Data Engineer Jobs

The University of Southern California, founded in 1880, is located in the heart of downtown and is the largest private employer in the City of Los Angeles. As an employee of USC, you will be a part of a world-class research university and a member of the “Trojan Family.”
USC University Advancement is seeking a collaborative Data Engineer to design, build, and launch new data models to provide intuitive analytics to customers. Reporting to the Executive Director of Business Intelligence, the Data Engineer will move data from our Data Warehouse Systems into downstream databases and data marts for analysis. This is a hybrid position based in our downtown Los Angeles office (USC Tower).
USC values diversity and is committed to equal opportunity in employment. USC University Advancement is committed to fostering a diverse, equitable, and inclusive culture in which all advancement staff and our stakeholders have the opportunity to connect, belong, and grow while supporting the USC’s mission, values, and goals.
Job Accountabilities

• Collaborate with a cross-functional team of client leads, application developers, operations engineers, and architects to translate complex product requirements into technical specs and design requirements
• Design, build and launch extremely efficient & reliable data pipelines to move data (both large and small amounts) from our Data Warehouse Systems into downstream databases and data marts for analysis
• Develop high quality, reliable, and fault-tolerant data solutions based on internal and external customers/users’ requirements, applying best practices and new trends/technologies all along the solution lifecycle.
• Provide production support for data load jobs and develop customized query to generate automatic periodic reports
• Provide daily monitoring, management, troubleshooting, and issue resolution to existing and new data solutions and systems’ interfaces affected by them.
• Architect, build, and launch new data models that provide intuitive analytics to your customers
• Design, build and deploy ETL and data management processes with reliable error/exception handling and rollback framework
• Optimize performance and cost efficiency of cloud-based processes across multiple cloud environments (AWS, Azure, GCP)
• Build applications writing SQL/Python scripts to manipulate data and/or writing specific instructions for off-shore programmers to write the scripts
• Develop strategies to extract, resolve, and unify information of various types from numerous disparate data sources and integrate cohesively with external business applications

Qualifications

• Broad knowledge of different database technologies beyond RDBMS, vendor/solution capabilities in data management and reporting/analytics – data federation, big data, data quality, Business Intelligence, etc., and writing complex SQL queries in a data warehouse environment
• 2+ years of overall experience developing cloud-native data solutions on Azure/AWS (Must have a solid understanding of cloud concepts: Storage, Compute, Network and Managed Services)
• Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro, SSIS)
• 3+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Warehouse, etc.).
• Experience with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)
• Experience with AWS ecosystem (Data Lake Formation, Glue, Data Pipelines, EC2, Redshift, S3, Glacier, DynamoDB, Lambda, etc.)
• 3+ years of experience programming in PowerShell and C#
• 3+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc.

Documentation And Additional Information
To apply, please include a resume and cover letter.
The annual base salary range for this position is $96,739.35 - $110,000. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
USC has excellent benefits, including health benefits for staff & their family with access to the renowned university medical network; retirement plans with employer contributions once you meet Program’s eligibility; tuition benefits for staff & their family; central Los Angeles location with easy access to commuter trains, buses & free tram pick up services.
The University of Southern California values diversity and is committed to equal opportunity in employment.
Minimum Education: Bachelor's degree Minimum Experience: 3 years Minimum Field of Expertise: Direct knowledge and experience in data modeling, data warehousing and reporting. Project management experience for complex projects. Demonstrated organizational, critical thinking, interpersonal, planning, problem solving, and business analytical skills. Able to work at a high functional and technical level.