Remote Software Engineer, Data Solutions

Description:

• Haus is a decision science platform focused on the new digital privacy paradigm where data sharing and PII is restricted.
• The company utilizes causal inference based econometric models to run experiments that help brands understand the impact of their marketing, pricing, and promotions on their bottom line.
• The team consists of former product managers, economists, and engineers from notable companies like Google, Netflix, Amazon, and Meta.
• Haus aims to make high-quality decision science tooling and incrementality testing accessible to all businesses.
• The role involves building a robust and scalable foundation for data onboarding, including automated data ingestion pipelines and ad platform ingestion.
• The candidate will ensure a top-notch onboarding experience for customers, helping them maximize their first-party data.
• Responsibilities include owning onboarding and analysis pipelines, ingesting customer data, and delivering model results at scale for enterprise customers.
• The ideal candidate should be a skilled software engineer and an excellent communicator, eager to work with customers and improve existing solutions.

Requirements:

• The candidate must have 1-3+ years of experience as a Software Engineer.
• Proficiency in third-party integrations and APIs is essential.
• Experience in solving complex problems and assisting customers in leveraging the product effectively is required.
• The candidate should have experience in building and deploying products that rely on large-scale distributed systems using Python, Go, Scala, Java, or similar languages.
• Familiarity with cloud infrastructure, specifically Google Cloud or AWS, is necessary.

Benefits:

• The position offers a competitive salary and early startup equity.
• Employees receive top-of-the-line health, dental, and vision insurance.
• A 401k plan is provided.
• The company supplies the necessary tools and resources for productivity, including a new laptop and equipment.
• Employees will be part of a small team that has a significant impact on the overall output of the company.