Senior Software Engineer (Data)
Posted Updated
- ICON is looking for a Software Engineer to join our growing team. In this role, you will be responsible for designing, building, and maintaining the data infrastructure that powers our data-driven products and services
- 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
- Develop tooling and services for data labeling, data review, and dataset curation at scale
- Find and evaluate new external data sources - manage relationships with data partners and vendors
- Contribute to CI/CD practices and engineering standards across the data platform
- Partner with ML engineers and researchers to design feature pipelines and experiment infrastructure
- Apply statistical and analytical techniques to assess dataset quality, identify gaps, and surface insights
- Develop efficient algorithms and data models to curate data and maintain high quality and consistency
- Design and evaluate metrics to measure dataset health and model readiness
- Translate ambiguous research questions into well defined data problems with measurable outcomes
- 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