Senior Software Engineer, Data

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.

Data Engineering Responsibilities

• 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.

Data Science Responsibilities

• 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.

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 and storage technologies (e.g., S3, Redshift, BigQuery, Snowflake).
• Familiarity with statistical analysis and core data science concepts (feature engineering, data distributions, model evaluation etc).
• Degree in Computer Science, Statistics, a related technical field, or equivalent experience.
• Strong problem solving skills with the ability to work independently and drive projects end-to-end.

Preferred Skills and 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.

Furthermore, as a federal government contractor, the Company maintains an affirmative action program which furthers its commitment and complies with recordkeeping and reporting requirements under certain federal civil rights laws and regulations, including Executive Order 11246, Section 503 of the Rehabilitation Act of 1973 (as amended) and the Vietnam Era Veterans' Readjustment Assistance Act of 1974 (as amended).

Headhunters and recruitment agencies may not submit candidates through this application. ICON does not accept unsolicited headhunter and agency submissions for candidates and will not pay fees to any third-party agency without a prior agreement with ICON.

As part of our compliance with these obligations, the Company invites you to voluntarily self-identify as set forth below. Provision of such information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your employment or subject you to any adverse treatment. Any and all information provided will be considered confidential, will be kept separate from your application and/or personnel file, and will only be used in accordance with applicable laws, orders and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement purposes.

Internet Applicant Employment Notices