Data Engineer: Cloud Pipelines & Analytics

San Jose State University Research Foundation; San Jose (CA); On-site; USD 77,000 - 85,000; Full time

Benefits offered by this job

Health insurance

Dental & vision coverage

Retirement plan

Paid holidays

Professional development

Employee discounts

Job summary

San Jose State University Research Foundation looks for a Data Engineer to develop and maintain data pipelines feeding the campus data warehouse and analytics platforms. You will design data models, implement transformations, and ensure data quality across Oracle, Snowflake, and Databricks, while collaborating with stakeholders.

The role emphasizes cloud deployment, SQL scripting, Python/Java development, and adherence to data governance approaches, enabling informed university decision-making.

Qualifications

• Bachelor's degree or equivalent in a technical field with coursework in programming, databases, or statistics.
• 1+ year of professional experience in data engineering or related field.
• Experience using SQL and programming languages such as Python or Java.
• Experience with Oracle, Snowflake, or Databricks.
• Experience with AWS or Google Cloud Platform.

Responsibilities

• Develop, test, implement, and maintain data pipelines and integration processes into SJSU's data warehouse and analytics platforms.
• Develop and maintain SQL queries, database objects, data transformations, and data models for reporting and analytics.
• Apply Python, Java, SQL, or similar languages to develop, maintain, and support data solutions.
• Analyze source-system data structures and business rules to support enterprise data platforms.
• Troubleshoot data pipeline and production data issues with teams to resolve complex problems.
• Develop and maintain processes to validate data quality, integrity, and completeness.
• Deploy scalable, secure data solutions in cloud environments for analytics and operations.
• Support data solutions using relational databases and platforms like Oracle, Snowflake, Databricks, AWS, and GCP.
• Follow data architecture, ETL/ELT, and data warehousing principles in development and maintenance.
• Collaborate with engineers, analysts, developers, and stakeholders to translate requirements into data solutions.
• Support analytical methodologies including segmentation, forecasting, data mining, and predictive modeling.

Skills

SQL

Python

Java

Data integration

Data warehousing

Cloud computing

Analytical skills

Communication

Agile

Data modeling

Education

Bachelor's degree

Master's degree (preferred)

Tools

Oracle

Snowflake

Databricks

Tableau

Looker

AWS

Google Cloud Platform

Job description

San Jose State University Research Foundation looks for a Data Engineer to develop and maintain data pipelines feeding the campus data warehouse and analytics platforms. You will design data models, implement transformations, and ensure data quality across Oracle, Snowflake, and Databricks, while collaborating with stakeholders.

The role emphasizes cloud deployment, SQL scripting, Python/Java development, and adherence to data governance approaches, enabling informed university decision-making.