Power BI and Data Engineer
DataStaff, Inc.
Job Description
DataStaff, Inc . is in need of a Power BI and Data Engineer for a long-term contract opportunity with one of our direct clients located in Raleigh, NC
\n \n*This position is hybrid.
\n \nJob Description
\nThe Data Engineer is 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.
\n \nResponsibilities:
\n- \n
- Analyze source systems and design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse, Azure Data Factory, and related Azure services. \n
- Build and manage data ingestion workflows from Salesforce, including API integrations, schema alignment, and performance tuning. \n
- Develop and maintain data models, data transformations, and semantic layers to support Power BI reporting and analytics. \n
- Optimize Synapse pipelines, SQL queries, and data storage for performance, reliability, and cost efficiency. \n
- Troubleshoot pipeline failures, Salesforce API issues, and Power BI dataset/dataflow refresh problems. \n
Required Skills:
\n- \n
- 5 Years - Strong Hands-on experience configuring, designing, developing and testing dashboards using Power BI \n
- 5 Years - Experience supporting Power BI datasets, dataflows, and DirectQuery/Import models. \n
- 3 Years - Experience working with structured and semi-structured data formats (JSON, CSV, Parquet, etc.). \n
- 3 Years - Strong experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows \n
- 5 Years - SQL Mastery: Advanced query writing, ETL/ELT, performance tuning, and optimization. \n
- 3 Years - Programming Languages: Strong proficiency in Python or Scala for data processing. \n
- 5 Years - Hands-on experience in developing efficient PL/SQL procedures \n
- 2 Years - Experience with Programming and Scripting (SQL, T-SQL, and data query optimization) \n
- 2 Years - Solid understanding of Azure cloud services (Synapse, Data Lake, Data Factory, Azure SQL, monitoring tools). \n
- 2 Years - Experience in Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake schema) \n
This position is available as a corp-to-corp or W2 position with a competitive benefits package . DataStaff offers medical, dental, and vision coverage options as well as paid vacation, sick, and holiday leave. As many of our opportunities are long-term, we also have a 401k program available for employees after 6 months.
\n$128.94k - $168k
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