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Higher Education, Healthcare, Research

Data Engineer I (HR Data and Analytics)

Baltimore, MDHybridFull Time$87,635–$153,545 /yrPosted 1 month agoVisa sponsorship available

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Required skills

  • Data Pipelines
  • ETL/ELT
  • Data Acquisition
  • Data Transformation
  • Data Manipulation
  • Data Cleaning
  • Data Preparation
  • Database
  • Queries
  • Data Quality

Nice to have

  • Workday HCM
  • Workforce Data
  • Organizational Data
  • Position Data
  • Job Data
  • Compensation Data

Role summary

Seeking a Data Engineer I to build and maintain complex data pipelines, from raw data acquisition to visualization. This role involves designing, producing, and maintaining software infrastructure for data extraction, transformation, and loading (ETL/ELT). Responsibilities include database interaction, complex query execution, data manipulation scripting, data quality monitoring, and troubleshooting infrastructure. The Data Engineer I will also explore and analyze data to answer policy-related questions and support various organizational research projects. The position requires a Bachelor's Degree and three years of related experience, with a hybrid work arrangement.

We are seeking a Data Engineer I to 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.

Specific Duties & 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 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.


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 a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.


Preferred Qualifications
  • Experience working with Workday HCM, including workforce, organizational, position, job, compensation, talent, and security data structures.
  • Familiarity with HR technology ecosystems and integrations, including Workday HCM, SAP HCM, HR data warehouses, and reporting platforms.
  • Understanding of human resources data domains and workforce analytics, including recruiting, talent management, compensation, organizational management, learning, and employee lifecycle processes.
  • Knowledge of HR data governance, metadata management, data dictionaries, and standardized data definitions.
  • Experience supporting large-scale HR system implementations, migrations, or transformations, particularly HCM platform transitions.
  • Familiarity with enterprise reporting and analytics tools such as Power BI, Tableau, Workday Reporting, Prism Analytics, or similar platforms.
  • Experience supporting data quality monitoring, reconciliation, and audit processes for HR and workforce data.


Technical Skills & Expected Level of Proficiency

  • Data Pipeline Architecture & ETL/ELT Development - Intermediate
  • Database Querying - Intermediate
  • Data Tools and Platforms - Intermediate
  • Data Validation and Quality Assurance - Intermediate
  • Data Warehousing & Architecture - Intermediate
  • Project Management - Intermediate
  • Programming Languages - Intermediate
  • Troubleshooting - Intermediate
  • Web Scraping and Data Acquisition - Intermediate

Classified Title: Data Engineer I
Role/Level/Range: ATP/04/PF
Starting Salary Range: $87,635 - $153,545 Annually (Commensurate w/exp.) 
Employee group: Full Time 
Schedule: M-F/8:30-5:00 
FLSA Status: Exempt 
Location: Hybrid/Eastern High Campus
Department name: HR Data and Analytics
Personnel area: University Administration 

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