Data Engineer
California College Guidance Initiative
Full-Time
Remote Within California With Occasional Travel
All Candidates Must Currently Live Full-Time in California
Overview of Role
The California College Guidance Initiative (CCGI) is looking for a data engineer to join the Cloud Infrastructure Team. As part of the team, you will be a key contributor in the expansion, refinement, and continued development of CCGI’s infrastructure utilizing Snowflake and Amazon Web Services (AWS), as well as continuing to build out our data analytics and engineering tools .
The ideal candidate has extensive experience building out data ETL/ELT workloads, including the testing, maintenance, and refinement of containerized workloads in cloud architectures. The Data Engineer should also have experience successfully scaling up an organization’s data intake from batch to streaming data, as well as automating data delivery. This person is comfortable working with data storage and can troubleshoot data accessibility via SQL, Python, shell scripting, AWS, Snowflake, and take on a leadership role in special projects when needed. Additionally, this person should have experience developing technical documentation and implementing security governance protocols.
While there are no direct supervisory responsibilities for this position, the ideal candidate will have proactively and successfully collaborated with other subject matter experts to move time-bound projects to completion. Additionally, the ideal candidate will have experience working with K-12 or education data and/or have an interest in large educational systems and the equity challenges students face when navigating such systems.
We work to solve large scale, system-level problems. You must be comfortable working with unknowns and ambiguous solutions, as well as passionate about promoting public education and advancing educational equity. This role reports to the Director, Cloud Infrastructure.
What Will You Be Doing?
Lead the development, maintenance, and optimization of batch and streaming ETL/ELT processes, including the development, refinement, and containerization of data loading and processing using event driven architecture and workflow orchestration.
Develop, containerize, test and maintain workflows within integrated development environments (IDEs) using AWS cloud services, Snowflake data warehouses, Python and SQL scripts, dbt, and shell scripts.
Review, redesign, and expand data models supporting data warehousing and self-service business intelligence architecture to create fully automated data pipeline(s) from staged or streamed data to organization of data warehouse objects and producing access via reporting, alerts or API access.
Design and implement data pipeline automation requiring Python scripting and SQL statements, integrating with systems such as Salesforce, Slack and AWS services using serverless, cloud servers and containerized systems.
Participate in meetings, research processes, requirement collection, data analysis, and collaborate with the key project collaborators.stakeholders of your projects.
Develop and maintain expert knowledge of CaliforniaColleges.edu data, systems, and business processes.
Continuously improve data pipelines and architecture by staying updated on industry trends and best practices.
Other duties as assigned by your supervisor.
What Technical Skills Do You Need?
Relevant BA/BS in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
Minimum of three (3) years of experience as a Data Engineer or a related role.
Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management.
Advanced proficiency with cloud data warehousing analytical tools such as Snowflake, Redshift, Spark, Kafka, etc.
Expert SQL knowledge (SQL Server, PostgreSQL, MySQL, etc.) and understanding of relational databases, query authoring and optimization, as well as working…