Staff Data Engineer
Location
United States
Posted
95 days ago
Salary
$200K - $225K / year
Bachelor Degree8 yrs expEnglishAWSCloudETLJavaNo SQLPythonSQL
Job Description
• Collaborate with engineering, data science, ML, and product analytics teams to develop data models and pipelines for customer-facing applications, research, reporting, and machine learning.
• Develop, implement, and optimize ETL processes for ingesting, processing, and transforming large volumes of structured and unstructured data into our data ecosystem.
• Optimize data models to support efficient data storage and retrieval processes for performance and scalability.
• Evaluate and implement a variety of data storage solutions, including RDS, NoSQL, data lakes, and cloud storage services.
• Work in close partnership with Platform Engineering to influence the direction and needs of the data platform.
Job Requirements
- Bachelor's or Master's degree in Computer Science, or a related engineering field.
- 8+ years of full stack or backend development experience.
- Fluency in building and maintaining ETL processes.
- Outstanding analytical skills and the ability to address problems in real-world settings.
- A demonstrated ability to work in a team, with excellent skills-sharing capabilities.
- Expertise in modern ETL technologies and building/supporting data pipelines at scale.
- Proven experience in evaluating and optimizing data architectures to increase performance, data discovery, and reduce cost.
- Proven experience with cloud-based data engineering pipeline design at scale. AWS and Databricks experience are plusses.
- Proven proficiency in one or more programming languages such as Python or Java, as well as SQL.
- Well-versed in the development lifecycle and software engineering best practices.
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Flexible PTO
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