Power BI and Data Engineer (Hybrid)

Serigor•Raleigh, NC
•Hybrid

About The Position

The client requires the assistance of a contract resource to serve as a 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.

Requirements

  • Strong Hands-on experience configuring, designing, developing and testing dashboards using Power BI
  • Experience supporting Power BI datasets, dataflows, and Direct Query/Import models.
  • Experience working with structured and semi-structured data formats (JSON, CSV, Parquet, etc.).
  • Strong experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows
  • SQL Mastery: Advanced query writing, ETL/ELT, performance tuning, and optimization.
  • Programming Languages: Strong proficiency in Python or Scala for data processing.
  • Hands-on experience in developing efficient PL/SQL procedures
  • Experience with Programming and Scripting (SQL, T-SQL, and data query optimization)
  • Solid understanding of Azure cloud services (Synapse, Data Lake, Data Factory, Azure SQL, monitoring tools).
  • Experience in Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake schema)

Responsibilities

  • 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.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service