DataStaff, Inc.

Power BI and Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Power BI and Data Engineer with a contract length of over 6 months, located in Raleigh, NC (hybrid). Key skills include Azure Synapse Analytics, Power BI, SQL mastery, and experience with Salesforce integrations.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 6, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Raleigh, NC
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🧠 - Skills detailed
#Data Pipeline #Data Storage #Azure SQL #Azure #Azure ADLS (Azure Data Lake Storage) #Data Processing #SQL (Structured Query Language) #Dataflow #"ETL (Extract #Transform #Load)" #Synapse #Storage #Python #Databricks #Snowflake #Datasets #BI (Business Intelligence) #Data Engineering #ADLS (Azure Data Lake Storage) #ADF (Azure Data Factory) #Azure Data Factory #Data Modeling #Programming #Data Transformations #Azure cloud #Scripting #Microsoft Power BI #API (Application Programming Interface) #Azure Synapse Analytics #Scala #SQL Queries #Delta Lake #Oracle #JSON (JavaScript Object Notation) #Monitoring #Data Ingestion #Data Lake #Cloud
Role 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 • This position is hybrid. Job Description The 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. 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. Required Skills: • 5 Years - Strong Hands-on experience configuring, designing, developing and testing dashboards using Power BI • 5 Years - Experience supporting Power BI datasets, dataflows, and DirectQuery/Import models. • 3 Years - Experience working with structured and semi-structured data formats (JSON, CSV, Parquet, etc.). • 3 Years - Strong experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows • 5 Years - SQL Mastery: Advanced query writing, ETL/ELT, performance tuning, and optimization. • 3 Years - Programming Languages: Strong proficiency in Python or Scala for data processing. • 5 Years - Hands-on experience in developing efficient PL/SQL procedures • 2 Years - Experience with Programming and Scripting (SQL, T-SQL, and data query optimization) • 2 Years - Solid understanding of Azure cloud services (Synapse, Data Lake, Data Factory, Azure SQL, monitoring tools). • 2 Years - Experience in Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake schema) 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.