Data Engineer (Remote | US Company | $2,500–$3,500/month)
🌍 100% Remote | Global Candidates Welcome | Work with a US-Based Team
🚀 About the Role
We are hiring a Data Engineer (4+ years experience) to join a fast-growing US-based business.
You will work on building and maintaining scalable data pipelines and modern data platforms that power analytics, reporting, and business decisions.
This is a fully remote, long-term opportunity working with a global team and modern technologies.
🔥 Why You Should Apply
- Work directly with a US-based company
- 100% remote (work from anywhere)
- Competitive salary: $2,500 – $3,500/month
- Work with modern stack: Spark, Kafka, AWS
- Long-term, stable opportunity
- Exposure to real-world production data systems
🛠️ Key Responsibilities
- Build and maintain ETL/ELT data pipelines
- Develop data processing workflows using Python and Apache Spark (PySpark)
- Work with AWS (S3, Redshift, Glue, etc.) or similar cloud platforms
- Design and manage data lakes and data warehouses
- Implement data ingestion pipelines (batch and streaming)
- Use Apache Airflow to schedule and manage workflows
- Ensure data quality, validation, and monitoring
- Optimize pipelines for performance and cost efficiency
- Troubleshoot and fix data-related production issues
- Collaborate with a remote US-based team
✅ Required Qualifications
- 4+ years of experience in Data Engineering
- Strong experience with Python and SQL
- Hands-on experience with Apache Spark (PySpark preferred)
- Experience with AWS, Azure, or GCP
- Familiarity with data lakes and data warehouses
- Experience with Airflow or similar tools
- Ability to work in a remote, distributed team
- Good communication skills (English)
⭐ Preferred (Nice to Have)
- Experience with Kafka or streaming systems
- Familiarity with Databricks or Delta Lake
- Knowledge of Docker, CI/CD, or Terraform
- Experience with data quality and monitoring tools
📌 Important (Read Before Applying)
To help us filter applications, please include the word:
👉 PIPELINE in your application
Applications without this may not be reviewed.
🌟 Who This Role Is Perfect For
- Mid-level Data Engineers looking to work with a US company
- Engineers experienced in real-world data pipelines
- Candidates seeking a stable remote role with modern tech stack
📩 How to Apply
Submit your profile with:
- Your experience with Python, Spark, and Cloud
- Examples of data pipelines you’ve built
- Your availability and current location