Remote Software Engineer, Data Platform [Staff+]

Description:

• Haus is a decision science platform focusing on the new digital privacy paradigm.
• The platform uses causal inference based econometric models to help brands understand the impact of their actions on marketing, pricing, and promotions.
• The team consists of professionals from top tech companies like Google, Netflix, Amazon, and Meta.
• Haus aims to provide high-quality decision science tooling and incrementality testing to all businesses.
• The platform works with brands like FanDuel, Sonos, and Hims & Hers, delivering significant ROI.
• The company is backed by VCs like Insight Partners, Baseline Ventures, and Haystack.
• The role involves building a scalable foundation for data onboarding, focusing on automated data ingestion pipelines and ad platform ingestion.
• Responsibilities include owning onboarding and analysis pipelines, translating model outputs into value for customers, and contributing to building a growing data organization.
• The ideal candidate is a skilled software engineer and communicator, willing to work with customers and provide tailored solutions.

Requirements:

• 7+ years of experience as a Software Engineer.
• Proficiency in building and deploying products using Python, Go, Scala, Java, or similar languages.
• Strong experience with cloud infrastructure (Google Cloud, AWS, etc) and SQL databases.
• Comfortable with third-party integrations and API usage.
• Bonus points for earlier stage startup experience, familiarity with build systems like Terraform, and knowledge of data warehouses like Snowflake, BigQuery, RedShift.
• BS/MS/PhD in Computer Science, Applied Mathematics, or related field.

Benefits:

• Competitive salary and early startup equity.
• Comprehensive health, dental, and vision insurance.
• 401k plan for retirement savings.
• Provision of necessary tools and resources for productivity.
• Opportunity to work in a small team with a significant impact on overall output.