Cloud Data Engineer (lead)

Washington, DC, US • Posted 21 hours ago • Updated 9 hours ago

Full Time

On-site

USD $75.00 - 78.00 per hour

Fitment

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Job Details

Skills

Computer Science
Dashboard
Performance Testing
Data Warehouse
Apache JMeter
Testing
Apache Spark
UI
Ganglia
Microsoft
Database
ELT
Business Intelligence
Microsoft SQL Server
Stored Procedures
Microsoft SSIS
Microsoft SSRS
Microsoft SSAS
Cubes
Scripting
Transact-SQL
Python
PySpark
Windows PowerShell
Extract
Transform
Load
Analytics
Data Lake
SQL
NoSQL
IT Management
Cloud Computing
Data Engineering
Microsoft Azure
Data Analysis
Reporting
Critical Thinking
Artificial Intelligence
TCM
DICE

Summary

JOB TITLE: CLOUD DATA ENGINEER LEAD
JOB LOCATION: REMOTE (DC)
WAGE RANGE*: 75.00-78.00 PER HOUR
JOB NUMBER: SAIJP00038665

REQUIRED EXPERIENCE:

At least a BS degree in Computer Science or related field and 9+ years experience.
5+ years of proven experience leading a team supporting enterprise data warehousing using Microsoft data warehousing and reporting solutions.
5+ years of experience working directly with clients to understand data needs, develop and deliver solutions (data engineering, reports, dashboards, data extracts), and provide continued support.
5+ years of strong experience in ETL performance testing for traditional EDW and Azure Cloud Data platforms with the use of tools such as JMeter, Native Azure Tools like Azure App Testing, Azure Monitor + Log Analytics, Spark UI + Ganglia for Lakehouse Performance.
5+ years of experience delivering solutions using Microsoft database, ETL/ELT, and business intelligence tools, including SQL Server (e.g. stored procedures), SSIS, SSRS, SSAS, (cubes).
5+ years of experience with more than one of the following scripting languages: SQL, T-SQL, Python, PySpark, PowerShell.
3+ years of experience designing and building ETL/data engineering solutions utilizing various cloud services such as Azure Data Lake Services, Azure Synapse Analytics, Azure Data Factory, Integration Runtime.
At least a BS degree in Computer Science or related field and 9+ years experience.
5+ years of proven experience leading a team supporting enterprise data warehousing using Microsoft data warehousing and reporting solutions.
5+ years of experience working directly with clients to understand data needs, develop and deliver solutions (data engineering, reports, dashboards, data extracts), and provide continued support.
5+ years of strong experience in ETL performance testing for traditional EDW and Azure Cloud Data platforms with the use of tools such as JMeter, Native Azure Tools like Azure App Testing, Azure Monitor + Log Analytics, Spark UI + Ganglia for Lakehouse Performance.
5+ years of experience delivering solutions using Microsoft database, ETL/ELT, and business intelligence tools, including SQL Server (e.g. stored procedures), SSIS, SSRS, SSAS, (cubes).
5+ years of experience with more than one of the following scripting languages: SQL, T-SQL, Python, PySpark, PowerShell.
3+ years of experience designing and building ETL/data engineering solutions utilizing various cloud services such as Azure Data Lake Services, Azure Synapse Analytics, Azure Data Factory, Integration Runtime.

JOB DESCRIPTION:

Cloud Data Engineering to lead a team of developers in, Design and implementation of data engineering solutions for Azure Cloud based Data Lake, SQL, and NoSQL data stores.
As a technical lead, you will work directly with end users to translate business requirements into cloud data engineering to support an enterprise scale Microsoft Azure based data analytics and reporting platform.
Our ideal candidate is mission focused and delivery oriented, and applies critical thinking, including the use of AI concepts, to create innovative functions and solve technical issues.

Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities

* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

#Dice

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: cxtcml
Position Id: 26-00529
Posted 21 hours ago

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