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Azure Data​/Software EngineerData Focused

Job in Grand Rapids, Kent County, Michigan, 49528, USA
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.
Required Qualifications
  • 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.
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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