Rochester

Rochester

Research Data Engineer II- Cabin

Rochester - NY, USA · Mid · Full-time

Sponsorship not specified$77k-$116kDetected 76 days ago
PythonJavaCode ReviewGitSQLCloud PlatformsDockerLinuxData AnalysisData EngineeringData ScienceStatisticsControlsTest AutomationBioinformaticsRadiologyResearchLeadershipCommunicationProblem Solving

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odds of building a lasting career here

53Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability.
  • Ensures reliable, secure, and scalable access to research datasets used in imaging analysis and scientific computing workflows.
  • Ensures accuracy, reliability, and reproducibility of data processing workflows used in research studies.

Responsibilities

  • Designs, develops, and maintains data engineering and analytics infrastructure to support MRI research, neuroimaging workflows, and multimodal scientific data analysis within the URMC CABIN research environment.
  • Builds and supports scalable data pipelines and software systems that enable researchers to collect, process, manage, and analyze structured and unstructured research data generated from MRI scanners, imaging analysis tools, and related research platforms.
  • Develops data integration frameworks that aggregate information from multiple sources including imaging systems, research databases, clinical systems, and analysis environments.
  • Supports the implementation and maintenance of research data infrastructure such as data repositories, data lakes, and workflow automation systems used in MRI and neuroscience research.
  • Collaborates with researchers, engineers, and IT teams to deliver reliable, scalable, and reproducible data and software solutions that support scientific discovery and advanced imaging analysis workflows.
  • Designs, builds, and maintains scalable Extract, Transform, and Load (ETL) pipelines that ingest and process large volumes of MRI and research data from diverse sources including imaging systems, research databases, and scientific computing platforms.
  • Develops and maintains data architecture capable of supporting growing imaging datasets and complex research workflows.
  • Collaborates with research teams to translate scientific, technical, and operational requirements into robust software and data workflow solutions.
  • Develops tools and applications to support MRI data collection, processing, analysis, and reporting.
  • Manages multiple project timelines while ensuring solutions meet the needs of research teams and stakeholders.

Nice to have

  • Bachelor's degree in Data Science, Computer Science, Biomedical Informatics, Bioinformatics, Statistics, Engineering, or a related field (required)
  • 2+ years of experience in data engineering, research computing, or data-intensive scientific environments (required)
  • Strong programming experience in SQL and at least one additional language such as Python, R, or Java (required)
  • Experience building and maintaining ETL pipelines and research data workflows (required)
  • Experience working with large scientific datasets, particularly imaging or biomedical research data (preferred)
  • Familiarity with MRI or neuroimaging data formats (e.g., DICOM, NIfTI) (preferred)
  • Experience with Linux-based scientific computing environments (preferred)
  • Experience with high-performance computing (HPC), container technologies (e.g., Docker/Singularity), or cloud infrastructure (IaaS/PaaS) (preferred)

Compensation

  • $77,216.00 - $115,824.00
  • The referenced pay range represents the minimum and maximum compensation for this job.
  • Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Benefits

  • equity, leadership, integrity, openness, respect, and accountability.
  • An equivalent combination of education and experience may be considered (required)

Company info

  • This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.

Visa & Work Authorization

  • information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected
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