Senior Data Engineer

Overview

On Site
$51 - $69 hourly
Contract - W2
Contract - Temp

Skills

Unstructured data
Relational databases
NoSQL
Database
Flat file
Scalability
Data Lake
Extract
transform
load
ELT
Data loading
Transformation
Data governance
Policies
Design
Reporting
Microsoft Azure
FOCUS
Analytics
Business intelligence
Oracle
Artificial intelligence
Messaging
Data

Job Details

RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Data Engineer in Laurel, MD.

Key Tasks:
* Create and optimize complex data pipelines using Azure Data Factory, Synapse Analytics, and other Azure tools to extract, transform, and load data efficiently
* Implement and maintain Azure Data Lake solutions to store large volumes of structured and unstructured data, ensuring scalability, performance, and security
* Integrate data from various sources, including relational databases, NoSQL databases, APIs, and flat files, into the Azure environment for analysis and reporting
* Design and develop robust data architectures, optimizing for performance and scalability in Azure Synapse Analytics and Azure Data Lake environments
* Develop efficient ETL/ELT processes using Azure Data Factory or other Azure tools to ensure timely and accurate data loading and transformation
* Ensure data pipelines run smoothly by monitoring, troubleshooting, and resolving issues to minimize downtime and data inconsistencies
* Continuously optimize data pipelines and query performance, especially within Azure Synapse to handle large data sets and complex transformations efficiently
* Work closely with data scientists, analysts, and business teams to understand data requirements and deliver scalable data solutions that support analytics needs
* Implement and enforce security best practices, ensuring data lakes, pipelines, and analytics solutions comply with Azure security standards and data governance policies
* Design and implement logical and physical data models that support high performance querying and reporting within Azure Synapse

REQUIREMENTS:
* Bachelor's degree in Information Systems, Computer Science, or related scientific or technical field and three (5) years minimum of relevant experience
* 5+ years of experience designing and implementing data solutions and creating data pipelines at enterprise-level applications
* Demonstrated experience working on large-scale data projects in diverse team environments with a focus on analytics, business intelligence, and enterprise systems
* Preferred to have experience in water and wastewater industry understanding of oracle utility applications

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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