Senior Data Product Engineer
1 day ago
We are seeking a highly skilled Senior Data Product Engineer to join our team at Jobot. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining large-scale data systems and pipelines.
Responsibilities- Design and implement data pipelines using complex SQL, PySpark, Pandas, and similar frameworks
- Develop and maintain data quality checks and data monitoring solutions
- Orchestrate complex workflows and data pipelines using Airflow or similar tools
- Collaborate with cross-functional teams to deliver data projects
- Lead a small team of data engineers and provide guidance on data engineering best practices
- 7+ years of experience as a Data Engineer writing code to extract, process, and store data within different types of data stores
- 2+ years of leading a cross-functional team to deliver data projects
- Strong programming skills in Python and understanding of core computer science principles
- Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks
- Knowledge of relational and dimensional data modeling concepts to build data products
- Experience in assessing and implementing new data tools to enhance the data engineering stack
- Knowledge of data mesh concepts
- Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science
We offer a competitive salary between $185,000 and $235,000 per year, a generous stock grant, and a bonus of 15-20% depending on experience. You will also have the opportunity to work from home 100% of the time and enjoy a comprehensive benefits package, including 401k with dollar-for-dollar match, comprehensive medical, dental, vision, and life insurance, and 17 paid holidays per year.
Interested in learning more? Click our Jobot logo and follow our LinkedIn page to stay up-to-date on our latest job openings and company news.
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