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.
Numbers & Facts
Location
San Francisco, California
Skills
Analysis Skillsunmatched
Business-to-Business (B2B) Marketingunmatched
Cloud Computingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Cross-Functionalunmatched
Data Managementunmatched
Data Processingunmatched
Data Setsunmatched
Data Warehousingunmatched
Database Administrationunmatched
Fundingunmatched
High Availabilityunmatched
High Tech Industryunmatched
Machine Learningunmatched
Metricsunmatched
Node.jsunmatched
Process Developmentunmatched
Python Programming/Scripting Languageunmatched
React.jsunmatched
SQL (Structured Query Language)unmatched
Software Developmentunmatched
User Interface/Experience (UI/UX)unmatched
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