Sr. IP Network Engineer Vaco LLC
Raleigh, NC4 days ago
- $130,000–$160,000 Per Year
Highlights
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 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).
Numbers & Facts
| Location | Raleigh, NC |
Description
DHHS-ITD is seeking a Data Engineer for design, development, and optimization of a cloud-based analytics environment built on Microsoft Azureand Power BI for the Child Welfare and Medicaid Program(s).
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/Desired Skills
| 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 |
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