Senior Data Engineer

6+ years of experience in data engineering or related technical roles Strong proficiency in Python programming with experience building production data applications Solid understanding of AWS architecture and services (Lambda, S3, Glue, RDS, Redshift, etc.) Experience with Git version control and branching strategies Knowledge of SQL and relational database design principles Familiarity with data modeling techniques and data warehouse concepts Experience with RESTful APIs and data integration patterns Strong problem-solving skills and attention to detail Excellent communication skills and demonstrated ability to mentor others Currently possess or be able to obtain within 30 days of hire: AWS Cloud Practitioner certification (or higher) Currently possess or be able to obtain within 30 days of hire: CompTIA Security+ certification (or higher)

Design, develop, and maintain scalable data pipelines and ETL processes using Python and AWS services Build and deploy serverless functions using AWS Lambda for data processing and automation Implement data integration solutions connecting diverse source systems to analytics platforms Mentor junior data engineers through pair programming, code reviews, and technical coaching Collaborate with data analysts and business stakeholders to understand requirements and deliver solutions Optimize data pipeline performance, reliability, and cost efficiency in AWS environments Develop and maintain comprehensive documentation for data systems and processes Participate in on-call rotation to support production data infrastructure Contribute to the establishment of team coding standards and engineering best practices Work with Git for version control and participate in collaborative development workflows