Data Engineer - Remote

Overview

A Data Engineer position focused on designing, building, and operating ETL pipelines, automating data processes, and utilizing Big Data technologies.

In Short

• Design and operate ETL pipelines at scale.
• Automate processes related to data and machine learning products.
• Develop API/tools for data products.
• Build knowledge graphs and system diagrams.
• Use Python, Spark, and BigQuery for data platform development.
• Implement CI/CD for ETL applications.
• Profile, debug, and optimize applications.
• Remote work permitted within the U.S. only.
• Requires a Bachelor’s degree and five years of experience.
• Flexible work hours, Monday through Friday.

Requirements

• Bachelor of Science in Computer Science or related field.
• Five years of experience as a Data Engineer or related role.
• Experience with Confluence, JIRA, GIT, and CI/CD pipelines.
• Knowledge of Agile methodologies.
• Proficiency in Java and Python.
• Experience with ETL tools like Apache Airflow.
• Familiarity with Docker or Kubernetes.
• Experience with databases such as MySQL, Postgres, or Oracle.
• Knowledge of distributed processing with Apache Beam or Spark.
• Experience with machine learning tools like Tensorflow, Keras, or Scikit-Learn.
• Cloud experience, particularly with Google Cloud.

Benefits

• Flexibility to work remotely from anywhere in the U.S.
• Comprehensive insurance plans and wellness programs.
• Career growth opportunities with access to new tools and technologies.
• Strong financial foundation and total rewards beyond the paycheck.
• Team-oriented work culture with recognition programs.