Georgia Institute of Technology
Senior Data Engineer
Albany, Georgia, USA · Senior · full-time
No sponsorshipDetected 151 days ago
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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.
Personalize to your clock →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 8 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 4 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.
Green-card follow-through: 67%
Of 6 labor certifications old enough to have been used, 2 expired without the employer filing the next step. Median time from filing to decision: 491 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Files H-1B transfers
11 transfer filings in the last year, covering 11 workers. Median labor-condition decision: 369 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 Senior Data Engineer serves as a technical leader within the Office of Institutional Research & Effectiveness and plays a central role in advancing Albany State University's enterprise data infrastructure and institutional analytics capabilities.
- This limited term position is funded through Title III sponsored funds.
- Continuation of employment is based upon availability of funds.
Responsibilities
- Data Architecture and Engineering Lead the design and evolution of the university's enterprise data architecture supporting institutional analytics, compliance reporting, and strategic planning.
- Build and manage automated ETL/ELT data pipelines that ingest, transform, and load data from enterprise systems into centralized analytics platforms.
- Develop and maintain robust data models to support institutional reporting, dashboards, and advanced analytics.
- Write, optimize, and maintain complex SQL queries, views, and stored procedures to ensure high-performance data retrieval.
- Collaborate with Institutional Research analysts to support institutional performance monitoring, predictive analytics, and strategic planning initiatives.
- Data Governance and Quality Implement data quality monitoring, validation, and integrity controls to ensure reliable institutional data.
- Support institutional data governance initiatives including development of data standards, metadata documentation, and access controls.
- Collaborate with Information Technology Services and functional departments to support data integration and enterprise reporting needs.
- Coordinate with external consultants and vendors to support enterprise data solutions.
- Maintain comprehensive technical documentation related to data architecture, data pipelines, and governance processes.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent professional experience.
- Minimum of five (5) years of professional experience in data engineering, data architecture, or related technical roles.
- Strong proficiency in SQL and relational database technologies.
- Experience designing and managing data pipelines and enterprise data architectures.
- Experience working with cloud-based data platforms.
Nice to have
- Master's degree in Computer Science, Data Science, Information Systems, or a related field.
- Experience with Microsoft Azure data services (Azure Data Factory, Synapse Analytics, Azure SQL, etc.).
- Familiarity with institutional reporting requirements such as IPEDS, accreditation reporting, or state reporting.
- Experience with business intelligence and data visualization tools such as Power BI.
- Experience with programming or scripting languages such as Python.
- Required Documents to Attach Cover letter.
- A list of at least 3 professional references with their contact information.
- Knowledge, Skills, & Abilities Data warehouse architecture and dimensional data modeling.
Benefits
- For individuals requiring disability-related accommodations for participation in any event or to obtain print materials in an alternative format, please contact the Disability Resource Center at.
Company info
- Respect We are directed by tenets of ethics, treating other with courteous regard, and being civil in our interactions.
Visa & Work Authorization
- Sponsorship is not available for this position.
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This listing is sourced directly from Georgia Institute of Technology's careers page and normalized into a canonical job model.