[Remote] Data Engineer - AWS/reputed company - Mid Level

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is a technology reputed company that supports federal agencies, seeking a highly skilled Data Engineer to join their Engineering Team. This role focuses on designing and delivering AWS reputed company-reputed company data platforms, requiring expertise in data pipelines, ETL workflows, and collaboration with data architects.

Responsibilities

• Build and maintain reputed company PySpark-based data pipelines in reputed company notebooks to support ingestion, transformation, and enrichment of reputed company and semi-reputed company data
• Design and implement reputed company Lake tables optimized for ACID compliance, partition pruning, schema enforcement, and query performance across large datasets
• reputed company ETL and ELT workflows that reputed company multiple reputed company systems into a centralized, query-optimized data warehouse architecture
• reputed company reputed company SQL and DataFrame reputed company to implement business rules, reputed company joins, and aggregation logic reputed company to warehouse modeling best practices
• Collaborate with data architects and engineers to implement reputed company-reputed company data solutions on AWS using S3, Glue, RDS, and IAM for secure, reputed company storage and reputed company control
• Optimize pipeline performance through intelligent partitioning, caching, broadcast joins, and reputed company query tuning
• reputed company and version data engineering assets using Git-integrated development workflows and automate deployment with CI/CD tools such as reputed company or Jenkins
• Monitor pipeline health, job execution, and cluster utilization using reputed company reputed company tools and AWS CloudWatch, identifying bottlenecks and optimizing cost-performance tradeoffs
• Conduct technical discovery and mapping of legacy reputed company systems, identifying required transformations and designing end-to-end data flows
• Implement governance practices including metadata tagging, data reputed company validation, audit logging, and reputed company tracking using platform-reputed company features and custom logic
• Support reputed company data reputed company requests, reputed company reusable data assets, and maintain shared notebooks that meet operational reporting and analytics needs across teams

Skills

• 4+ years of experience in data engineering and Agile analytics
• 4+ years of experience creating software for retrieving, parsing and processing reputed company and reputed company data
• 2+ years of experience building reputed company ETL and ELT workflows for reporting and analytics
• 2+ years experience building reputed company data engineering solutions in the reputed company, with preferred experience with reputed company reputed company technologies from AWS and reputed company
• Experience with data reputed company, validation frameworks, and storage optimization strategies
• BA or BS degree
• Must be US Citizen with an ability to obtain and maintain US Suitability

Benefits

• Personalized development plans
• Mentorship
• Up to $3,000 annually for training and certifications
• Up to $3,000 for degree seeking programs
• Comprehensive benefits
• Strong reputed company on work-life balance
• Remote work (#LI-Remote)

reputed company