Software Engineer – Science Platform, BE

Haus

Software Engineer building and maintaining data pipelines and orchestration systems for marketing effectiveness in a data-driven environment. Collaborating with scientists and engineers to optimize business ad spending.

Posted 7/14/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $165,000 - $205,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in building and maintaining data pipelines and statistical estimation libraries, with strong expertise in Python, SQL, and cloud-native environments. Demonstrates effective collaboration with scientists and engineers to translate research into production-grade software while ensuring reliability and performance.

Highest-signal resume keywords

Python ProficiencyData Pipeline DevelopmentSQL and Analytical DatabasesCloud-Native Environments (GCP)Workflow Orchestration Frameworks (Metaflow)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData PipelinesETL SystemsStatistical EstimationKubernetesBigQueryPandasNumpyPytest

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

MetaflowAirflowDagsterPrefectAI Development Tools

Industry Keywords

Data-Intensive ApplicationsOperational HealthMonitoringAlertingSelf-Healing Patterns

Tech Stack

Tools & technologies

AirflowBigQueryCloudETLGoogle Cloud PlatformKubernetesNumpyPandasPythonSQL

About the role

Key responsibilities & impact

Build and evolve the data pipelines that fetch, aggregate, and transform KPI data from BigQuery across multiple geographies and granularities
Extend and maintain the statistical estimation library — implement new estimators, improve standard error methods, and optimize performance for large panel datasets
Improve the Metaflow-based analysis orchestration system that schedules and executes thousands of daily experiment analyses on Kubernetes
Design for reliability: build monitoring, alerting, and self-healing patterns for pipelines that run autonomously every day
Collaborate closely with applied scientists to translate research prototypes into production-grade code with proper testing, error handling, and observability
Work with product engineers to ensure analysis results are published correctly and flow cleanly into the customer-facing API and frontend
Use AI development tools as part of your daily workflow to accelerate delivery and explore solutions
Participate in on-call rotation and own the operational health of the science platform systems

Requirements

What you’ll need

4+ years of experience building and shipping production software systems
Must have strong Python proficiency — you write clean, well-tested Python and are comfortable with the ecosystem (pandas, numpy, pytest, poetry)
Experience with data-intensive applications: you've worked with large datasets, data pipelines, or ETL systems and understand the tradeoffs
Experience with SQL and analytical databases (BigQuery, Snowflake, or similar) — you can write performant queries and understand how warehouse-scale data processing works
Comfort with cloud-native environments (GCP preferred): you understand how to deploy, monitor, and operate services in production
Experience with workflow orchestration frameworks (Metaflow, Airflow, Dagster, Prefect, or similar) is a strong plus
Track record of working effectively with AI development tools (Claude, Cursor, Copilot, or similar) — you've integrated them into your workflow and can articulate how they change the way you build software
Ability to collaborate productively with scientists and researchers — you don't need a PhD, but you should be comfortable reading statistical code, understanding experimental design concepts, and asking good questions
Excellent communication skills — you can explain technical tradeoffs clearly and work effectively across disciplines.

Benefits

Comp & perks

Flexible PTO - take time when you need it!
Equity – Startup environment with part-ownership in our successes
Top of the line health, dental, and vision insurance - multiple plan options so you can pick what fits you best
WFH stipend to support the set up you need to be productive
Events & Offsites – opportunities to connect and celebrate in real life!
Free Lunch – Grab a bite on us when you choose to work from the office (hub locations include SF, NYC and Seattle)
New Parent Leave – take time to welcome your newest Hausmate