Data Engineer
Salary Range: $100K – $135K About the Role: We’re looking for a Data Engineer who can contribute to data pipeline development end-to-end—combining strong Python fundamentals with cloud and data infrastructure experience. What You’ll Do: Build & Own Data Pipelines Design, build, and maintain scalable data pipelines for ingestion, transformation, validation, and delivery Write clean, efficient Python code using Pandas and PySpark for data processing Optimize data workflows for performance, reliability, and cost Data Onboarding & Integration Automate data onboarding workflows to increase speed and consistency Integrate client data with public and private data sources Identify and resolve data quality issues across the pipeline lifecycle Cloud & Infrastructure Utilize AWS resources to manage data infrastructure Support and improve pipeline orchestration and job execution Contribute to system reliability, monitoring, and security best practices Collaboration & Delivery Partner with engineering, data science, and product teams to deliver data solutions