Position Details

Type Not Specified

Experience mid

Exp. Years Entry to senior levels

Education Not specified

Category IT Support & Helpdesk

About this role

This role involves designing and maintaining data pipelines and solutions for federal organizations, utilizing ETL tools and cloud services to ensure data integrity and scalability.

Key Responsibilities

Design data pipelines
Build ETL solutions
Collaborate with stakeholders
Ensure data quality
Support federal projects

Technical Overview

The position requires expertise in data engineering, ETL development, SQL, Python/Java, and AWS data platforms, with experience in reverse-engineering legacy systems.

Ideal Candidate

The ideal candidate is a versatile data engineer with experience in ETL development, data pipeline design, and AWS data services. They are adaptable, collaborative, and interested in federal projects, with a focus on scalable data solutions.

Must-Have Skills

Data engineeringETL developmentSQLPython or JavaExperience with AWS data services

Nice-to-Have Skills

Experience with legacy systemsData pipeline designData migrationFederal project experienceSecurity clearance eligibility

Tools & Platforms

StreamSetsPalantir FoundryPentahoInformaticaTalendAWS

Required Skills

Data engineeringETL developmentData pipelinesSQLPythonJavaAWS data servicesData solutionsLegacy systems

Hard Skills

Data engineeringETL developmentData pipelinesSQLPythonJavaAWS data servicesData solutionsSchema managementLegacy system reverse-engineering

Soft Skills

CollaborationProblem solvingCritical thinkingMentorshipCommunication

Certifications

Preferred

Federal security clearance

Industry & Role

Industry Government/Public Sector

Job Function Data pipeline development and data engineering

Keywords for Your Resume

Data EngineerETL developmentData pipelinesSQLPythonJavaAWS data servicesData solutionsLegacy systemsData migrationData engineering toolsData pipeline designFederal projectsSecurity clearanceData engineeringFederal experience

Deal Breakers

Lack of experience with ETL or data pipelines, No knowledge of AWS data services, Inability to work remotely

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