Data Engineer (Mid to Senior Level)
Location
Department
Data Analysis
Type
Full-Time
Salary
$100,000 - $145,000
Salary
$100,000 - $145,000
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Job Description
Posted on:
June 12, 2024
Summary:Our Data and Analytics team is seeking a full-time Data Engineer. This person will primarily focus on supporting data products by building elegant, scalable data warehousing systems; data transformations for real-time analytics; and data pipelines for Machine Learning training and inference.Responsibilities:
- Design, develop, test, implement, document, and support Data & Analytics systems that adhere to software engineering best practices
- Proactively identify and resolve operational issues with evolutionary recommendations
- Ensure testing and validation mechanisms are in place so that data transformations are verified, complete, document, and meet SLAs
- Execute projects on tight deadlines in a fast-paced matrixed organization collaborating with multiple product engineering teams
- Advocate and participate in Agile/Scrum practice to ensure process health
- Communicate effectively about data, engineering, process, and requirements
- 3+ years of data engineering and/or software development corporate experience
- Able to leverage abstraction to solve complex problems
- Experience designing and building scalable data systems
- Excellent SQL skills
- Proficient in dimensional modeling for data warehousing
- Fluent in a general-purpose programming language (preference for Python)
- Understands how to leverage both functional and object-oriented programming
- Familiarity with DevOps (preference for AWS experience)
- Great at data mining
- Extensive exposure to Agile workflows
- Exemplary communication skills (both written and oral)
- Good time management skills
- Can work iteratively, defining requirements as needed
- Extensive experience with DBT
- Extensive experience with Snowflake
- Extensive experience with columnar data formats
- Extensive experience with A/B Testing and related optimization across desktop and mobile
- Extensive experience with DevOps (preference for AWS experience)
- Experience with ML pipelines
- Experience working in Educational Technology companies and a competitive landscape
Salary & Benefits
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