Senior Data 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 scalable data pipelines, transformations, and reusable data models • Translate business and technical requirements into maintainable data structures and engineering solutions • Develop dimensional, relational, and analytical data models for reporting, analytics, and downstream applications • Implement controls for data quality, reconciliation, lineage, testing, documentation, and production readiness • Optimize SQL, data models, workloads, and processing patterns for performance, reliability, scalability, and cost • Lead technical design reviews, code reviews, troubleshooting, root-cause analysis, and resolution of complex production issues • Partner with data integration, architecture, DevOps, security, governance, analytics, and application teams on end-to-end data solutions • Establish and promote engineering standards for development, testing, deployment, documentation, monitoring, and source control • Evaluate source and downstream changes, identify technical risks, and communicate impacts to stakeholders and delivery teams • Mentor engineers, provide technical guidance, and contribute to modernization and retirement of legacy data solutions

🎯 Requirements

• Seven or more years of experience in data engineering, data warehousing, ETL/ELT development, database engineering, or a related field • Advanced SQL skills and experience designing and supporting production data pipelines and analytical data models • Experience with cloud data platforms such as Snowflake, Azure, AWS, Google Cloud, Databricks, or comparable technologies • Experience with transformation and engineering tools such as dbt, Coalesce, Spark, SQL-based frameworks, or comparable platforms • Strong knowledge of dimensional modeling, data warehousing, incremental processing, orchestration, dependency management, and data quality testing • Experience with Python, PowerShell, Bash, Java, Scala, or another programming or scripting language • Experience with Git-based source control, automated testing, CI/CD, deployment management, and production monitoring • Ability to optimize data workloads, investigate complex issues, and design reliable recovery and reprocessing processes • Working knowledge of data security, access controls, sensitive data handling, lineage, governance, and regulatory requirements • Strong technical leadership, analytical, documentation, communication, mentoring, 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

🏖️ Benefits

• Remote work arrangement • Equal opportunity employment • Additional compensation and benefits information available upon request for residents of states with designated pay transparency requirements