Senior Data Platform Engineer - Scale Pipelines & ML Infra

ICON; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

ICON is seeking a Software Engineer to design, build, and maintain data infrastructure powering data-driven products and services in Austin. You will craft robust data pipelines, maintain large datasets, and build scalable cloud storage and processing systems.

You will collaborate with ML teams on feature pipelines, apply statistical methods to assess data quality, and help shape data models and metrics for model readiness.

Qualifications

• 7+ years of software development experience.

Responsibilities

• Design and build robust data pipelines to ingest, transform, and load data from internal and external sources.
• Develop and maintain large, high quality datasets that power ML 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 and 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.

Skills

Software dev

Data at scale

Problem solving

Independent work

Communication

Education

CS/Statistics degree

Tools

Python

TypeScript

SQL

AWS S3

Redshift

BigQuery

Snowflake

Pandas

NumPy

Airflow

Prefect

AWS CDK

CI/CD

Job description

ICON is seeking a Software Engineer to design, build, and maintain data infrastructure powering data-driven products and services in Austin. You will craft robust data pipelines, maintain large datasets, and build scalable cloud storage and processing systems.

You will collaborate with ML teams on feature pipelines, apply statistical methods to assess data quality, and help shape data models and metrics for model readiness.