Senior Data Engineer, MVP Analytics & Data Engineering

World's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.
Arlington, VA, USAJessup, MD, USA
$139,100 - $240,500
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Enterprise SaaS · Cloud

Description For Senior Data Engineer, MVP Analytics & Data Engineering

Amazon Web Services (AWS), Worldwide Public Sector (WWPS), MVP Analytics & Data Engineering Team (MADE) is seeking a Senior Data Engineer to join their innovative team. This role combines technical expertise with strategic thinking, requiring deep knowledge of data engineering fundamentals and cloud technologies. The position offers an opportunity to work with cutting-edge AWS technologies while developing scalable data solutions for production systems.

The role involves designing and implementing large-scale data infrastructure using technologies like Amazon Redshift and Aurora Postgres. You'll be responsible for creating robust data pipelines, optimizing query performance, and managing critical AWS resources. Working closely with business intelligence engineers and analysts, you'll translate complex business requirements into efficient technical solutions.

AWS offers an inclusive culture where diversity is celebrated through employee-led affinity groups and ongoing learning experiences. The company provides excellent career growth opportunities through mentorship and knowledge-sharing initiatives. With competitive compensation including base pay ranging from $139,100 to $240,500 depending on location, plus equity and comprehensive benefits, AWS demonstrates its commitment to employee value.

This position requires TS/SCI security clearance with polygraph and US citizenship, indicating its strategic importance. You'll be part of AWS's mission to continue pioneering cloud computing innovation while serving the public sector. The role offers the perfect blend of technical challenge, career growth, and meaningful impact in a supportive environment that values work-life harmony.

Last updated 14 hours ago

Responsibilities For Senior Data Engineer, MVP Analytics & Data Engineering

  • Develop and manage big data systems
  • Scale existing infrastructure and incorporate new data sources
  • Build robust data pipelines for production level systems
  • Design and develop data solutions using Amazon Redshift and Amazon Aurora Postgres
  • Create technical design documentation
  • Implement data structures for business intelligence analytics
  • Manage AWS resources including EC2, Redshift, S3
  • Participate in full development lifecycle
  • Translate business requirements into automated data engineering processes

Requirements For Senior Data Engineer, MVP Analytics & Data Engineering

Python
PostgreSQL
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
  • 5+ years of industry experience
  • 4+ years experience with ETL/ELT processes, database technologies, and data modeling
  • Experience with relational database technology
  • Experience building highly available, distributed systems
  • 4+ years coding experience with modern programming languages
  • Advanced SQL skills with query performance tuning
  • Experience with massively parallel processing data technology
  • Experience with Python-based data analysis libraries
  • Active TS/SCI security clearance with polygraph
  • US Citizenship required

Benefits For Senior Data Engineer, MVP Analytics & Data Engineering

Medical Insurance
Equity
Mental Health Assistance
  • Medical, financial, and other benefits
  • Equity compensation
  • Sign-on payments
  • Mentorship and career growth opportunities
  • Work-life harmony
  • Inclusive team culture

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