AWS Worldwide Field Enablement (WWFE) is looking for a Data Engineer helping us evolving our data infrastructure to next phase of providing insights through AI based solutions. You'll create data solutions that will optimize existing workflows providing better insights. You will have access to entire AWS AI stack to create next generation data solutions for AI based productivity tools and automation.
Key job responsibilities
- Design, build, and optimize logical data models and data pipelines for complex datasets
- Own ongoing data quality and create self-service access to datasets for business intelligence, AI based tools and Model Context Protocols (MCP)
- Improve metadata for better AI results
- Collaborate with Program Managers, Technical Program Managers and other Data Engineers to design stable, performant data solutions
- Write secure, stable, testable, and maintainable code with minimal defects
- Apply appropriate data design approaches and make judicious trade-offs without over-engineering
- Optimize resource usage including system hardware, data storage, query optimization, and AWS infrastructure
- Participate actively in code reviews, design discussions, and team planning
- Resolve root causes of complex problems and balance customer requirements with team needs
- Stay current on distributed systems technologies (MapReduce, MPP architectures, NoSQL databases)
About the team
BASIC QUALIFICATIONS
- 2+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Bachelor's degree or above in a quantitative/technical field such as computer science, engineering, statistics
- Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model
- Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of AWS Infrastructure
- Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, VA, Arlington - 101,300.00 - 160,000.00 USD annually
USA, WA, Seattle - 101,300.00 - 160,000.00 USD annually