Role overview

Qualifications

Must be a US Citizen
Bachelor’s degree in Data Engineering, Computer Science, or a related field
Minimum 8 years of experience in enterprise data architecture
Proficiency in Azure Data Factory, Data Lake Gen2, Synapse, and GitHub

Responsibilities

Implementing and maintaining scalable data pipelines
Build ingestion and transformation flows in Azure Data Factory
Manages storage structures in Data Lake
Configure Synapse and implement monitoring and alerting

Key facts

Remote from: North Carolina (USA)
Full time
Senior (5-10 years)
Data Engineer
English

Hard skills

Azure Data Factory Data Lakes Python (Programming Language) Data Transformation SQL (Programming Language) Data Architecture Continuous Monitoring Well Logging

Other skills

Collaboration

About the company

PlanIT Group, LLC

PlanIT Group is an IT and engineering professional services company which provides top-tier talent to various commercial and government customers. We also provide systems and IT infrastructure integration which allows us to bring the talent and manage the implementation. At PlanIT Group, we pride ourselves on being extremely agile, innovative, and forward thinking. At PlanIT Group, we specialize in sourcing and matching skilled professionals to meet the dynamic demands of the digital landscape. With a focus on precision and expertise, we connect companies with the right individuals, driving innovation, and success in the ever-evolving world of technology. Our customers engage us to create solutions to complex mission challenges, and PlanIT delivers. Innovation. Integration. Integrity.

Company details

Company size51 - 200

Links

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Job description

Senior Data Engineer- US Citizens only

We are seeking a Senior Data Engineer to join our team of qualified, diverse individuals supporting a Federal Government customer. Candidates must be able to obtain a Moderate Background Investigation (MBI) clearance - US Citizen and must not have traveled outside the US for a combined total of 6 months or more in the last 5 years. Must have resided in the US for the last 5 years

This resource will serve as the authoritative resource for the agency who specializes in preparing big data infrastructure for analytical or operational uses. You will be responsible for designing and creating systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret and enables the agency to make smarter decisions and optimize operations.

Primary responsibilities:
• Implementing and maintaining scalable data pipelines
• Build ingestion and transformation flows in Azure Data Factory
• Manages storage structures in Data Lake
• Configure Synapse and implement monitoring and alerting.
• Collaborate with data architects and business Subject Matter Experts (SMEs) to support operational reporting and data quality.

Minimum Qualifications
• Must be a US Citizen.
• Must have a Bachelor’s degree in Data Engineering, Computer Science, or a related field.
• Minimum 8 years of experience in enterprise data architecture, including at least 5 years in designing and deploying cloud-based data platforms (preferably Azure).
• Proficiency in Azure Data Factory, Data Lake Gen2, Synapse, and GitHub
• Experience implementing monitoring, logging, and alerting pipelines
• Strong skills in Python, SQL, and data transformation logic
• Familiarity with metadata tagging, sensitivity labeling, and QA frameworks