Senior Data Platform Engineer

Austin, TX, US • Posted 7 hours ago • Updated 25 minutes ago
Full Time
Part Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Gmail
  • Recruiting
  • Workflow
  • SLA
  • Regulatory Compliance
  • Data Engineering
  • Python
  • Apache Spark
  • PySpark
  • Google Cloud
  • Google Cloud Platform
  • Cloud Storage
  • SQL
  • Data Modeling
  • SANS
  • Data Quality

Summary

Job Description


We are hiring a Senior Data Platform Engineer for an onsite role in Austin, TX

This role requires strong hands-on experience building and operating data pipelines on Google Cloud Platform.

Key Responsibilities:

  • Design and maintain Airflow DAGs for production data workflows
  • Develop and optimize Spark / PySpark jobs on Dataproc
  • Build and optimize complex SQL transformations
  • Develop REST APIs using FastAPI Python to support data services
  • Implement robust data quality and validation frameworks
  • Monitor pipeline performance, retries, and SLA compliance

Required Skills:

  • 6+ years of data engineering experience
  • Strong Python programming skills
  • Production experience with Apache Spark PySpark
  • Experience with Airflow DAG development
  • Hands-on experience with Google Cloud Platform (Dataproc, BigQuery, Cloud Storage preferred)
  • Experience building APIs using FastAPI
  • Strong SQL and data modeling knowledge
  • Experience implementing data quality checks (schema validation, row count checks, anomaly detection)





Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10371948
  • Position Id: EIT - 6366-6639-1776185390
  • Posted 7 hours ago
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