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Job · San Jose, CA · Full time

Data Engineer

San Jose State University Research Foundation · Education · $89.3M budget · 1,488 staff · Since 1932

Why San Jose State University Research Foundation

FY2024 · Form 990Its mission and biggest programs, as filed

Supports university education and community welfare by managing research administration, non-credit programs, and activities that benefit students, faculty, and the local community.

  • Sponsored programs: provide grant and contract proposal development, and support and administration services to San Jose State University faculty, generating 347 proposals and receiving 253 awards worth $111,384,752 during fiscal year ending june 30, 2025. The externally surrounding community beneficiaries…$60.2M spent in FY2024
  • Campus and community programs: include numerous non-credit programs and activities that supplement and support the San Jose State university's educational mission. These activities benefit the students, faculty, and the surrounding San Jose community.$13.2M spent in FY2024

Before you apply

FY2023 · Form 990Independent: from IRS data, not the org
Pays its leaders
$1K–$264K
12 officers reported
Fine: from the org's Form 990.
Pt VII · Sec A
Budget
$66.5M
spent in FY2023
Fine: from the org's Form 990.
Pt I · Ln 18
Staff
1,488
employees
1 volunteers
Fine: from the org's Form 990.
Pt I · Ln 5–6
Spent on programs
84%
of spending
Looks good: 84% of spending went to programs; 75% or more.
Pt IX · Ln 25 · col B
Surplus or deficit
+8%
of revenue, FY2023
Looks good: revenue was at least expenses in the latest filing.
Pt I · Ln 19
Cash reserves
4 mo
of spending, in cash and securities
Looks good: 4.3 months of spending in cash; 3 or more.
Pt X · Ln 1–2 · Pt I · Ln 18
Latest return
FY2023
latest Form 990
Fine: the latest return is for FY2023, 3 tax years back; within 3 tax years.
IRS e-file
IRS status
501(c)(3)
tax-exempt since 1961
Looks good: listed by the IRS.
IRS BMF
Looks goodFineWorth a lookConcernTap a box for the reason.

About the role

The org's own posting, as written

OUR STATEMENT The San José State University Research Foundation (SJSURF) is committed to building a work environment where everyone can show up as their own self and have an opportunity to contribute, develop, and advance in their career. Diversity, Equity, and Inclusion (DEI) are core values of the organization. We strive to attract, retain, and develop employees who reflect the community and society where we work and live. The Research Foundation aims to develop a culture where everyone feels welcome, shares their views, and where differences in backgrounds and perspectives are seen as adding value.

The Data Engineer supports SJSU's Campus Data Warehousing and Business Intelligence initiatives through the development, integration, and maintenance of enterprise data solutions. The position contributes to the development and maintenance of data pipelines and data models that integrate information from multiple university systems into trusted, governed data platforms used for institutional reporting, analytics, and data-driven decision-making.

GENERAL NATURE OF POSITION Working under the guidance of senior technical staff, the Data Engineer applies knowledge of computer science, information systems, database technologies, programming, data architecture, and cloud-based data platforms to develop and support enterprise data solutions. The position works with technical teams and university stakeholders to analyze requirements, troubleshoot data and system issues, design technical solutions, document business and technical requirements, and support vendor and locally developed systems. ESSENTIAL DUTIES & RESPONSIBILITIES 1.

Develop, test, implement, and maintain data pipelines and integration processes that extract, transform, and load data from multiple enterprise source systems into SJSU's data warehouse and analytics platforms. 2. Develop and maintain SQL queries, database objects, data transformations, and data models in support of reporting and analytics requirements. 3. Apply programming and scripting languages such as Python, Java, SQL, or similar technologies to develop, maintain, and support data solutions. 4. Analyze source-system data structures, relationships, and business rules to support integration into enterprise data platforms. 5.

Troubleshoot data pipeline, integration, database, and production data issues by reviewing SQL queries, source data, system logs, application logic, and code; collaborate with senior developers and other technical teams to resolve more complex issues. 6. Develop and maintain processes to validate data quality, integrity, consistency, and completeness. 7. Develop and deploy scalable, secure, and reliable data solutions in cloud environments to support analytics and business operations. 8. Support data solutions using relational databases, cloud computing environments, data lakehouse technologies, and platforms such as Oracle, Snowflake, Databricks, AWS, and Google Cloud Platform. 9.

Apply established data…

Read the full posting

About San Jose State University Research Foundation

From its Form 990

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