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ICON is hiring a Senior Software Engineer, Data to design, build, and maintain the data infrastructure powering their data-driven products and services.
You will own both data engineering and data science responsibilities. On the engineering side, you'll design and build robust data pipelines to ingest, transform, and load data from internal and external sources; develop and maintain large, high-quality datasets for machine learning and analytics; build scalable data storage, processing, and serving infrastructure on cloud platforms; develop tooling for data labeling, review, and curation at scale; evaluate and manage relationships with external data partners and vendors; and contribute to CI/CD practices and engineering standards.
On the data science side, you'll partner with ML engineers and researchers to design feature pipelines and experiment infrastructure; apply statistical and analytical techniques to assess dataset quality and surface insights; develop algorithms and data models for data curation and consistency; design metrics to measure dataset health and model readiness; and translate research questions into well-defined data problems with measurable outcomes.
Minimum qualifications: 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 (S3, Redshift, BigQuery, Snowflake); familiarity with statistical analysis and core data science concepts; degree in Computer Science, Statistics, or related technical field (or equivalent); strong problem-solving skills and ability to drive projects end-to-end.
Preferred: experience building large datasets for ML training; proficiency with data science libraries (pandas, NumPy); AWS experience including CDK; workflow orchestration tools (Airflow, Prefect); modern CI/CD workflows; experience managing third-party data vendors.
