ICON

ICON

Senior Software Engineer, Data

Austin, Texas, United States · Senior · Contract

Sponsorship not specifiedDetected 56 days ago
TypeScriptPythonAlgorithmsBigQuerySnowflakeRedshiftAWSCI/CDMachine LearningPandasNumPyAirflowData EngineeringData ScienceAI OrchestrationStatisticsResearchProblem Solving

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • ICON is looking for a Software Engineer to join our growing team.
  • ICON is an equal opportunity employer committed to fostering an innovative, inclusive, diverse and discrimination-free work environment.
  • Employment with ICON is based on merit, competence, and qualifications.

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

Nice to have

  • Preferred Skills and Experience

Skills

  • Contribute to CI/CD practices and engineering standards across the data platform.
  • Apply statistical and analytical techniques to assess dataset quality, identify gaps, and surface insights.
  • Translate ambiguous research questions into well defined data problems with measurable outcomes.

Company info

  • As part of our compliance with these obligations, the Company invites you to voluntarily self-identify as set forth below.

This listing is sourced directly from ICON's careers page and normalized into a canonical job model.