Data Engineer

Job Description

Description

Key Tasks:

• Play a defining role in shaping our data platform strategy and enabling the delivery of critical data and analytics capabilities across domains; You are a deep AWS data platform expert and thought leader who accelerates the adoption of modern data engineering practices while staying current on industry innovations, emerging tooling, and evolving cloud-native data patterns
• Be a visionary, role model, mentor, and evangelist for data platform excellence
• Coach and strengthen the technical expertise of our engineering and product community, establishing yourself as the go-to authority on AWS data architecture, Lakehouse design, streaming data pipelines, and the data infrastructure required to power reliable analytics and AI-driven logistics outcomes
• Leverage AI as a force multiplier in your own work and in the work of the teams you lead – accelerating data pipeline development, improving data quality analysis, and enabling faster, higher-confidence architectural decisions
• Drive adoption of modern AWS data technologies, promote a culture of engineering excellence, and effectively communicate with and influence key stakeholders across the enterprise at all levels of the organization
• Strike the right balance between lending deep expertise and providing an inclusive environment where others’ ideas can be heard and championed

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• 10+ years of experience in software or data engineering utilizing languages such as Python, GoLang, SQL, or Java
• 5+ years of hands-on experience driving enterprise data platform architecture at scale on AWS
• 3+ years of experience defining data platform architecture standards, data governance frameworks, and engineering practices adopted across a large engineering organization
• Proven experience designing and operating production-grade data ingestion pipelines including CDC based patterns (Debezium, DMS) and streaming architectures (Kafka, Kinesis)
• Deep, demonstrated expertise in AWS data services: Glue, Athena, S3, Lake Formation, SageMaker, Kinesis, DMS, Redshift, or equivalent
• Active, hands-on proficiency with AI coding assistants (GitHub Copilot, Claude Code, Cursor, or equivalent) applied to data engineering and infrastructure work
• Demonstrated ability to mentor and develop senior technical talent in data platform disciplines

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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