Senior Python Data Engineer

Intellect Group • United State
Remote
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AI Summary

Join a fast-growing tech-driven company as a Senior Python Data Engineer to build scalable data systems and work with large, complex datasets. Design, build, and maintain data pipelines to support analytics and business operations. Collaborate with data scientists, analysts, and engineers to deliver high-quality data products.

Key Highlights
Design and maintain scalable data pipelines
Work with large datasets using PySpark and Pandas
Collaborate with data scientists and engineers
Key Responsibilities
Design, build, and maintain scalable data pipelines
Work with large datasets using PySpark and Pandas
Develop and optimize workflows using Airflow and DBT
Manage and integrate data within a Snowflake environment
Build reliable data solutions on AWS
Collaborate with data scientists, analysts, and engineers
Technical Skills Required
Python PySpark Pandas Airflow DBT Snowflake AWS
Benefits & Perks
Competitive salary and performance-based bonus opportunities
Health, dental, and vision insurance
401(k) with company match
Nice to Have
Experience working in a data-heavy or analytics-driven company
Familiarity with real-time or streaming data pipelines
Exposure to modern data architecture patterns and best practices

Job Description


Role: Python Data Engineer

Location: Fully Remote

Salary: $130k-$150k (DOE)


Are you passionate about building scalable data systems and working with large, complex datasets? Join a fast-growing, tech-driven company that is transforming how data is processed, analyzed, and leveraged to drive business decisions.


We’re looking for a Python Data Engineer who thrives in a modern data environment and enjoys building robust pipelines, optimizing performance, and working across the full data lifecycle.


What You’ll Be Doing:

  • Design, build, and maintain scalable data pipelines to support analytics and business operations.
  • Work with large datasets using PySpark and Pandas for data processing and transformation.
  • Develop and optimize workflows using Airflow and DBT to ensure efficient data orchestration.
  • Manage and integrate data within a Snowflake environment.
  • Build reliable data solutions on AWS, ensuring performance, scalability, and security.
  • Collaborate with data scientists, analysts, and engineers to deliver high-quality data products.
  • Ensure data quality, integrity, and accessibility across systems.
  • Continuously improve data architecture and implement best practices across the data stack.


You Will Need:

  • Strong experience working with Python for data engineering and processing.
  • Hands-on experience with PySpark and Pandas.
  • Proven experience with Snowflake, Airflow, and DBT.
  • Experience working within AWS cloud environments.
  • Strong understanding of data modeling, ETL/ELT processes, and pipeline optimization.
  • Experience working with large-scale datasets in production environments.
  • Strong problem-solving skills and attention to detail.
  • Ability to work independently in a fully remote setting.


It’s a Bonus If You Have:

  • Experience working in a data-heavy or analytics-driven company.
  • Familiarity with real-time or streaming data pipelines.
  • Exposure to modern data architecture patterns and best practices.
  • Experience collaborating in fast-paced or startup environments.


The Benefits:

  • Competitive salary and performance-based bonus opportunities
  • Health, dental, and vision insurance
  • 401(k) with company match
  • Unlimited PTO
  • Collaborative and innovative team culture
  • Access to modern tools and technologies
  • Career growth opportunities as the company scales


This is a fantastic opportunity to join a innovative, fast growing company where your work will directly impact how data is leveraged at scale.


Apply now or drop me a message for more details! 🚀


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