Analytics Engineer
$139K–$172K
Austin, TX, USA · Full-time · Posted Oct 12, 2026
- Experience
- 5 years with a bachelor’s degree, or 3 years with a master’s degree; additionally, 3 years of experience in each of the specified technical areas.
- Education
- Bachelor’s degree in Computer Science, Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, or a related field; alternatively, a master’s degree in one of those fields or a related field.
About the job
Builds data engineering pipelines and analytics solutions, including custom web applications, AI/ML integrations, visualizations, and predictive analytics.
What you'll do
- Own data acquisition, pipelining, quality, preparation, and warehousing workstreams.
- Collaborate on custom web applications and create advanced analytics, AI/ML integrations, and data visualizations.
- Work with stakeholders to develop, prototype, and bring solutions to production.
What they ask for
- Bachelor’s degree in a specified or related field and 5 years of progressive post-baccalaureate experience, or a relevant master’s degree and 3 years of experience.
- 3 years of experience in full-stack web application development and interactive visualizations.
- 3 years of experience developing AI/ML analytics and integrating them into reporting; designing dashboards; and developing ETL pipelines.
- 3 years of experience delivering predictive analytics and forecasting.
Pay
$139,000 - $172,000 USD base salary
Tools
Angular, React, .Net, PowerBi, Tableau, Informatica, Microsoft SSIS, Databricks
AI focus
Develop AI/ML analytics and integrate them into reporting; deliver predictive analytics and forecasting using technologies such as scikit, TensorFlow, and PyTorch.
Model-written summary · the original posting is authoritative