Johns Hopkins University

Johns Hopkins University

Data Engineer I (HR Data and Analytics)

Baltimore, Maryland · Full-time

Sponsorship not specified$88k-$154kDetected 29 days ago
Data EngineeringData VisualizationProject ManagementSAPHRHRISResearchLeadership

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odds of building a lasting career here

88Lottery-free
Cap-exempt (no lottery)100
Sponsors year-round100
Entry-level history60
PERM / green-card track50
Fits your clock70

Files H-1B any time — no cap, no lottery. The 2026 weighted-selection rule doesn't touch it, which makes this the strongest structural path for entry-level talent. Pay is often lower, but your odds of staying are dramatically higher.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 4 green-card filings in this occupation, 100% were for a worker who already held the job.

States it is exempt from the H-1B cap

In 3 Department of Labor filings, this employer states it is an institution of higher education — one of the statutory grounds for exemption from the H-1B cap. Cap-exempt employers can file year-round without entering the lottery.Employer's own attestation on a Department of Labor wage determination, not a USCIS determination — exemption is decided per petition.

Files H-1B transfers

22 transfer filings in the last year, covering 22 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • The Data Engineer I will help input/output data from databases and realize complex queries.
  • The Data Engineer I will help explore and analyze data to answer policy-related questions as needed.

Requirements

  • Bachelor's Degree.

Nice to have

  • 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.
  • 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

Skills

  • 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 in the creation of scripts to clean, transform, and analyze data.
  • Contribute to production data pipelines using data warehousing systems.
  • Perform daily manual data quality assurance tasks.
  • Support, maintain, and troubleshoot the software infrastructure.
  • Collaborate with external partners, contractors, and vendors.

Compensation

  • $87,635 - $153,545 Annually (Commensurate w/exp.)
  • Starting Salary Range:

Company info

  • 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.
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This listing is sourced directly from Johns Hopkins University's careers page and normalized into a canonical job model.