Senior Data Platform Engineer - Build Scalable ML Pipelines

Industrious Ventures; Austin (TX); On-site; USD 120,000 - 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. You will design robust data pipelines, storage, and services on cloud platforms to enable scalable analytics and AI applications.

You will collaborate with ML engineers and researchers to create feature pipelines, assess data quality, and surface insights. The role requires translating research questions into measurable data problems and delivering end-to-end data

Qualifications

• 7+ years of software development experience.
• 5+ years of hands-on data engineering experience at scale.
• Proficiency with Python, TypeScript and SQL.
• Experience with cloud data services and storage (S3, Redshift, BigQuery, Snowflake).
• 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.

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.
• 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

Python

TypeScript

SQL

Education

Bachelor's degree in Computer Science or related field

Tools

S3

Redshift

BigQuery

Snowflake

Airflow

Prefect

Job description

ICON is seeking a Software Engineer to design, build, and maintain data infrastructure powering data-driven products and services. You will design robust data pipelines, storage, and services on cloud platforms to enable scalable analytics and AI applications.

You will collaborate with ML engineers and researchers to create feature pipelines, assess data quality, and surface insights. The role requires translating research questions into measurable data problems and delivering end-to-end data