Job Description
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
Job Tags
Relocation,