Data Integration Engineer

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American Public Education, Inc. (APEI)

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1991

📚 Education

👥 B2C

Education • B2C

American Public Education, Inc. (APEI) is a mission-driven, for-profit higher education services provider that delivers affordable, innovative degree and certificate programs to working adults, military service members and veterans, nurses, and other professionals. Through its wholly owned subsidiaries — American Public University System (American Public University and American Military University), Rasmussen University, and Hondros College of Nursing — APEI offers online, on-campus and workplace education focused on career-oriented programs and public service communities. The company is headquartered in Charles Town, West Virginia and emphasizes accessibility and support for adult learners and the military community.

📋 Description

• Design, build, test, deploy, and support data integrations across enterprise applications, databases, cloud platforms, APIs, files, and third-party systems • Develop batch, incremental, change-data-capture, API, and secure file-transfer pipelines • Configure and maintain source connections, destinations, schedules, credentials, synchronization methods, and environment-specific settings • Create and maintain source-to-target mappings, technical documentation, pipeline diagrams, support runbooks, and deployment records • Implement controls for data completeness, accuracy, reconciliation, duplicate prevention, freshness, traceability, and error handling • Monitor pipelines, investigate failures, perform root-cause analysis, restore service, and communicate impacts to stakeholders • Design integrations for restartability, schema changes, late-arriving data, partial failures, reprocessing, and source-system outages • Partner with data engineering, DevOps, security, governance, application teams, and vendors • Evaluate source-system changes and communicate risks or impacts to pipelines, downstream systems, and delivery schedules • Improve, modernize, and retire legacy integration processes while reducing manual effort, improving reliability, and controlling operating costs

🎯 Requirements

• Five or more years of experience in data integration, data engineering, ETL/ELT development, database engineering, or a related technical field • Strong SQL skills and experience developing and supporting production data pipelines in cloud, on-premises, or hybrid environments • Experience integrating databases, APIs, secure file transfers, flat files, semi-structured data, and third-party applications • Experience with data integration platforms such as Airbyte, CData, Fivetran, Informatica, Matillion, Azure Data Factory, Talend, or comparable tools • Working knowledge of batch processing, incremental loading, change data capture, schema evolution, error handling, and restartable pipeline design • Experience with Python, PowerShell, Bash, Java, or another scripting/programming language • Experience with cloud data platforms such as Snowflake, Azure, AWS, Google Cloud, Databricks, or comparable technologies • Experience with pipeline monitoring, alerting, logging, reconciliation, incident response, and production recovery • Working knowledge of source control, CI/CD practices, data security, encryption, credential management, and least-privilege access • Strong analytical, troubleshooting, documentation, communication, and cross-functional collaboration skills • Bachelor’s degree in computer science, information systems, data engineering, software engineering, information technology, or a related field; equivalent combination of education and relevant professional experience may be considered • Cloud-platform, database, data-integration, or DevOps certifications are preferred but not required

🏖️ Benefits

• Equal opportunity employment • Additional compensation and benefits information may be provided upon request to eligible residents of states with designated pay transparency requirements