Salary 💰 $80 - $95 per hour
Tech Stack Airflow Amazon Redshift BigQuery Cloud Docker ETL Linux Pandas PySpark Python SQL
About the role Design, build, and maintain ETL/ELT pipelines using Python, integrating data from APIs, flat files, and relational systems into Snowflake Develop and optimize data models and transformations (dbt) to support reporting and analytical use cases Implement data validation, testing, and quality checks to ensure accuracy and reliability across datasets Manage data workflows, orchestration, and automation using modern tools and practices (e.g., Airflow, GitHub Actions) Support downstream users and analysts by preparing clean, well-structured datasets for Power BI dashboards and reports Contribute to the development and management of containerized environments using Docker and Linux Collaborate with BI developers, analysts, and business stakeholders to deliver end-to-end data solutions Help define and promote data engineering best practices, frameworks, and standards within a growing data environment Requirements 7–10 years of data engineering experience across the full data lifecycle Strong programming experience in Python, including data libraries such as Pandas, PySpark, or SQLAlchemy Advanced SQL skills and hands-on experience developing transformations using dbt Experience with Snowflake or similar cloud data platforms (e.g., Redshift, BigQuery) Working knowledge of Linux, Docker, and GitHub Actions for environment management and CI/CD automation Understanding of data architecture concepts, including modeling, lineage, and orchestration Exposure to Power BI and experience supporting analytics or BI teams Comfortable working in a fast-paced, collaborative, global environment Copy Applicant Tracking System Keywords Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills Python ETL ELT dbt SQL Pandas PySpark Snowflake data modeling data validation
Soft skills collaboration communication problem-solving adaptability attention to detail organizational skills stakeholder management teamwork analytical thinking fast-paced work