Data EngineerGlocomms • Scottsdale, Arizona, US

Data Engineer

Glocomms • Scottsdale, Arizona, US

8 hours ago

Job type

Full-time

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

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Engineer Engineer • Scottsdale, Arizona, US

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