Staff Engineer – Data & Inference

Recruiting From Scratch

  • San Francisco, California
  • 30+ days ago
  • $200,000–$230,000 Per Year

Highlights

Analyze large datasets using SQL and tools like dbt and Clickhouse to derive meaningful metrics and drive decision-making. Design and implement robust data pipelines using technologies such as Kafka, Spark, and Airflow to support real-time data processing.

Numbers & Facts

LocationSan Francisco, California
Salary$200,000–$230,000 Per Year

Description

Staff Engineer – Data & Inference

  • Title of Role: Staff Engineer – Data & Inference
  • Location: San Francisco, hybrid
  • Company Stage of Funding: Series A — Software Development
  • Office Type: Hybrid
  • Salary: $200K–$230K

Company Description

We're representing a dynamic company that is revolutionizing the B2B marketing landscape through hyper-precise targeting. With a strong focus on leveraging data and advanced technologies, this company is poised for significant growth and innovation in the software development industry.

What You Will Do

  • Design and implement robust data pipelines using technologies such as Kafka, Spark, and Airflow to support real-time data processing.
  • Develop and optimize machine learning models that drive actionable insights for B2B marketers.
  • Collaborate with cross-functional teams to integrate data solutions into existing systems, enhancing overall product functionality.
  • Utilize Kubernetes and CI/CD practices to streamline deployment processes and ensure high availability of services.
  • Write efficient, maintainable code in Python and NodeJS, contributing to both backend and frontend development efforts.
  • Analyze large datasets using SQL and tools like dbt and Clickhouse to derive meaningful metrics and drive decision-making.

Ideal Candidate Background

  • 6–12 years of experience in data engineering or machine learning engineering roles.
  • Proficiency in Python, with strong experience in frameworks and libraries relevant to data processing.
  • Hands-on experience with data orchestration tools such as Airflow and stream processing technologies like Kafka.
  • Familiarity with cloud-native technologies, particularly Kubernetes, and experience in CI/CD methodologies.
  • Solid understanding of database management and querying languages, particularly SQL.

Preferred

  • Experience with modern data warehousing solutions and tools like Flink and Motherduck.
  • Familiarity with frontend technologies such as React to contribute to full-stack development efforts.
  • Previous involvement in B2B marketing or data-driven enterprise solutions.

Compensation and Benefits

This role offers a competitive salary ranging from $200K to $230K, along with strong equity options, providing a compelling opportunity for growth and investment in your future.

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