Overview
Hybrid
$70 - $80
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Data Engineer
Synapse
Azure Synapse Data Engineer
ETL
Snowflake
Python
Scala
SQL
Data Modeling
Data Warehousing
ETL/ELT
Azure Data Factory
T-SQL
AWS
Azure
Job Details
Job Title: NC FAST Senior Data Engineer (758028) in Durham NC - Hybrid
Duration: 12 Months
Interview: Either Webcam Interview or In Person
The last date: 10/02/2025
Job description:
DHHS-ITD is seeking a Senior Data Engineer to lead the development and optimization of end-to-end solutions using Microsoft Azure Synapse Analytics, ensuring data accessibility, performance, and security for the Child Welfare Program.
The Department of Health and Human Services (DHHS) requires the assistance of a contract resource to serve as a Senior Synapse Data Engineer. The primary purpose of this position is to lead the development and optimization of our data pipelines, analytics solutions, and cloud-based data platforms. This role will be instrumental in designing and implementing end-to-end data engineering solutions using Microsoft Azure Synapse Analytics to meet child welfare business needs.
Key Responsibilities:
- Synapse
- Design, develop, and maintain data models in Synapse to support reporting and analytics
- Develop ETL solutions using Azure Synapse Analytics Pipelines and dedicated SQL pools for extraction, transformation, and aggregation from Salesforce objects.
- Analyze the source system and design the ETL data load.
- Ability to create and configure an Azure Synapse Analytics workspace.
- Create pipelines in Azure Synapse using Linked Services/Datasets/Pipeline to Extract, Transform, and Load data from different sources like Salesforce.
- Perform needed monitoring, troubleshooting, and maintenance of the data architecture and pipelines.
- Power BI Tools
- Collaborate with data engineers, analysts, and stakeholders to gather requirements, design visualizations, and provide training to use self-service BI Tools.
Skills & Questions Matrix: to be filled
Skill | Required / Desired | Amount of Experience | No of years of experience you have |
Experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake, or Databricks workflows | Required | 5 Years | |
Programming Languages: Strong proficiency in Python or Scala for data processing. | Required | 3 Years | |
SQL Mastery: Advanced query writing, performance tuning, and optimization. | Required | 7 Years | |
Experience with Data Modeling and Warehousing (star schema, snowflake schema) | Required | 4 Years | |
Experience with ETL/ELT processes | Required | 5 Years | |
Experience with Azure Data Platform (Azure Data Factory, Azure Data Lake, and Azure SQL Database) | Highly desired | 4 Years | |
Familiarity with Event Hubs, Azure Stream Analytics, and Azure Functions | Desired | 4 Years | |
Experience with Programming and Scripting (SQL, T-SQL, and data query optimization) | Desired | 1 Year | |
Experience with cloud platforms (e.g., AWS and Azure) and associated services for data processing and storage | Desired | 5 Years | |
Experience with Power BI | Nice to have | 1 Year | |
Q1: Absences greater than two weeks MUST be approved by CAI management in advance, and contact information must be provided to CAI so that the resource can be reached during his or her absence. The Client has the right to dismiss the resource if he or she does not return to work by the agreed-upon date. Do you accept this requirement? (Yes/No) | |||
Q2: Please provide the candidate's current location (City and state), NOT a Yes or No response. | |||
Q3: The client is requesting that candidates provide 2 references prior to final selection. The references must be recent from a Sr Manager/Director overseeing the candidate's work. Do you accept this requirement? (Yes/No) | |||
Q4: Please list Professional Certifications for data engineering platforms like Azure Synapse, Databricks, Snowflake, and the year they were received. The certifications will be validated. | |||
Q5: Please provide a brief description of recent professional development work with Azure Synapse Analytics or Databricks, or Snowflake. |
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