Senior Data Engineer

Trilyon
Austin, TX
Category Engineering
Job Description
Role Overview

We are looking for an experienced Data Engineer to join a high-tech engineering organization in Austin, TX on a 12-month contract. This is a strong opportunity for a senior data engineering professional who enjoys working at the intersection of data architecture, cloud platforms, enterprise data pipelines, AI/ML infrastructure, and software engineering.

What You Will Do

Design and develop scalable enterprise data platforms and pipelines, build ETL/ELT, data integration, data warehouse and data lake solutions, drive data architecture, database design and data modeling initiatives, develop solutions using SQL and Python, work with Snowflake, Databricks, NiFi and PostgreSQL, leverage cloud platforms including Azure, AWS or GCP – Azure preferred, support AI/ML data infrastructure and modern data/AI initiatives, implement CI/CD and Infrastructure-as-Code automation, collaborate with data scientists, semiconductor engineers, business stakeholders and IT teams, help establish technical direction and mentor other team members.

Why It Might Be a Fit

We are looking for a senior data engineering professional with 8–10+ years of experience in data engineering, system design, database design, data modeling or data architecture, strong hands-on experience with SQL and Python, experience with Snowflake, Databricks, NiFi and/or PostgreSQL, 5+ years of cloud experience with Azure, AWS or GCP, experience building enterprise-scale data platforms and pipelines, knowledge of CI/CD and Infrastructure-as-Code, strong communication and stakeholder collaboration skills, semiconductor or high-tech industry experience is highly preferred, experience working with international/global teams is a plus.

Requirements

  • 8–10+ years of experience in data engineering, system design, database design, data modeling or data architecture
  • Strong hands-on experience with SQL and Python
  • Experience with Snowflake, Databricks, NiFi and/or PostgreSQL
  • 5+ years of cloud experience with Azure, AWS or GCP
  • Experience building enterprise-scale data platforms and pipelines
  • Knowledge of CI/CD and Infrastructure-as-Code
  • Strong communication and stakeholder collaboration skills
  • Semiconductor or high-tech industry experience is highly preferred
  • Experience working with international/global teams is a plus
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