Data Engineer
Zachary Piper
Norfolk, VA, United States
about 2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$95,000.0 - $105,000.0
Working hours
Regular working hours
Job source
Tech stack
Data Analysis
Microsoft Azure
Cloud Database
CompTIA Security+
Databases
Data Architecture
Data Cleansing
Information Engineering
Data Governance
Data Hub
Data Integration
Extract Transform Load (ETL)
+30 more
Data Transformation
Data Migration
Data Normalization
Data Systems
Data Warehousing
Database Development
Python (Programming Language)
Microsoft SQL Server
SQL Azure
Network Connections
Windows PowerShell
Power BI
DataOps
SQL Databases
SQL Server Integration Services
Systems Integration
Transact-SQL
Extensible Markup Language (XML)
Enterprise Data Management
Data Processing
Cloud Platform System
Data Ingestion
Azure Data Factory
Backend
SC Clearance
Data Lakes
Tools for Reporting
Splunk
Data Pipelines
Legacy Systems
Job description
- Build, maintain, and optimize enterprise data pipelines using Azure Data Factory (ADF)
- Ingest, transform, cleanse, stage, and aggregate data from disparate and legacy systems
- Design and manage data movement between SQL databases, repositories, and cloud environments
- Develop backend data solutions that support Power BI and enterprise reporting platforms
- Collaborate with stakeholders to determine data connectivity, storage strategies, and reporting requirements, Keywords: Azure Data Factory (ADF), Data Engineer, Azure Data Engineer, Azure Cloud, Azure SQL, SQL Server, T-SQL, Data Pipelines, ETL, ELT, Data Integration, Data Migration, Data Ingestion, Data Transformation, Data Cleansing, Data Wrangling, Data Aggregation, Data Staging, Data Modeling, Data Warehousing, Enterprise Data Management, Data Repository Development, Database Development, Legacy System Integration, API Integration, Cloud Data Solutions, Data Architecture, Business Intelligence (BI), Power BI, Dashboard Development, Reporting Solutions, Analytics, Enterprise Reporting, SSIS, ETL Development, PowerShell, Python, XML, Splunk, Data Lake, Azure Storage, Microsoft Azure, Backend Data Engineering, Data Connectivity, Data Movement, SQL Databases, Data Governance, Data Quality, Data Operations, Security+
Requirements
- Active Secret Clearance
- 3-4 years of hands-on Data Engineering experience, including enterprise data transformation, staging, aggregation, and pipeline development
- Experience building and maintaining data pipelines using Azure Data Factory (ADF) and integrating data across multiple systems and databases
- Strong experience with SQL databases, data modeling, and preparing data for enterprise reporting and analytics
- Experience supporting Power BI or similar Business Intelligence/reporting tools in an enterprise environment
Benefits & conditions
- Salary Range: $95,000 - $105,000
- Comprehensive Benefits: Medical, Dental, Vision, 401(k), PTO, Sick Leave if required by law, and Holidays
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Apply on www.clearancejobs.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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