Key job responsibilities
Design, build, and maintain scalable data pipelines and ETL workflows using Python, SQL, and AWS services (S3, Glue, Redshift, Lambda, EMR, MWAA) to support enterprise-scale data platforms
Develop and optimize data models, metadata management frameworks, and catalog systems that enable fast, reliable data discovery for thousands of internal customers
Build and maintain microservices and APIs (API Gateway, Lambda) that power platform features including search, data ingestion, and cross-service integrations
Implement data quality frameworks, monitoring, and alerting to ensure high data reliability, freshness, and compliance with governance standards
Automate data onboarding workflows and self-service capabilities to reduce manual effort and accelerate time-to-insight for data consumers and producers
Collaborate with cross-functional teams — including product managers, BI engineers, and business stakeholders — to translate business requirements into scalable technical solutions
Participate in system design, code reviews, and operational excellence practices including incident response, root cause analysis, and continuous improvement
Contribute to GenAI-powered features and AI-driven workflows that enhance the data discovery and analytics experience
About the team
We are part of the Worldwide Operations Finance Standardization & Automation (S&A) organization, building a unified data management and discovery platform serving global Finance teams. Our platform combines a dataset catalog, metric catalog, AI assistant, and interactive query experience enabling thousands of customers to find and act on data faster. We are rapidly scaling to support 10+ domains and data producer teams. Our tech stack includes AWS services (DataZone, OpenSearch, API Gateway, Lambda), microservices architecture, and modern frontend frameworks.
3+ years of data engineering experience
1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
Experience with data modeling, warehousing and building ETL pipelines
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Experience with Apache Spark / Elastic Map Reduce
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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, WA, Bellevue - 132,100.00 - 178,800.00 USD annually
