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Power BI and Data Engineer - HYBRID

Hybrid in Raleigh, NC, US • Posted 4 hours ago • Updated 4 hours ago

Contract Corp To Corp

Contract Independent

Contract W2

11 Months

50% Travel Required

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

API
ELT
Microsoft Azure
PL/SQL
Microsoft Power BI
JSON
Oracle
Python
Curam

Summary

Job Description:

***Crop to Crop resumes are accepted

The Department of health and human services 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.

Required Skills:

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

Experience supporting Power BI datasets, dataflows, and DirectQuery/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)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10121151
Position Id: NCFAST-PBDE0902
Posted 4 hours ago

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Emily Koel

Recruiter @ Chandra Technologies, Inc.

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