shaping the future of multifamily.
• Build Category-Defining Products
• Join us during a high-velocity, post–Series A growth stage where your ideas influence the market, not just the roadmap.