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

Remote, USAFull-timePosted 2026-07-31

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

  • reputed company is an information technology company that offers cybersecurity and project management services. It was founded in 2002, and is headquartered in Reston, Virginia, USA, with a workforce of 201-500 employees. Its website is http://myacuity.com.
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