Amazon Emr

Amazon Emr Finance Jobs

2 jobs found

Today

Data Engineer, WW Ops Finance - S&A

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

Today

$132k - $179k/yr Full time Amazon Emr Amazon Web Services AWS

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Job Description

Amazon is seeking a customer-focused Data Engineer for Worldwide Operations Finance Standardization & Automation (S&A) to build and scale a unified data management and discovery platform for global Finance teams.

Responsibilities

Design, build, and maintain scalable data pipelines and ETL workflows using Python, SQL, and AWS services including S3, Glue, Redshift, Lambda, EMR, and MWAA
Develop and optimize data models, metadata management frameworks, and catalog systems to support fast, reliable data discovery for thousands of internal users
Build and maintain microservices and APIs using API Gateway and Lambda for platform capabilities such as search, data ingestion, and cross-service integrations
Implement data quality frameworks, monitoring, and alerting to maintain reliability, freshness, and compliance with governance standards
Automate data onboarding and self-service workflows to reduce manual work and improve time-to-insight
Partner with cross-functional teams (product managers, BI engineers, and business stakeholders) to translate business requirements into scalable technical solutions
Support system design and code reviews, and follow operational excellence practices such as incident response, root cause analysis, and continuous improvement
Contribute to GenAI-powered features and AI-driven workflows that improve data discovery and analytics experiences

Requirements

3+ years of data engineering experience
1+ year developing and operating large-scale data structures for business intelligence analytics using OLAP technologies
1+ year developing and operating large-scale data structures for business intelligence analytics using SQL
1+ year developing and operating large-scale data structures for business intelligence analytics using Oracle
1+ year developing and operating large-scale data structures for business intelligence analytics using ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform)
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

Technologies

Python, SQL
AWS services: S3, Glue, Redshift, Lambda, EMR, MWAA
API Gateway, ETL, ELT
Oracle, OLAP technologies, DataZone, OpenSearch
Kinesis, FireHose
IAM roles and permissions
Non-relational databases / data stores: object storage, document or key-value stores, graph databases, column-family databases
Apache Spark, Elastic MapReduce (EMR)

Location

Bellevue, WA (onsite)

Compensation

USD 132,100 - 178,800 per year

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

About the Team

Part of the Worldwide Operations Finance Standardization & Automation (S&A) organization
Building a unified data management and discovery platform serving global Finance teams
Platform includes a dataset catalog, metric catalog, AI assistant, and interactive query experience for thousands of customers
Scaling to support 10+ domains and data producer teams
Stack includes AWS services (DataZone, OpenSearch, API Gateway, Lambda), microservices architecture, and modern frontend frameworks

Preferred Qualifications

Experience with AWS technologies such as 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 MapReduce

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2mo ago

Data Engineer, WW Ops Finance S&A

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

2mo ago Closed

$132k - $179k/yr Full time Python Amazon Emr AWS

This position is no longer accepting applications (closed Jul 26, 2026).

Job Description

This onsite role in Bellevue, WA offers a competitive total compensation package, including a salary range of USD 132,100 to 178,800 per year, comprehensive health benefits, 401(k) matching, paid time off, and parental leave. You will join the WW Ops Finance Standardization & Automation team to design scalable data infrastructure, ETL pipelines, and analytics platforms for Operations Finance customers at Amazon.

Responsibilities

Design, build, and maintain complex data solutions and ETL pipelines using Python, Spark, SQL, and AWS services (S3, Glue, Redshift, MWAA, EMR, Lambda)
Develop data architecture and scalable pipelines to support customer reporting needs, while implementing and supporting analytics infrastructure for internal Finance customers
Interface with technology teams to extract, transform, and load data from various sources, ensuring data quality and balancing design trade-offs
Collaborate with business users, developers, and BI Engineers to deliver on data architecture projects and next generation financial solutions
Participate in code reviews, design discussions, and team planning, while improving reporting processes and enabling self-service support
Identify process improvements to drive innovation, scale existing solutions, and create new ones based on stakeholder needs
Diagnose and resolve operational issues through detailed root cause analysis, maintaining high availability and reliability

Requirements

3+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
Bachelor's degree
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Knowledge of distributed systems as it pertains to data storage and computing

Technologies

Python
Spark
SQL
MWAA
EMR
S3
Glue
Redshift
Lambda
Airflow
AWS CodeDeploy
AWS CodePipeline
AWS Cloud Development Kit (CDK)
AWS CloudFormation
IAM
CloudWatch
Java
Scala
NodeJS
Kinesis
FireHose

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement)
401(k) matching
Paid time off
Parental leave

About the Team

The Operations finance data ecosystem supports global data management solutions, scaling to support 10+ data producer teams and 2500 finance customers. The role will collaborate with BIE and DE teams across the organization to identify critical customer pain points and help design, implement, and drive the data journey. In the era of AI capabilities, the role will identify mechanisms to incorporate AI driven workflows for both builders and customer communities.

Preferred Qualifications

Experience with AWS technologies such as 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 building large-scale, high-throughput, 24x7 data systems

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Amazon Emr Finance Jobs

Data Engineer, WW Ops Finance - S&A

Data Engineer, WW Ops Finance S&A

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