Data Engineer

📋 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)