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Salary
≈ $131k – $241k per year (Estimated)
Location
In office (Austin)
Seniority
Senior · 7+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Aug 1, 2026.

Overview
Company
Impact
Profile match
ICON builds large scale construction robots that three dimensionally print house walls in concrete. Its Vulcan printer produced entire neighbourhoods in Texas. The company also works with NASA on construction technology for the Moon.

Join ICON as a Senior Software Engineer (Data) and be responsible for designing, building, and maintaining the data infrastructure that powers our data-driven products and services. You will work on robust data pipelines, large datasets, scalable data storage, and processing infrastructure on cloud platforms. You will also partner with ML engineers and researchers, apply statistical techniques, and develop efficient algorithms and data models. The ideal candidate has 5+ years of experience managing and engineering data at scale, proficiency in Python, TypeScript, and SQL, and experience with cloud data services and storage technologies.

Missions

  • Design and build robust data pipelines to ingest, transform, and load data from a variety of internal and external sources.
  • Develop and maintain large, high quality datasets that power machine learning models and analytical products.
  • Build scalable data storage, processing, and serving infrastructure on cloud platforms.

Profil recherché

- Familiarity with statistical analysis and core data science concepts (feature engineering, data distributions, model evaluation etc)

- 5+ years of hands on experience managing and engineering data at scale

- Proficiency in Python, TypeScript and SQL

- 7+ years of software development experience

- Experience with cloud data services and storage technologies (e.g., S3, Redshift, BigQuery, Snowflake)

- Strong problem solving skills with the ability to work independently and drive projects end-to-end

- Degree in Computer Science, Statistics, a related technical field, or equivalent experience

- Experience building large datasets for machine learning training and evaluation

- Proficiency with data science libraries (pandas, NumPy etc.)

- AWS experience, including CDK or similar managed services

- Experience with workflow orchestration tools (Airflow, Prefect etc)

- Experience with modern CI/CD workflows

- Experience partnering with external organizations or managing 3rd party data vendors

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