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Closed on July 3, 2026.
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Data Engineer II, Professional Services Strategy & Operation, Analytics & Insights Center (PAIC)
Analytics
AWS
Aws Glue
Big Data
Bigdata
Cloud
Data
Data Analysis
Data Analytics
Data Engineer
Data Integration
Data Pipeline
Data Processing
Data Warehouse
Database
EMR
ETL
Spark
SQL
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Job Description
The Data Engineer II role within AWS Professional Services Strategy & Operation (PAIC) focuses on building and scaling data products and pipelines, owning the data platform to enable analytics and AI/ML capabilities for internal customers.
Key Details
- Location: Irvine, CA (onsite)
- Salary: USD 132,100 - 178,800 per year
- Experience: 3+ years
- Education: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
Responsibilities
- Design and maintain ETL pipelines with robust monitoring and alerting
- Create data models optimized and aggregated for business needs
- Develop and optimize data tables with best practices for partitioning, compression, and parallelization
- Build scalable data integration pipelines using SQL, Python, and AWS services such as Glue, Lambda, and Step Functions
- Implement data structures following best practices in data modeling, ETL/ELT processes, and SQL/Redshift
- Interface with business customers to gather requirements and deliver complete reporting solutions
- Continuously improve reporting and analysis processes and automate self-service support for customers
- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies
- Collaborate with business owners, analysts, and BI Engineers to explore new data sources and deliver new data products
Requirements
- 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
- Experience with SQL and Python scripting
- Experience in data applications using large-scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive)
Technologies
- SQL
- Python
- AWS Glue
- AWS Lambda
- AWS Step Functions
- Redshift
- S3
- EMR
- Kinesis
- FireHose
- Hive
- Hadoop
- Spark
- Pig
- Elasticsearch
Benefits
- 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
- Parental leave
- Sign-on payments and restricted stock units (RSUs)
A Day in the Life
- Work on an analytics platform spanning a data warehouse and data lake, supporting reporting, advanced analytics, and generative AI for a large global organization
- Build and maintain data pipelines, optimize queries, and ensure platform reliability
- Collaborate with data engineers, BI engineers, and data scientists to deliver accurate, timely data
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