Remote Data Engineer I: Data Pipelines & QA

Johns Hopkins University; Baltimore (MD); Hybrid; USD 88,000 - 154,000; Full time

Job summary

Johns Hopkins University is seeking a Sightline Data Engineer I to build and maintain data pipelines from raw data to visualization. You will support software infrastructure for automatic data extraction, transformation, and loading, and help input/output data in databases with complex queries.

The role includes monitoring data quality, auditing sources, and collaborating with multiple teams to answer policy-relevant questions. Remote work is limited to under 10% on-site at Baltimore.

Qualifications

• Bachelor’s degree and 3 years of related experience or higher education substitutions per policy.
• Experience designing and maintaining data pipelines and data workflows.
• Familiarity with cloud-based analytics platforms and Python-based tooling.

Responsibilities

• Design, produce, and maintain data pipelines for acquisition, management, and transformation.
• Contribute to ETL/ELT processes across structured and unstructured data sources.
• Develop and maintain web data scraping systems for automatic data acquisition.
• Assist in data architecture design and maintain database inputs/outputs and queries.
• Create scripts to clean, transform, and analyze data for production pipelines.
• Develop production software to monitor data quality and detect anomalies; perform QA tasks.
• Support, maintain, and troubleshoot the software infrastructure.
• Source data, analyze, visualize, and generate insights for ongoing research and requests.
• Collaborate with researchers, analysts, data scientists, partners, and vendors.

Skills

Data pipeline design

ETL/ELT development

Python scripting

Data quality monitoring

Collaboration with stakeholders

Education

Bachelor’s degree

Tools

Microsoft Fabric

Azure Cloud

CI/CD

Infrastructure as Code

Job description

Johns Hopkins University is seeking a Sightline Data Engineer I to build and maintain data pipelines from raw data to visualization. You will support software infrastructure for automatic data extraction, transformation, and loading, and help input/output data in databases with complex queries.

The role includes monitoring data quality, auditing sources, and collaborating with multiple teams to answer policy-relevant questions. Remote work is limited to under 10% on-site at Baltimore.