Data Engineer

About Radix
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 industrys best insights into confident decisions.

What You Will Be Part Of

Were looking for a highly capable hands-on Data Engineer to help build the foundation for Radixs 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 Radixs data platform.

Youll 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 Radixs 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 Radixs 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.

What Makes You a Strong Fit

• 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.

Why You Will Love Working Here

• 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 postSeries A growth stage where your ideas influence the market not just the roadmap.

Radix does not accept unsolicited resumes or candidate submissions from staffing or recruiting agencies. We do not engage external agencies for hiring and will not be responsible for any fees associated with unsolicited submissions.