Jobs · Information Technology

Data Engineer - Data & AI, Supply Chain (Remote)

Stage 4 Solutions · United States · 1 mo ago
RemoteRemoteInformation Technology$35/hrFull-time

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform (GCP).
  • Build and optimize data solutions using Dataproc, BigQuery, SQL, and dbt.
  • Develop and maintain scalable data models that support analytics, reporting, and AI initiatives.
  • Ingest, transform, validate, and publish data from multiple enterprise source systems.
  • Partner with Product Managers, Business Analysts, Data Architects, and Solution Architects to deliver business-driven data solutions.
  • Develop reusable data transformation components following engineering standards and best practices.
  • Optimize data processing performance, reliability, and cost efficiency.
  • Perform unit testing, data validation, troubleshooting, and production support to ensure high-quality data solutions.
  • Participate in Agile ceremonies including sprint planning, backlog refinement, and code reviews.
  • Create and maintain technical documentation including data flows, solution designs, and implementation details.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
  • 4+ years of Data Engineering experience.
  • Hands-on experience building cloud-native data solutions on Google Cloud Platform (GCP).
  • Strong Experience With Dataproc, BigQuery, SQL, and dbt (Data Build Tool).
  • Experience designing and building scalable ETL/ELT pipelines.
  • Strong knowledge of dimensional data modeling and analytical data warehouse concepts.
  • Experience working with Git-based version control and CI/CD practices.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration skills.

Preferred Qualifications

  • Experience with Apache Airflow.
  • Experience With Apache Kafka Or Other Event Streaming Platforms.
  • Experience with PySpark.
  • Python programming experience for data engineering and automation.
  • Knowledge of data quality, metadata management, and data governance principles.

Benefits

Health benefits and a 401K are offered.

Pay

$35/hr. - $40.50/hr.

Schedule

40 hours per week, 18-month contract (possible extension), a remote role.

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