High-Level Data Engineer

5 days ago

Los Angeles, California, United States ZipRecruiter Full time

At ZipRecruiter, we are seeking a highly skilled Data Architect to join our Data Engineering team.

The ideal candidate will have a strong background in data engineering, with expertise in designing, implementing, and managing scalable data platforms and architectures.

This is a high-level technical role that requires excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced environment.

We are looking for someone who can lead and manage a team of data engineers, analysts, and other data-related staff, providing guidance, feedback, and development opportunities for team members.

Salary Range: $220,000 - $240,000 per year, plus bonus.

About the Role:

  • Design and develop scalable data platforms, considering business needs and industry trends using cutting-edge modern data stack.
  • Enforce common data design patterns to increase code maintainability, define and establish data architecture standards and best practices.
  • Responsible for data platform performance, ensuring the system performs optimally, monitoring the system, identifying performance bottlenecks, and implementing necessary improvements.
  • Implement security measures to safeguard sensitive data in the cloud environment, conduct peer code review and provide constructive feedback, mentor and guide junior team members and stakeholders on data architecture and AWS cloud services.
  • Communicate complex data concepts and strategies to non-technical stakeholders, explaining the benefits, risks, and considerations, establish and maintain effective communication with the management, development teams, and business stakeholders.
  • Create and conduct project/architecture design reviews, document the design, operation, and troubleshooting of technology platforms and procedures, review and maintain documentation to ensure it is up-to-date, accurate, and effectively used by the team.

Requirements:

  • A minimum of 8 years of experience in data engineering, with a focus on data pipeline development, data architecture, and cloud-based solutions.
  • Bachelor's or master's degree in computer science, Information Technology, Data Science, Engineering, or a related field.
  • 8+ years of experience building, leading, and managing high-performing technical teams, including hiring and onboarding top talent.
  • Proven experience designing, implementing, and managing scalable data platforms and architectures, preferably in a cloud environment (AWS).
  • Experience with AWS services, including but not limited to S3, Airflow, DBT, GLUE, and LAMBDA. Expert-level experience in Snowflake.
  • Proficient in SQL and at least one programming language such as Python, Java, or Scala.
  • Familiarity with data modeling tools and techniques.
  • Strong understanding of data warehousing concepts, ETL processes, data modeling, data governance, and data quality management. Knowledge of performance tuning and solving complex scalability issues on distributed platforms.

Benefits:

  • 100% Remote
  • Competitive salary with excellent growth opportunity; we pride ourselves in having a team that exudes leadership, high initiative, creativity, and passion.
  • Awesome medical, dental, and vision plans with heavy employer contribution.
  • Paid maternity leave and paternity leave programs.
  • Paid vacation, sick days, and holidays.
  • Company funding for outside classes and conferences to help you improve your skills.
  • Contribution to student loan debt payments after the first year of employment.
  • 401(k) -- employees can start contributing immediately. After the first year, GOBankingRates matches your contribution up to 4% of your salary.

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