Data Engineer II
About The Position
This role’s primary responsibility is to integrate data from a variety of sources into common data domain models, supporting data and analytics activities across Glassdoor and select Indeed business functions. This is a highly technical role that involves defining changes to the data lake model and building scalable, efficient processes to populate and modify it. You will bring practical experience in data processing and modeling within a data environment, including expertise in data modeling, test automation, and building reliable, trusted, and efficient data pipelines. In this role, you will design and implement data pipelines (ETLs) to integrate data from a variety of sources into the Glassdoor (Indeed) data warehouse, while also designing and implementing data model changes in close partnership with cross-functional product and data teams. You will provide documentation, training, and consultation for users of the data warehouse, and participate in an on-call rotation to support critical business pipelines. This work directly contributes to our mission of helping people get jobs by providing insights into the global job market and supporting product innovation that makes it easier for job seekers and employers to find each other.
Requirements
- Requires a minimum of 5 years of related experience; or Bachelor's degree and a minimum of 2 years of related experience; or an advanced degree without experience
- Extensive experience working on relational NoSQL and SQL databases
- Expertise in workflow orchestration and pipeline tools such as Airflow
- Experience with biodata and streaming technologies (Snowflake, Redshift, Hive, kafka, spark, Flink or similar technologies)
- Passionate about data and learning new technologies
- Demonstrated experience in software engineering fundamentals and coding
Responsibilities
- Designing and implementing reliable, efficient data pipelines (ETLs) in order to integrate data from a variety of sources into Indeed’s Data Warehouse
- Designing and implementing data model changes that align with warehouse standards
- Providing documentation, training, and consulting for data warehouse users
- Participate in an on-call rotation to support critical business pipelines
Benefits
- quarterly bonuses
- Restricted Stock Units (RSUs)
- Paid Time Off policy
- region-specific benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
