Centraprise Corp.
Data Science Tester
Charlotte, North Carolina, USA · Full-time
Stay score
odds of building a lasting career here
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.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$4,312 more — $104,312 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $104,312 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Charlotte-Concord-Gastonia, NC-SC. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Third-party placement is common here
Files H-1B transfers
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.
Community outcomes
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About the role
- Must Have Technical/Functional Skills Minimum Qualifications • Strong SQL experience (Oracle preferred): joins, window functions, CTEs, and performance aware analytical queries. • MongoDB experience, including aggregation pipelines and understanding schema tradeoffs in document- based systems. • Hands-on Power BI experience: data models, DAX fundamentals, refresh behavior, and metric validation. • Solid grounding in statistical reasoning for analytics: distributions, aggregation effects, segmentation, bias detection, and trend interpretation. • Experience working within an SDLC and analytics delivery lifecycle (Agile/Jira familiarity). • Strong written and verbal communication: ability to explain complex analytical findings clearly to technical and non-technical audiences.
- Nice to Haves • Experience with large-scale enterprise analytics or developer productivity metrics. • Familiarity with BI semantic modeling (star/snowflake, measures vs. dimensions). • Exposure to Jira, Jenkins, SonarQube, Ansible Tower, or similar engineering tooling. • Python or similar scripting for exploratory analysis, validation, or repeatable checks. • Background in data governance, metric stewardship, or analytical standards (definitions, SLAs, lineage).
Requirements
- Experience with large-scale enterprise analytics or developer productivity metrics.
- Familiarity with BI semantic modeling (star/snowflake, measures vs. dimensions).
- Must Have Technical/Functional Skills Minimum Qualifications
Nice to have
- Technical/Functional Skills Minimum Qualifications
- Strong SQL experience (Oracle preferred): joins, window functions, CTEs, and performance aware analytical queries.
- Hands-on Power BI experience: data models, DAX fundamentals, refresh behavior, and metric validation.
- Solid grounding in statistical reasoning for analytics: distributions, aggregation effects, segmentation, bias detection, and trend interpretation.
- Experience working within an SDLC and analytics delivery lifecycle (Agile/Jira familiarity).
- Strong written and verbal communication: ability to explain complex analytical findings clearly to technical and non-technical audiences.
Compensation
- $100k-$120k
This listing is sourced directly from Centraprise Corp.'s careers page and normalized into a canonical job model.