Power BI and Data engineer

Medix

$95K — $115K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data engineering or related field
  • Proficiency in Azure Synapse Analytics and Azure Data Factory
  • Strong understanding of ETL/ELT processes and data modeling
  • Experience with Power BI for reporting and analytics
  • Familiarity with Salesforce API and data integrations

Responsibilities

  • Design and develop scalable ETL/ELT pipelines using Azure Synapse
  • Build data ingestion workflows with Salesforce API integrations
  • Develop data models and transformations to support Power BI
  • Optimize data pipelines and SQL queries for performance and cost
  • Troubleshoot issues with data pipelines and API integrations

Benefits

  • Access to continuous professional development and training
  • Flexible work environment including remote work options
  • Health, dental, and vision insurance benefits
  • Retirement savings plan with company matching
  • Collaborative team culture focused on innovation
Full Job Description
Data Engineer responsible for the design, development, and optimization of data pipelines and analytics solutions/dashboards on cloud-based data platforms. This work will leverage Azure Synapse Analytics, Power BI, and integrations with Salesforce or Curam/Oracle to support program needs.

  • Analyze source systems and design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse, Azure Data Factory, and related Azure services.
  • Build and manage data ingestion workflows from Salesforce, including API integrations, schema alignment, and performance tuning.
  • Develop and maintain data models, data transformations,and semantic layers to support Power BI reporting and analytics.
  • Optimize Synapse pipelines, SQL queries, and data storage for performance, reliability, and cost efficiency.
  • Troubleshoot pipeline failures, Salesforce API issues,and Power BI dataset/dataflow refresh problems.

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