Data Engineer

Location:

2727 N Central Ave, Phoenix, Arizona 85004 United States of America

We’re seeking a hands-on Data Engineer to join our cross-functional platform team, partnering with Data Scientists, Analysts, Engineers, and Architects to build scalable data streaming, analytics, and machine-learning solutions in the Azure Databricks ecosystem. If you thrive on solving complex data challenges and delivering high-impact data products, this is the role for you.

What You’ll Do:

• Design & Build Pipelines: Develop, test, and maintain end-to-end data pipelines (batch and streaming) using Azure Databricks, Kafka, Spark, and Neo4j.

• Streaming Data: Architect and support real-time data pipelines, ensuring low-latency, high-throughput delivery in Kafka and Databricks environments.

• Data Quality & Validation: Implement robust validation and monitoring to detect, diagnose, and resolve data issues quickly.

• Collaboration: Work closely with Data Science to productionize ML models, and with BI teams to curate and deliver reliable datasets for reporting and dashboards.

• Technical Communication: Translate complex technical requirements into clear designs and articulate solutions to both technical and non-technical stakeholders.

What You Bring:

• Proven Experience: 3+ years building and maintaining Python/Java/Scala applications in a distributed data environment.

• Big Data Expertise: 2+ years with Data Lake architectures, Spark/Databricks development or administration, and Kafka streaming.

• Cloud Proficiency: Hands-on experience with Azure services—Databricks, Azure Services, and related infrastructure.

• Analytical Mindset: Strong problem-solving skills in distributed computing, with the ability to optimize performance and scalability.

• Machine Learning in Production: Experience deploying and monitoring Data Science/ML models as part of data products.

• Software Engineering Best Practices: Solid coding skills (Java, Python, Spark, SQL), with experience in testing, code reviews, CI/CD, and version control.

• Data Visualization: Comfortable analyzing data and building dashboards (e.g., Power BI, Python visualization libraries).

• Quick Learner: Able to rapidly understand new business domains and transform requirements into technical deliverables.

Education:

• Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.

U-Haul Offers:

• Full Medical Coverage  

• Prescription plans  

• Dental & Vision Plans  

• Registered Dietitian Program   

• Gym Reimbursement Program  

• Weight Watchers   

• Virtual Doctors’ Visits  

• Career stability  

• Opportunities for advancement  

• Valuable on-the-job training  

• Tuition reimbursement program  

• Free online courses for personal and professional development at U-Haul University®  

• Business travel insurance  

• You Matter Employee Assistance Program  

• Paid holidays, vacation, and sick days   

• Employee Stock Ownership Plan (ESOP)  

• 401(k) Savings Plan  

• Life insurance  

• Critical Illness/Group Accident  

• 24-hour physician available for kids  

• MetLaw Legal program  

• MetLif