2 months ago
Responsibilities
- Design and build data pipelines to ingest, transform, and load internal and external data.
- Develop and maintain large, high-quality datasets for machine learning models and analytical products.
- Build scalable cloud-based data storage, processing, and serving infrastructure.
- Develop tooling and services for data labeling, review, and dataset curation at scale.
- Evaluate external data sources and manage relationships with data partners and vendors.
- Partner with ML engineers and researchers on feature pipelines and experiment infrastructure.
- Assess dataset quality, identify gaps, define dataset health metrics, and evaluate model readiness.
- Develop algorithms and data models to curate data and maintain consistency.
- Translate ambiguous research questions into measurable data problems.
- Contribute to engineering standards and CI/CD practices across the data platform.
Requirements
- 7+ years of software development experience.
- 5+ years of hands-on experience managing and engineering data at scale.
- Proficiency in Python, TypeScript, and SQL.
- Experience with cloud data services and storage technologies such as S3, Redshift, BigQuery, or Snowflake.
- Familiarity with statistical analysis and core data science concepts, including feature engineering, data distributions, and model evaluation.
- Degree in Computer Science, Statistics, a related technical field, or equivalent experience.
- Strong problem-solving skills and the ability to work independently and drive projects end-to-end.
- Experience building large datasets for machine learning training and evaluation.
- Proficiency with data science libraries such as pandas and NumPy.
- AWS experience, including CDK or similar managed services.
- Experience with workflow orchestration tools such as Airflow or Prefect.
- Experience partnering with external organizations or managing third-party data vendors.
Tech Stack
Categories
Data Engineering
About ICON
ICON builds robotic 3D printing systems, proprietary concrete mixes, and software to automate construction of homes and infrastructure for builders, developers, and government agencies. The company both supplies its Vulcan printers and materials and delivers 3D‑printed projects, including housing communities with Lennar and defense/public sector structures; it also works with NASA on off‑world construction research. Founded in 2017 and headquartered in Austin, Texas, it is privately held.