Data Engineer

Zachary Piper

Norfolk, VA, United States

2 days 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

www.clearancejobs.com

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