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Azure Data/Software EngineerData Focused
Job in
Grand Rapids, Kent County, Michigan, 49528, USA
Listed on 2026-02-05
Listing for:
Compunnel, Inc.
Full Time
position Listed on 2026-02-05
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst
Job Description & How to Apply Below
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, GAM
360), The Trade Desk, and social media platforms like Facebook and Pinterest.
This role requires a hybrid work schedule (Monday–Wednesday 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 Big Query.
- 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.
- 6+ years of experience in business application design, development, and implementation.
- 2–3 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 Gen
2. - 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.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
- Strong communication, collaboration, and documentation skills.
- 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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