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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sightline Data Engineer I (Sightline Information Technology) - **Company:** Johns Hopkins University - **Location:** Baltimore, MD, United States - **Experience:** Experienced - **Salary:** $87,635.0 - $153,545.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Microsoft Azure, Cloud Computing, Cloud Database, Databases, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Visualization, Data Warehousing, DevOps, Monitoring of Systems, Information Lifecycle Management, Python (Programming Language), Operational Databases, Software Maintenance, Raw Data, Software Systems, Web Applications, Data Processing, Cloud Platform System, Infrastructure as Code (IaC), Microsoft Fabric, Data Lakes, Information Technology, Data Management, Software Version Control, Data Pipelines - **Published:** October 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8e604b086ccff4e7 ## About the Role * 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 a high school diploma/graduation equivalent, 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. * Experience developing and maintaining Python-based data engineering solutions. * Familiarity with DevOps methodologies, version control systems, and CI/CD deployment practices. * Experience implementing Infrastructure as Code (IaC) solutions using industry-standard tools and frameworks. * 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. Preferred Technical Skills * Microsoft Fabric - Intermediate * Lakehouse Architecture & Data Management - Intermediate * Cloud Data Engineering (Azure Preferred) - Intermediate * Python Development & Data Engineering Notebooks - Intermediate * CI/CD and DevOps Practices - Intermediate * Infrastructure as Code (IaC) - Intermediate * Data Platform Monitoring & Observability - Intermediate * Cloud Data Architecture - Intermediate, Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job. Applicants Completing Studies Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date. ## Description We are 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. The Data Engineer I will help input/output data from databases and realize complex queries. The Data Engineer I will support the creation of scripts for data manipulation, cleaning, filtering, and preparation of data outputs to be used for data visualization or web display. This will also include creating parts of systems to monitor and guarantee data quality, perform daily data quality assurance tasks, maintain, and troubleshoot the infrastructure, and audit data sources. The Data Engineer I will help explore and analyze data to answer policy-related questions as needed., * 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 and convert raw data into usable information. * 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 design data architecture and provide ongoing support. * Assist with input/output data from databases and perform queries. * Assist in the creation of scripts to clean, transform, and analyze data. * Contribute to production data pipelines using data warehousing systems. * Create and implement production software to monitor data quality and detect data anomalies. * 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. * Communicate with division leadership, and others on the team. * Collaborate with external partners, contractors, and vendors. * Other duties as assigned.