Job Details

Data Engineer (Hybrid - Scottsdale, AZ or Relocation Required)

We are seeking a highly skilled Data Engineer to join a fast-paced and collaborative team. This role is ideal for someone with strong experience in modern data engineering practices and a passion for building scalable, efficient data solutions.

Please note: Visa sponsorship is not available for this role. Candidates must be located in Scottsdale, AZ or willing to relocate. This is a hybrid position.

Compensation

• Salary Range: $100,000 - $130,000 annually
  
  

Key Responsibilities

• Design, develop, and maintain robust data pipelines using Azure Data Services (Azure Data Factory, Synapse, Azure SQL, etc.)
• Implement ETL processes with Pentaho PDI and Airbyte for data ingestion and transformation
• Optimize SQL queries for performance and efficient data retrieval
• Build data solutions to support BI, analytics, and AI/ML initiatives
• Administer and maintain Azure infrastructure, including security, monitoring, and performance tuning
• Develop automation and transformation scripts using Python and integrate with APIs
• Orchestrate workflows using Dagster or Apache Airflow
• Create advanced reports and dashboards in Power BI, including paginated reports and complex DAX calculations
• Collaborate with analysts, data scientists, and business stakeholders to deliver impactful solutions
• Ensure data quality, governance, and security across platforms
  
  

Required Skills & Experience

• 3-5 years of experience as a Data Engineer in Azure Cloud environments
• Strong expertise in Azure Data Services (ADF, Synapse, Databricks, Azure SQL)
• Proficiency with ETL tools, especially Pentaho PDI and Airbyte
• Advanced SQL skills with a focus on query optimization
• Experience with Power BI and Power Automate
• Hands-on Azure administration experience
• Proficiency in Python for scripting and automation
• Experience with DBT for data transformations
• Familiarity with Dagster or Apache Airflow for orchestration
• Strong understanding of data modeling (dimensional, star, snowflake schemas)
• Ability to work effectively in an agile, collaborative environment
  
  

Preferred Qualifications

• Experience with DevOps practices for CI/CD in data engineering
• Exposure to AI/ML technologies on Azure
• Knowledge of finance and operational reporting
• Familiarity with data governance and compliance (e.g., GDPR, HIPAA)
• Background in manufactured housing or property management is a plus