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Senior Data Engineer
| Company | Kiddom |
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| Location | San Francisco, CA, USA |
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| Salary | $160000 – $180000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- 3+ years of experience as a data engineer, and 8+ years of software engineering experience (including data engineering)
- Expertise with RDMS and Data Warehousing, demonstrating ability to design and optimize data pipelines, systems and architectures.
- Experience in managed services for data ingestion/processing with hands-on experience working in AWS environments and operational experience with deploying infrastructure on AWS using Terraform.
- Expert-level knowledge of SQL and a solid understanding of NoSQL & graph databases (e.g., Cassandra, Neptune).
- Experience with distributed compute platforms and frameworks, such as Kubernetes/ECS, AWS Lambdas, Spark and distributed storage systems.
- Expertise with any of data orchestration platforms such as Airflow, Dagster, Prefect or similar frameworks.
Responsibilities
- Design, build, and maintain scalable data pipelines to transform raw data into analytics-ready datasets.
- Ensure optimal performance, reliability, and efficiency of the data pipelines.
- Monitor and Deploy the data infrastructure for performance bottlenecks and implement optimizations as necessary.
- Collaborate with other engineering teams to ensure seamless data integration with high availability.
- Leverage SQL, DBT, Golang, Python, Terraform and AWS tools to enhance our data infrastructure.
- Keep the Kiddom team updated on the latest advancements in AI and data engineering tools and best practices.
Preferred Qualifications
No preferred qualifications provided.
