Glocomms
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
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