Power BI and Data engineer

Zohorecruit; Nevada (IA); On-site; USD 90,000 - 150,000; Full time

Job summary

Zohorecruit seeks an NC FAST Power BI and Data Engineer for a 1-year contract in the United States. You will design and optimize data pipelines on cloud platforms, leveraging Azure Synapse, Power BI, and Salesforce/Curam/Oracle integrations to meet program needs.

You will build scalable ETL/ELT pipelines, manage Salesforce ingestion, model data for semantic layers, and ensure reliable Power BI reporting with SQL, Python/Scala, ADLS/Delta Lake expertise.

Qualifications

• Strong hands-on experience configuring, designing, developing and testing dashboards using Power BI.
• Experience supporting Power BI datasets, dataflows, and DirectQuery/Import models.
• Experience 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.

Skills

Power BI dashboards

Power BI datasets & dataflows

Azure Synapse

Azure Data Factory

SQL

Python/Scala for data processing

PL/SQL

Azure Data Lake Storage

Delta Lake / data modeling

Salesforce API integrations

Tools

Azure Synapse

Azure Data Factory

Azure SQL

Salesforce API

Parquet/JSON/CSV

Delta Lake

Databricks

Snowflake

Job description

• Actual Job Title NC FAST Power BI and Data engineer
• Job Type FT Contract
• Contract duration 1 year
• Date Opened 10/06/2026
• Target Date 10/09/2026
• State/Province North Carolina
• Country United States
• Assigned Recruiter(s) Pranali Chaudhari
• Number of Positions 1

Job Description

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.

Key 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.
  

Requirements

Skill

Required / Desired

Amount

of Experience

Strong Hands-on experience configuring, designing, developing and testing dashboards using Power BI
Required
5
Years

Experience supporting Power BI datasets, dataflows, and DirectQuery/Import models.
Required
5
Years

Experience working with structured and semi-structured data formats (JSON, CSV, Parquet, etc.).
Required
3
Years

Strong experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows
Required
3
Years

SQL Mastery: Advanced query writing, ETL/ELT, performance tuning, and optimization.
Required
5
Years

Programming Languages: Strong proficiency in Python or Scala for data processing.
Required
3
Years

Hands-on experience in developing efficient PL/SQL procedures
Required
5
Years

Experience with Programming and Scripting (SQL, T-SQL, and data query optimization)
Required
2
Years

Solid understanding of Azure cloud services (Synapse, Data Lake, Data Factory, Azure SQL, monitoring tools).
Required
2
Years

Experience in Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake schema)
Required
2
Years