Data Engineer

About this role

📋 Description Design, build, maintain, and troubleshoot reliable data pipelines throughout the software Develop Python-based workflows to ingest, transform, validate, and deliver structured and Build and support cloud-native data solutions using AWS services such as Glue, Lambda, S3, and Integrate data from multiple systems and sources, including APIs and various file formats, while Work with large datasets, identify performance bottlenecks, and help improve pipeline efficiency Participate in technical design discussions and contribute to decisions around data integration 🎯 Requirements 2+ years of related experience in data engineering, software development, data integration, or a Experience developing Python-based data transformations, scripts, or workflow automation Hands-on experience building, maintaining, or troubleshooting data pipelines and ETL/ELT processes Experience consuming data from APIs and working with file formats such as X12, JSON, flat files, or Experience working with AWS cloud services, particularly AWS Glue, AWS Lambda, Amazon S3, and Familiarity with working with large datasets, including identifying and troubleshooting data 🎁 Benefits Health, dental and vision insurance plans Flexible Spending Account (FSA) 401k with employer match Company Sponsored Life Insurance, Short and Long Term Disability coverage Flexible PTO + all Federal holidays off Professional development opportunities (training, certifications, conferences)

Source listing: empllo_remote