Software Engineer, Data Onboarding Solutions

About Haus

Haus is a first of its kind decision science platform for the new digital privacy paradigm where data sharing and PII is restricted. Haus uses frontier causal inference based econometric models to run experiments and help brands understand how the actions they take in marketing, pricing and promotions impact the bottom line. Our team is comprised of former product managers, economists and engineers from Google, Netflix, Amazon and Meta who saw how costly it is to support high-quality decision science tooling and incrementality testing. Our mission is to make this technology available to all businesses, where all the heavy lifting of experiment design, data cleaning, and analysis/insights are taken care of for you. Haus is working with well known brands like FanDuel, Sonos, and Hims & Hers, and has seen more than 30x ROI by running experiments and helping brands make more profitable decisions. We are backed by top VCs like Insight Partners, 01 Advisors, Baseline Ventures, and Haystack.

What You'll Do

We are searching for software engineers to help us build a robust and scalable foundation for data onboarding, from automated data ingestion pipelines to ad platform ingestion. You will be a key part of the onboarding experience for customers. Each customer has their own constraints and requirements, you will be helping customers get the most out of their data. You will join the team that owns the onboarding and analysis pipelines that ingest customer data and deliver model results at scale for a fast growing number of customers.

The ideal candidate is a great engineer and an excellent communicator, has the desire, patience, and tact to work with customers, thrives in complex and minimally-defined systems, enjoys improving existing solutions, and is eager to learn and adapt to new technologies and patterns

Responsiblities

• Join the team responsible for gaining access to and ingesting data from customers
• Design and prototype new onboarding integrations and custom solutions
• Work with Haus Customer Success representatives, as well as directly with customers, to troubleshoot data connections
• Maintain and extend web services, APIs, data pipelines, and scripts used in automatic and manual data ingestion flows
• Participate in an on-call rotation

Qualifications

• 3+ years of experience as a Software Engineer
• Proficiency in at least one OOP language: Python, TS, Scala, Golang, Java
• Experience with data warehouses: Snowflake, BigQuery, RedShift
• Experience with data workflow orchestration: Dagster, Airflow
• Experience with data transformation tools: DBT
• Experience with cloud infrastructure: Google Cloud, AWS
• Experience interfacing with customer support functions and directly with customers
• Excellent spoken and written communicationExperience querying and managing relational databases: BigQuery, MySQL, PostgreSQL
• Experience building web services and APIs
• Interest in developing a world class product

Bonus points

• Experience with commerce platforms: Shopify, Amazon Seller / Vendor
• Earlier stage startup experience
• Experience with build systems and infrastructure management tooling like Terraform
• Academic degree in computer science or a related field

What We Offer

• Competitive salary and early startup equity
• Top of the line health, dental, and vision insurance
• 401k plan
• Provide you with the tools and resources you need to be productive (new laptop, equipment, you name it)
• Small team with big impact on the overall output

$160,000 - $185,000 a year

The salary range for this position is expected to be $160,000 - $185,000. Salary ranges are determined by role and level, and within the range individual pay is determined by additional factors including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in this job posting reflect the base salary only, and do not include equity or benefits.

Haus is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.