Senior Full Stack Developer (Data Engineering)

Remote • Posted 2 hours ago • Updated 2 hours ago
Full Time
Remote
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Engineering
  • Python
  • API
  • Data Processing
  • SQL
  • Data Modeling
  • Performance Tuning
  • Testing
  • Documentation
  • React.js
  • Elasticsearch
  • HTML5
  • Cascading Style Sheets
  • Css3
  • Flask
  • Django
  • ELT
  • Data Warehouse
  • Git
  • Automated Testing
  • Continuous Integration
  • Continuous Delivery
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud Platform
  • Google Cloud
  • Computer Science
  • Communication
  • TypeScript
  • JavaScript
  • Snow Flake Schema
  • Amazon Redshift
  • Databricks
  • Docker
  • Kubernetes
  • Terraform
  • Apache Kafka
  • Business Intelligence
  • Artificial Intelligence
  • Machine Learning (ML)

Summary

Job Title: Senior Full Stack Developer (Data Engineering)
Job Location: Remote
Job Type: Full Time


Job Description/ Requirement:

  • 5+ years of experience with Python, including API development and data processing.
  • Strong SQL skills, including complex queries, data modeling, and performance tuning.
  • 2+ years of hands-on experience with dbt, including models, testing, and documentation.
  • 3+ years of experience developing production applications using React.
  • Strong knowledge of JavaScript (ES6+), HTML5, and CSS3.
  • Experience building REST APIs using FastAPI, Flask, or Django.
  • Experience designing and maintaining ELT pipelines and data warehouses.
  • Hands-on experience with Git, code reviews, automated testing, and CI/CD.
  • Experience with at least one cloud platform: AWS, Azure, or Google Cloud Platform.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Strong communication skills and experience working directly with clients.

Preferred:

  • TypeScript, Next.js, Airflow, Dagster, or Prefect.
  • Experience with Snowflake, BigQuery, Redshift, or Databricks.
  • Knowledge of Docker, Kubernetes, Terraform, or Kafka.
  • Experience with BI tools, AI/ML pipelines, or LLM-based applications.

Interested candidates can send their updated resumes at
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: 80184148
  • Position Id: 89c662516867165adf0cef560363a5e1
  • Posted 2 hours ago
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