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Johns Hopkins University
Sightline Data Engineer I
🇺🇸
Remote - Baltimore, Maryland
🕑
Full-Time
💰
$88K - $154K
💻
Information Technology
🗓️
October 18th, 2026
Higher Ed
Edtech.com's Summary
Johns Hopkins University is hiring a Sightline Data Engineer I to help build and maintain the data pipelines behind the Sightline team, from raw data acquisition through visualization. The role supports ETL and ELT work, data quality monitoring, and analysis that answers policy-related questions. It is a fully remote position based out of Baltimore, MD.
Highlights
- Assist with the design, production, and maintenance of data pipelines for data acquisition, management, and transformation.
- Write and maintain ETL and ELT processes that operate on structured and unstructured sources, including pipelines in data warehousing systems.
- Develop and maintain web data scraping systems and back-end code that powers data web applications.
- Create scripts to clean, transform, and analyze data and run complex database queries.
- Build production software that monitors data quality and detects anomalies, and perform daily data quality assurance tasks.
- Support, maintain, and troubleshoot the software infrastructure and audit data sources.
- Source and analyze data and generate insights for research projects, working with developers, analysts, data scientists, researchers, and policy experts.
- Bachelor’s degree and three years of related experience, with Microsoft Fabric, Python, and Azure preferred; remote at $87,635 to $153,545 a year.
Sightline Data Engineer I Full Description
Sightline Data Engineer I (Sightline Information Technology)
Sightline, Johns Hopkins University Administration | Baltimore, MD | Remote (less than 10% on-site) | Full-time, Exempt | Requisition 122431
Starting salary range: $87,635 - $153,545 annually (commensurate with experience) | Schedule: Monday-Friday 8:30 am - 4:30 pm
About the Role
Johns Hopkins University is seeking a Sightline Data Engineer I who will assist with the creation and maintenance of complex data pipelines from raw acquisition of data to visualization. The Data Engineer I will support the design, production, and maintenance of software infrastructure to automatically extract, transform, and load data from diverse sources, help input and output data from databases and realize complex queries, and support the creation of scripts for data manipulation, cleaning, filtering, and preparation of data outputs for visualization or web display.
The role also includes creating parts of systems to monitor and guarantee data quality, performing daily data quality assurance tasks, maintaining and troubleshooting the infrastructure, auditing data sources, and exploring and analyzing data to answer policy-related questions as needed.
Responsibilities
- Assist with the design, production, and maintenance of data pipelines for data acquisition, management, and transformation, and back-end code development to power data web applications.
- Contribute to writing and maintenance of ETL/ELTs that operate on a variety of structured and unstructured sources.
- Assist with the development and maintenance of web data scraping systems for automatic data acquisition.
- Assist in designing data architecture and provide ongoing support, including database input/output and queries.
- Assist in the creation of scripts to clean, transform, and analyze data, and contribute to production data pipelines using data warehousing systems.
- Create and implement production software to monitor data quality and detect data anomalies, and perform daily manual data quality assurance tasks.
- Support, maintain, and troubleshoot the software infrastructure.
- Source data, conduct analyses, visualize data, and generate insights to support ongoing research projects and other requests across the organization.
- Assist developers, analysts, data scientists, researchers, policy experts, and other partners, and collaborate with external partners, contractors, and vendors.
Minimum Qualifications
- Bachelor’s degree.
- Three years of related experience.
- Additional education may substitute for required experience, and additional related experience may substitute for required education beyond high school, to the extent permitted by the JHU equivalency formula.
Preferred Qualifications
- Experience working with Microsoft Fabric or similar cloud-based analytics and data engineering platforms.
- Experience designing and maintaining data pipelines in cloud environments and developing Python-based data engineering solutions.
- Familiarity with DevOps methodologies, version control systems, and CI/CD deployment practices.
- Experience implementing Infrastructure as Code (IaC) solutions.
- Knowledge of modern data lake, lakehouse, and data warehouse architectures.
- Familiarity with cloud platforms such as Microsoft Azure and related data services.
- Understanding of data governance, security, and data lifecycle management principles.
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