HelioCampus
Data Engineer
Vaga remota de Data Engineer com fit claro de localização do candidato.
Publicada13 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Data Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
What You Will Do:
- Develop: Design, build, and deploy robust ETL/ELT solutions using SQL and Python.
- Test & Deploy: Perform comprehensive unit testing and participate in code reviews to ensure data integrity and system reliability.
- Analyze: Monitor and evaluate pipeline performance trends to proactively prevent bottlenecks and system failures.
- Troubleshoot: Diagnose and resolve complex ETL issues in real-time, identifying root causes to prevent recurrence.
- Collaborate: Work closely with analysts and senior engineers to expand reporting models that meet evolving university goals.
You Will Be a Good Fit For This Role If You Have:
- Previous experience in the Higher Education or EdTech sector.
- 3+ years of professional experience specifically in ETL/SQL development and data engineering.
- Expertise in SQL: Strong proficiency in developing complex queries, analyzing data, and managing system integrations.
- Data Architecture Knowledge: A solid understanding of data warehouse concepts, structures, and dimensional modeling.
- Coding Proficiency: Experience with at least one object-oriented programming language (Python, Java, etc.).
- An Analytical Mindset: The ability to think on your fly and approach technical challenges with a solution-oriented focus.
- Autonomy: A drive to explore technical hurdles and find solutions with minimal supervision in a fast-paced environment.
Nice To Have’s Include:
- Experience with AWS tools (Redshift, S3, Glue) or other major Cloud Service Platforms.
- Exposure to NoSQL data transformation approaches.
- Proficiency in translating complex business requirements into technical SQL specifications.
Projects You Will Work On:
- Higher Ed Data Warehouse Expansion: Scaling our core warehouse to accommodate new data sources and institutional partners.
- KPI Modeling: Refining and expanding reporting models to track student learning outcomes and financial sustainability.
- Pipeline Modernization: Optimizing existing ETL processes to leverage modern cloud-native features for faster processing.
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