Data Engineer II, Intelligent Talent Acquisition (ITA) - Data
Amazon Emr
Amazon Web Services
Analytics
AWS
Business Intelligence
Cloud Platforms
Data
Data Architecture
Data Engineer
Data Integration
Data Lake
Data Pipeline
Data Platform
Data Processing
Data Security
Data Warehouse
Database
Databases
ETL
Integration
Reporting and Analytics
SQL
Talent Acquisition
Talent Intelligence
Job Description
What you get: an onsite Data Engineer II role in Seattle with Amazon's Intelligent Talent Acquisition Data team, a competitive salary range of USD 132,100 to 178,800 per year, and a comprehensive benefits package designed to support your health, financial security, and work-life balance. You will contribute to designing, implementing, and maintaining scalable data infrastructure that powers ITA operations in a collaborative, data-driven culture that emphasizes self-reliance.
Benefits
- Health coverage including medical, dental, vision, and prescription plans
- 401(k) retirement plan with company matching
- Paid time off
- Parental leave
- Basic life and accidental death & dismemberment insurance
- Supplemental life insurance options
- Employee Assistance Program (EAP)
- Mental health support
- Medical advice line
- Flexible spending accounts
- Adoption and surrogacy reimbursement coverage
Responsibilities
- Design and support a platform that provides secure access to large datasets
- Architect, develop, and maintain end-to-end scalable data pipelines and infrastructure
- Define the data strategy and technical roadmap for storage and pipeline design
- Collaborate with other tech teams to extract, transform, and load data from diverse sources using SQL, scripting, and AWS big data technologies
- Create and implement complex ETL pipelines and business intelligence solutions
- Partner with business owners, developers, and BI engineers to explore new data sources and deliver data
- Stay current with advances in big data technologies and run pilots to design scalable data architectures on AWS
- Empower the team for self-service by equipping members with skills to handle complex tasks independently
- Foster a culture of self-reliance by ensuring the team can troubleshoot data issues and maintain high productivity
Requirements
- 3+ years of data engineering experience
- Experience with data modeling, warehousing, and building ETL pipelines
- Proficiency in SQL
Technologies
- SQL
- AWS Redshift
- AWS S3
- AWS Glue
- AWS EMR
- AWS Kinesis
- AWS Firehose
- AWS Lambda
- IAM roles and permissions
Similar Jobs
