Radix - Data Engineer

Data Engineer is needed in Scottsdale, United States.

Client: Radix

Location: Scottsdale, AZ

Contract: undefined

Job Description

Radix is revolutionizing how the multifamily world makes decisions. We are 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 focused on solving hard data problems, building reliable systems, and improving data movement, modeling, and decision-making across the business.

You will work closely with the Head of Data Engineering and cross-functional partners to enhance the quality, reliability, and usability of Radix’s data platform, navigating multi-product system complexity and the migration between clouds. Additionally, this role involves shaping the semantic layer that powers Radix’s AI products.

Requirements

• 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.
• 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.
• 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.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines for data ingestion into trusted, analytics-ready data products.
• Own the reliability, performance, governance, and cost optimization of Radix’s Databricks-based data platform.
• Build and maintain robust dbt models, testing frameworks, and documentation.
• Define and enforce data contracts, metric definitions, and modeling standards.
• Partner across teams to design reliable, governed data interfaces.
• Help build the semantic layer and AI data infrastructure for conversational analytics.
• Design and maintain metadata, business definitions, and governance guardrails.
• Build and maintain infrastructure-as-code, CI/CD pipelines, and automated testing.
• Improve developer experience through better tooling and local workflows.
• Implement monitoring, lineage, anomaly detection, and operational processes.
• Create documentation, runbooks, and operational playbooks.
• Operate as a highly collaborative technical leader while aligning stakeholders.

Additional Information

Why You Will Love Working Here: Radix offers comprehensive benefits including medical, dental, and vision coverage, uncapped paid time off, pre-IPO equity, performance bonuses, and opportunities to learn from industry experts and influence market-leading products.

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.