Amazon Web Services (AWS) · 1 day ago
Sr. Data Engineer, AWS DC Bridge
Amazon Web Services (AWS) is seeking an experienced Sr. Data Engineer to lead design and implementation of data and analytics for the data center Eva AI chat-bot. The role involves architecting scalable data pipelines, guiding architectural decisions, ensuring data quality, and mentoring junior engineers while promoting best practices across the organization.
ConsultingDevOpsInformation TechnologySoftwareWeb Development
Responsibilities
Design and Build Infrastructure: Architect, construct, and maintain scalable data pipelines and ETL processes using AWS technologies to support business intelligence, analytics, and machine learning initiatives
Lead Architectural Decisions: Guide data infrastructure projects to ensure optimal performance, scalability, and cost-efficiency. Stay abreast of emerging technologies to enhance data engineering capabilities
Ensure Data Quality: Implement data quality controls, monitoring, and alerting systems to maintain data integrity, accuracy, and consistency
Optimize Systems: Enhance existing data systems and resolve complex data-related issues
Mentor and Lead: Provide technical guidance and mentorship to junior engineers through design and code reviews, adherence to coding standards
Promote Best Practices: Drive data engineering best practices across the organization, contribute to software design reviews, and establish data governance policies and procedures
Qualification
Required
Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
7+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Knowledge of distributed systems as it pertains to data storage and computing
Experience with MPP databases such as Amazon Redshift
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
Experience providing technical leadership and mentoring other engineers for best practices on data engineering
Knowledge of cloud platforms, preferably AWS (S3, EMR, Redshift, Glue, Lambda)
Preferred
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
Familiarity with data visualization tools (e.g., Tableau, QuickSight)
Benefits
Equity
Sign-on payments
Medical
Financial
Other benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
H1B Sponsorship
Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Recent News
2026-01-08
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2026-01-08
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