Compunnel
Michigan, Grand Rapids
06/10/2025
Contract
Active
Job Description:
Job Summary We are seeking a highly skilled Azure Data/Software Engineer with a strong focus on data engineering and marketing platform integration. The ideal candidate will have hands-on experience with Azure data services, Python, and Databricks, along with a solid understanding of digital marketing platforms such as Google Marketing Platform (DV360, CM360, GAM360), The Trade Desk, and social media platforms like Facebook and Pinterest. This role requires a hybrid work schedule (MondayWednesday onsite in Grand Rapids, MI). Key Responsibilities Design, develop, and implement data movement pipelines, dashboards, and analytical assets using Azure technologies. Build data ingestion and extraction processes for marketing platforms including Google Marketing Platform, Salesforce MCI, The Trade Desk, and ADvendio. Develop and maintain solutions using Azure Data Factory, Databricks, Synapse, Power BI, ADLS Gen2, and GCP BigQuery. Perform configuration and administration of marketing platforms to support data integration and analytics. Gather and implement functional and non-functional requirements, including performance monitoring and alerting. Collaborate with business stakeholders to gather requirements and deliver data-driven insights. Participate in Agile ceremonies and contribute to sprint planning, testing, and delivery. Ensure secure development and deployment practices in collaboration with security and infrastructure teams. Interface with product managers and IT partners to define and estimate features for agile teams. Required Qualifications
6+ years of experience in business application design, development, and implementation. 23 years of hands-on experience with Azure data engineering tools. Strong experience with Python and Databricks. Proven experience designing data pipelines and implementing data ingestion, transformation, and analytics solutions. Familiarity with Azure services: Data Factory, Log Analytics, Synapse, Power BI, ADLS Gen2. Experience with CI/CD, data governance, security, and compliance in Azure. Working knowledge of marketing platforms such as Google Marketing Platform, Salesforce MCI, The Trade Desk, and ADvendio. Experience with marketing domain data ingestion and analytics. Bachelors degree in Computer Science, Information Systems, Engineering, or a related field. Strong communication, collaboration, and documentation skills. Preferred Qualifications
Experience with Power BI, data modeling, and reporting. Knowledge of API architecture in Azure. SAFe certification or Agile training. Experience with multiple technical environments and configurations. Familiarity with fault injection, observability, and resiliency testing.
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Job Summary We are seeking a highly skilled Azure Data/Software Engineer with a strong focus on data engineering and marketing platform integration. The ideal candidate will have hands-on experience with Azure data services, Python, and Databricks, along with a solid understanding of digital marketing platforms such as Google Marketing Platform (DV360, CM360, GAM360), The Trade Desk, and social media platforms like Facebook and Pinterest. This role requires a hybrid work schedule (MondayWednesday onsite in Grand Rapids, MI). Key Responsibilities Design, develop, and implement data movement pipelines, dashboards, and analytical assets using Azure technologies. Build data ingestion and extraction processes for marketing platforms including Google Marketing Platform, Salesforce MCI, The Trade Desk, and ADvendio. Develop and maintain solutions using Azure Data Factory, Databricks, Synapse, Power BI, ADLS Gen2, and GCP BigQuery. Perform configuration and administration of marketing platforms to support data integration and analytics. Gather and implement functional and non-functional requirements, including performance monitoring and alerting. Collaborate with business stakeholders to gather requirements and deliver data-driven insights. Participate in Agile ceremonies and contribute to sprint planning, testing, and delivery. Ensure secure development and deployment practices in collaboration with security and infrastructure teams. Interface with product managers and IT partners to define and estimate features for agile teams. Required Qualifications
6+ years of experience in business application design, development, and implementation. 23 years of hands-on experience with Azure data engineering tools. Strong experience with Python and Databricks. Proven experience designing data pipelines and implementing data ingestion, transformation, and analytics solutions. Familiarity with Azure services: Data Factory, Log Analytics, Synapse, Power BI, ADLS Gen2. Experience with CI/CD, data governance, security, and compliance in Azure. Working knowledge of marketing platforms such as Google Marketing Platform, Salesforce MCI, The Trade Desk, and ADvendio. Experience with marketing domain data ingestion and analytics. Bachelors degree in Computer Science, Information Systems, Engineering, or a related field. Strong communication, collaboration, and documentation skills. Preferred Qualifications
Experience with Power BI, data modeling, and reporting. Knowledge of API architecture in Azure. SAFe certification or Agile training. Experience with multiple technical environments and configurations. Familiarity with fault injection, observability, and resiliency testing.
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