Analytics Engineer - AI/ML, Data Pipelines & Dashboards

Google LLC; Austin (TX); Hybrid; USD 139,000 - 172,000; Full time

Job summary

Google LLC in Austin, TX, USA is seeking a data engineering professional to own data pipelines, analytics, and web application collaboration. You will design AI/ML integrations and dashboards, partnering with teams to deliver impactful solutions.

Requirements include a CS/engineering degree with 3–5+ years in web/full-stack development, ETL, and analytics using tools like Power BI/Tableau. Hybrid schedule possible per policy.

Qualifications

• Bachelor’s degree in Computer Science, Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, or related field with 5 years of post-baccalaureate experience.
• Or Master’s degree in CS/Engineering with 3 years of related experience.
• 3 years of experience in web app development across full stack using Angular, React, or .Net; AI/ML analytics; data visualization; ETL pipelines; predictive analytics.

Responsibilities

• Own data engineering workstreams: data acquisition, pipelining, quality, prep, and warehousing.
• Collaborate with team members to deliver custom web applications.
• Design and implement advanced analytics, AI/ML integrations, and rich visualizations.
• Engage stakeholders to understand business needs and develop innovative solutions.
• Incubate, prototype, and iterate to bring new ideas to production.

Skills

Full stack web development

AI/ML analytics

Data visualization

Analytics storytelling

Stakeholder collaboration

Education

Bachelor’s degree in CS or related field

Master’s degree in CS or related field

Tools

Power BI

Tableau

Informatica

Microsoft SSIS

Databricks

scikit-learn

TensorFlow

PyTorch

Job description

Google LLC in Austin, TX, USA is seeking a data engineering professional to own data pipelines, analytics, and web application collaboration. You will design AI/ML integrations and dashboards, partnering with teams to deliver impactful solutions.

Requirements include a CS/engineering degree with 3–5+ years in web/full-stack development, ETL, and analytics using tools like Power BI/Tableau. Hybrid schedule possible per policy.