Haus Analytics, Inc.
[Senior / Staff] Software Engineer, Data Platform
Haus Analytics, Inc., Jackson, Mississippi, United States
About Haus
Haus is a first-of-its-kind marketing decision science platform built for the new digital privacy era, where data sharing and PII are restricted. Using frontier causal inference-based econometric models to run experiments, we help brands measure the business impact of marketing, pricing, and promotions with scientific precision. Over $360B is spent annually on paid advertising in the US alone, and the famous quote “half the money I spend on advertising is wasted; the trouble is I don't know which half” still rings true. Haus helps marketers identify which half, and reallocate it to maximize growth.
With a founding team of former product managers, economists, and engineers from Google, Netflix, Meta, and Amazon, we make high-quality decision science tooling and incrementality testing accessible to businesses of all sizes—automating the heavy lifting of experiment design, data processing, and insights generation. Haus works with leading brands like FanDuel, Sonos, and Dr. Squatch, delivering ROI gains as high as 30x.
Haus is well-capitalized and backed by top-tier VCs, including Insight Partners, Baseline Ventures, Haystack, and others. We're honored that Haus has once again been recognized and has made the list for
2025's exceptional startups
! What you'll do: This is a unique opportunity to help us build robust and scalable systems that handle data workloads at Haus. The Data Platform includes systems that power the Haus product and are at the heart of what we do. The ideal candidate is somebody who loves working with data, is a great software engineer, and an excellent communicator. You will design, scale, and maintain the systems that support the Haus platform and enable data-driven decision-making at Haus.
Responsibilities Build data solutions on top of Google Cloud Platform using Python and other languages as appropriate.
Contribute to the technical direction and development of Haus’ data infrastructure, tools, and applications.
Create and maintain data pipelines and foundational datasets to support analytics, modeling, experimentation, and product/business needs.
Work closely with science, machine learning, and engineering teams to support the development of new data pipelines.
Develop and support data quality checks at scale, implementing alerting and anomaly detection as necessary
Create scalable dashboards and reports to support business objectives and enable data-driven decision making
Partner with data scientists, engineers, and product teams to accomplish all of the above!
Qualifications 4-7+ years of experience as a Software Engineer.
Experience building and deploying products that rely on large-scale distributed systems in Python or Go, Scala/Java, or other similar languages: it makes you uncomfortable deploying something for end-users without thinking about things like performance metrics, monitors and dashboards, graceful degradation and feature flags.
Third party integrations - API are your bread and butter.
Experience with cloud infrastructure (Google Cloud, AWS, etc).
Experience working with SQL databases.
Bonus points Earlier stage startup experience.
Experience with build systems and infrastructure management tooling like Terraform.
Experience with data warehouses: Snowflake, BigQuery, RedShift.
BS/MS/PhD in Computer Science, Applied Mathematics or a related field.
What we offer Competitive salary and 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
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.
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With a founding team of former product managers, economists, and engineers from Google, Netflix, Meta, and Amazon, we make high-quality decision science tooling and incrementality testing accessible to businesses of all sizes—automating the heavy lifting of experiment design, data processing, and insights generation. Haus works with leading brands like FanDuel, Sonos, and Dr. Squatch, delivering ROI gains as high as 30x.
Haus is well-capitalized and backed by top-tier VCs, including Insight Partners, Baseline Ventures, Haystack, and others. We're honored that Haus has once again been recognized and has made the list for
2025's exceptional startups
! What you'll do: This is a unique opportunity to help us build robust and scalable systems that handle data workloads at Haus. The Data Platform includes systems that power the Haus product and are at the heart of what we do. The ideal candidate is somebody who loves working with data, is a great software engineer, and an excellent communicator. You will design, scale, and maintain the systems that support the Haus platform and enable data-driven decision-making at Haus.
Responsibilities Build data solutions on top of Google Cloud Platform using Python and other languages as appropriate.
Contribute to the technical direction and development of Haus’ data infrastructure, tools, and applications.
Create and maintain data pipelines and foundational datasets to support analytics, modeling, experimentation, and product/business needs.
Work closely with science, machine learning, and engineering teams to support the development of new data pipelines.
Develop and support data quality checks at scale, implementing alerting and anomaly detection as necessary
Create scalable dashboards and reports to support business objectives and enable data-driven decision making
Partner with data scientists, engineers, and product teams to accomplish all of the above!
Qualifications 4-7+ years of experience as a Software Engineer.
Experience building and deploying products that rely on large-scale distributed systems in Python or Go, Scala/Java, or other similar languages: it makes you uncomfortable deploying something for end-users without thinking about things like performance metrics, monitors and dashboards, graceful degradation and feature flags.
Third party integrations - API are your bread and butter.
Experience with cloud infrastructure (Google Cloud, AWS, etc).
Experience working with SQL databases.
Bonus points Earlier stage startup experience.
Experience with build systems and infrastructure management tooling like Terraform.
Experience with data warehouses: Snowflake, BigQuery, RedShift.
BS/MS/PhD in Computer Science, Applied Mathematics or a related field.
What we offer Competitive salary and 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
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.
#J-18808-Ljbffr