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Data Engineer
Data EngineerGlocomms • Scottsdale, AZ, United States
Data Engineer

Data Engineer

Glocomms • Scottsdale, AZ, United States
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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
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    Data Engineer • Scottsdale, AZ, United States

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