Senior Data Engineer

PlanIT Group LLC

$100K — $130K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • US Citizenship and eligibility for a Moderate Background Investigation (MBI) clearance
  • Bachelor's degree in Data Engineering, Computer Science, or related field
  • 8+ years in enterprise data architecture, with 5+ years in cloud-based platforms (preferably Azure)
  • Expertise in Azure Data Factory, Data Lake Gen2, Synapse, and GitHub
  • Experience in creating monitoring, logging, and alerting systems
  • Strong command of Python, SQL, and data transformation techniques
  • Knowledge of metadata tagging, sensitivity labeling, and QA frameworks

Responsibilities

  • Implement and maintain scalable data pipelines
  • Build ingestion and transformation workflows in Azure Data Factory
  • Manage storage structures within the Data Lake
  • Configure Synapse for optimal performance and implement monitoring
  • Collaborate with data architects and business SMEs for operational reporting
  • Ensure data quality and integrity through effective practices
  • Develop systems that convert raw data into actionable insights.

Benefits

  • Opportunity to support a Federal Government customer
  • Working in a diverse and qualified team
  • Engagement in meaningful projects with a focus on innovative data solutions
  • Potential for career advancement in a specialized field
  • Contribution to smarter decision-making and optimized operations for the agency
Full 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

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