Senior / Staff Software Engineer, Data Platform

Senior / Staff Software Engineer, Data PlatformTitle of Role: Senior / Staff Software Engineer, Data PlatformLocation: San Francisco, hybridCompany Stage of Funding: Venture Round - Software Development, AIOffice Type: HybridSalary: $220K-$250KCompany DescriptionWe’re representing a dynamic company at the forefront of AI and software development. This company is focused on building innovative data platforms that empower businesses to harness the power of their data. With a commitment to high ownership and product-driven engineering, they are looking for talented individuals to join their growing team.What You Will DoDesign and implement scalable data pipelines that support both real-time and batch processing.Collaborate with cross-functional teams to integrate AI and LLM technologies into data workflows.Own data products end-to-end, ensuring high performance and reliability.Optimize existing data systems for latency, cost, and throughput.Utilize technologies such as Python, Kafka, Spark, and PostgreSQL to deliver impactful solutions.Drive the architecture and design of distributed systems that handle large-scale data operations.Participate in the entire development lifecycle, from ideation to production deployment.Ideal Candidate Background7-15 years of experience in backend or data platform engineering.Proven track record of building and owning data systems that are product-facing.Strong expertise in Python and SQL, with experience in Kafka, Spark, and Airflow.Background in data-intensive environments, preferably within startups or high-growth companies.Familiarity with OLAP systems like ClickHouse and cloud platforms such as AWS or GCP.PreferredExperience integrating AI or LLMs into data workflows.Demonstrated ability to handle complex, ambiguous data challenges effectively.Excellent communication skills to liaise between technical and product teams.Compensation and BenefitsThe base salary for this role ranges from $220K to $250K, complemented by competitive equity options. This is an opportunity to join a company that values innovation and offers a collaborative work environment.

• 7-15 years of experience in backend or data platform engineering.
• Proven track record of building and owning data systems that are product-facing.
• Strong expertise in Python and SQL, with experience in Kafka, Spark, and Airflow.
• Background in data-intensive environments, preferably within startups or high-growth companies.
• Familiarity with OLAP systems like ClickHouse and cloud platforms such as AWS or GCP.

Preferred

• Experience integrating AI or LLMs into data workflows.
• Demonstrated ability to handle complex, ambiguous data challenges effectively.
• Excellent communication skills to liaise between technical and product teams.

The base salary for this role ranges from $220K to $250K, complemented by competitive equity options. This is an opportunity to join a company that values innovation and offers a collaborative work environment.

We’re representing a dynamic company at the forefront of AI and software development. This company is focused on building innovative data platforms that empower businesses to harness the power of their data. With a commitment to high ownership and product-driven engineering, they are looking for talented individuals to join their growing team.