Data Engineer

Job Description

About Radix

Radix is a fast growing SaaS company serving the multifamily industry with actionable data and insights. Our values-Curiosity, Resilience, Impact, Courage, and Responsibility-are at the heart of how we operate and grow. At Radix, our data is our super power: from benchmarking rents to powering predictive analytics, everything we build starts with clean, reliable, and accessible data. We believe exceptional people build exceptional companies, and our Data Engineer will be a cornerstone in scaling the pipelines and platforms that turn raw information into industry shaping intelligence.

Your Impact

As a Data Engineer, you will design, build, and optimize the data infrastructure that fuels Radix's AI/ML models, dashboards, and customer facing products. Working hand in hand with data scientists, product managers, and software engineers, you'll make certain the right data shows up in the right place at the right time-securely, accurately, and efficiently. Your solutions will directly shape how thousands of multifamily professionals discover insights and make data driven decisions.

This is an onsite role in Scottsdale, AZ.

Key Outcomes

Reliable Data Pipelines - Deliver highly available, low latency ETL/ELT pipelines that ingest and transform high-volume records with efficiency

Scalable Architecture - Implement cloud native patterns (e.g., CDC, stream processing, lake house) that can scale with the business

Data Quality & Governance - Achieve automated data quality coverage through testing, monitoring, and alerting, reducing manual fixes

Cross Team Enablement - Provide self service data access that accelerates analytics and model training cycles

Key Responsibilities

Design ETL/ELT workflows using Python, SQL, and orchestration tools (Airflow, Prefect, Dagster) to ingest data from APIs, files, and third party feeds

Engage with complex business challenges and design innovative, scalable data solutions that unlock insight and drive strategic outcomes

Develop and maintain data lakes and warehouses (Snowflake, BigQuery, Redshift, or similar) following lake house principles, partitioning, and cost optimization best practices

Leverage Kafka, Kinesis, or Pub/Sub to process real time data for event driven features and analytics

Embed tests and monitoring to catch anomalies early; champion data governance standards

Partner with data scientists to produce features; work with backend engineers to surface data via APIs; liaise with DevOps on CI/CD and infrastructure as code (Terraform, Pulumi)

Enforce data security, privacy, and compliance (SOC 2) across pipelines and storage layers

Track performance metrics, conduct root cause analysis on incidents, and iterate rapidly in sprints

What You Bring

Experience

3-8 years in data engineering or related backend engineering roles within cloud based environments

Proven track record designing and operating production grade data pipelines supporting analytics or ML workloads

Skills

Expert in Python and advanced SQL; comfortable with Spark

Hands on with modern orchestration (Airflow/Prefect/Dagster) and version controlled ELT frameworks (dbt)

Depth in at least one cloud ecosystem (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

Familiarity with CI/CD and infrastructure as code (Terraform, CloudFormation)

Strong grasp of data modeling, performance tuning, and cost optimization

Excellent communication and collaboration skills to translate business needs into technical solutions

Preferred

Experience supporting AI/ML pipelines or MLOps tooling (Feature Store, MLflow)

Exposure to property tech, real estate, or other asset heavy industries

Knowledge of Data Mesh or domain oriented data product principles

Personal Attributes

Curiosity - You ask "why" relentlessly and love exploring new tech.

Resilience - You keep systems stable under load and bounce back quickly from incidents.

Impact Focused - You measure success by business value delivered, not lines of code written.

Courage - You're willing to refactor boldly and advocate for best practices.

Responsibility - You own your pipelines end to end-from design to on call.

How We Work at Radix

We thrive in an environment built on trust and collaboration. Micromanagement isn't our style; outcome ownership is. Our values guide every sprint, stand up, and architectural decision. You'll have the autonomy to innovate and the support of teammates who care deeply about quality and customer impact.

Job Posted by ApplicantPro

Full-time