Lead Data Product Engineer

2 weeks ago


San Francisco, California, United States Jobot Full time
Job Title: Lead Data Product Engineer

We are seeking a highly skilled Lead 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.

Job Summary:

The Lead Data Product Engineer will lead the development of data products and services, working closely with cross-functional teams to deliver high-quality solutions. You will be responsible for architecting and implementing data pipelines, data warehouses, and data lakes, as well as ensuring data quality, security, and compliance.

Responsibilities:
  • Design and develop large-scale data systems and pipelines
  • Lead the development of data products and services
  • Collaborate with cross-functional teams to deliver high-quality solutions
  • Architect and implement data warehouses, data lakes, and data pipelines
  • Ensure data quality, security, and compliance
  • Develop and maintain data engineering best practices and standards
Requirements:
  • 7+ years of experience as a Data Engineer writing code to extract, process, and store data
  • 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 with data quality checks, data monitoring solutions
  • Experience with orchestrating complex workflows and data pipelines using Airflow or similar tools
  • Experience with Git, CI/CD pipelines, Docker, Kubernetes
  • Experience with architecting solutions on AWS or equivalent public cloud platforms
Preferred Qualifications:
  • 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
  • Knowledge of vector databases, knowledge graphs, and other approaches for organizing and storing information
What We Offer:
  • A competitive base salary between $185k and $235k, depending on experience
  • Generous stock grant
  • Bonus of 15-20%, depending on experience
  • 100% remote work
  • 401k with dollar-for-dollar match, up to 6% of eligible earnings (base, bonus)
  • Comprehensive medical, dental, vision, and life insurance
  • 17 paid holidays per year, including 3 floating holidays
  • Annual Paid Time Off (PTO), with separate sick days
  • 12 weeks paid Parental Leave
  • Caregiver Leave
  • Adoption and Surrogacy Assistance Plan
  • Flexible workplace accommodation
  • Fun team/company events at Sports games, concerts, etc.
  • Tuition reimbursement
  • Ability to attend conferences
  • A MacBook Pro and accompanying hardware to do great work
  • A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian, and more
  • Generous company discounts
  • Eligible for donation matching to over 1.5 million nonprofit organizations


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