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Sr Data Engineer

Job in Fort Lauderdale, Broward County, Florida, 33336, USA
Listing for: ViziRecruiter,LLC.
Full Time position
Listed on 2026-03-01
Job specializations:
  • Software Development
    Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Introduction

As a pioneer in the Charter school movement, CSUSA is one of the fastest-growing education management organizations in the United States, providing a wide variety of educational choices to over 82,000 students in more than 150 schools across Florida, South Carolina, North Carolina, and Louisiana.

Charter Schools USA is an Equal Opportunity Employer.

Overview

Charter Schools USA (CSUSA) is one of the largest and highest performing education management companies in the United States, proudly serving over 82,000 students in over 150 schools in four states. Founded by Jonathan Hage in 1997, CSUSA's mission is a Relentless Commitment to Student Greatness in School and in Life™. CSUSA provides an academically rigorous education to students equipping them with real world readiness, prepared for college or career after graduation.

With an unwavering dedication to the success of students from every background, CSUSA is closing the gaps in achievement and opportunity, keeping our promise of Strong Minds, Good Hearts™.

Job Purpose

To join a team of people with the mission:
Relentless Commitment to Student Greatness in School and in Life ™. If you love inspiring and motivating young learners and want to put students first in education, CSUSA is the right place for you. We deliver on our promise of Strong Minds, Good Hearts™ through an education model that gives every student the opportunity for success. The Senior Data Engineer is a technical authority and hands‑on contributor responsible for designing, building, and maintaining scalable data infrastructure and pipelines that support the organization's data analytics, business intelligence, and operational reporting needs.

In addition to enabling advanced analytics, the Senior Data Engineer plays a critical role in architecting and implementing integrations between disparate systems, including internal platforms, vendor solutions, and external services, to create seamless and efficient data flows across the organization's enterprise architecture ecosystem. The Senior Data Engineer serves as both an individual contributor and technical mentor, working closely with data analysts, data engineers, business intelligence teams, and business stakeholders to ensure reliable, high‑quality data delivery.

This position plays a critical role in translating business requirements into scalable data solutions, establishing best practices for data engineering, fosters effective and scalable solutions, and ensuring data quality, security, and compliance across multiple school locations and subsidiaries. The role requires deep expertise in modern data engineering technologies, data warehousing, ETL/ELT tools, programming languages, and cloud platform capabilities.

Responsibilities Data Architecture and Engineering
  • Design, develop, and maintain efficient, effective, and scalable data pipelines and ETL/ELT processes to integrate data from multiple source systems.
  • Architect and implement solutions within a data warehouse environment, including data modeling, optimization, and performance tuning.
  • Develop and maintain a cloud‑based data infrastructure.
  • Create and maintain data models (dimensional, relational) that support business intelligence and analytics requirements.
  • Build robust, reusable data pipelines that ensure data accuracy, consistency, and availability across the organization.
Data Integration and Quality
  • Design, develop, and maintain customized integrations to enable seamless data flows across all systems within the enterprise architecture.
  • Develop source‑to‑target mappings and maintain comprehensive data lineage documentation.
  • Perform data profiling and analysis to validate business domains, ensure data quality, and identify data anomalies.
  • Implement data validation frameworks and quality checks to ensure accuracy and completeness.
  • Work with stakeholders to understand source system data models and translate technical data structures into business‑friendly formats.
  • Manage vendor data integrations and establish secure data access protocols, including external API connections and third‑party service integrations.
Collaboration and Requirements Analysis
  • Elicit, interpret,…
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