AWS

AWS Finance Jobs

7 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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1d ago

Data Engineer, Data Infrastructure and Generative Intelligence - AIGC Finance

Amazon.com Services LLC New York, NY

New York, NY

1d ago

$145k - $197k/yr Full time Amazon Web Services Analytics Artificial Intelligence

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Job Description

Join the AIGC DIGI team as a Data Engineer focused on building analytical data infrastructure for Amazon Ads finance stakeholders.

Responsibilities

Review business needs and the existing tech stack/data landscape, then design, redesign, implement, and build analytical data infrastructure for multiple ads businesses
Partner with upstream and data partner teams to support reliable data solutions for the AIGC finance analytics environment
Manage AWS resources including EC2, EMR, S3, Glue, and Redshift
Coordinate with other technology teams to extract, transform, and load data from a wide variety of source systems
Explore and adopt new AWS technologies to expand capabilities and improve efficiency
Collaborate with and support Business Intelligence Engineers (BIEs) on reporting and analysis best practices, including data integrity, test design, analysis, validation, and documentation
Work with stakeholders to define requirements based on business questions and deliver scalable data solutions
Continuously improve ongoing reporting and analysis processes by automating or simplifying self-service support for customers

Requirements

3+ years of data engineering experience
1+ years developing and operating large-scale data structures for BI analytics using ETL/ELT
1+ years developing and operating large-scale data structures for BI analytics using OLAP technologies
1+ years developing and operating large-scale data structures for BI analytics using data modeling
1+ years developing and operating large-scale data structures for BI analytics using SQL
1+ years developing and operating large-scale data structures for BI analytics using Oracle
3+ years in the job offered or related occupation experience
1+ years developing and operating large-scale data structures for BI analytics using ETL (Extract, Transform, Load) / ELT (Extract, Load, Transform)
Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Mathematics, or related field
Experience with data modeling, warehousing, and building ETL pipelines

Technical Skills / Tools

AWS: EC2, EMR, S3, Glue, Redshift
Data & query: SQL, ETL, ELT, OLAP
Data engineering: data modeling, ETL pipelines
Additional AWS services: Kinesis, FireHose, Lambda, IAM roles and permissions
Data stores: non-relational databases; object storage; document or key-value stores; graph databases; column-family databases

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, including object storage, document or key-value stores, graph databases, and column-family databases

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, 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

Team Overview

Builds and operates scalable data infrastructure and AI solutions for finance and business stakeholders across AIGC
Works closely with the APM Advertising Finance team supporting publishers including Stores, Amazon Business, Books, Grocery/Physical Store, Devices, Video, and Audio
Focuses on accelerating top-line revenue and improving profitability by evaluating ad supply monetization and utilization, product feature or sales package adoption, campaign performance, and other growth drivers

Location: New York, NY (onsite)

Compensation: USD 145,300 - 196,600 per yearly

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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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3mo ago

Senior Financial Analyst, AWS Infrastructure Finance

Amazon.com Services LLC Seattle, WA

Seattle, WA

3mo ago Closed

$83k - $117k/yr Full time Senior Analytical Skills Analytics

This position is no longer accepting applications (closed Jul 8, 2026).

Job Description

Amazon's AWS Infrastructure Finance group is seeking a Senior Financial Analyst to partner with AWS leadership and internal stakeholders, delivering strategic financial planning, analysis, and business insights to support datacenter operations. This role blends rigorous financial modeling with cross-functional collaboration to help sustain growth within AWS infrastructure.

Responsibilities

Act as the primary finance business partner for AWS management and internal teams, offering informed financial guidance
Prepare and present weekly and monthly financial and operating metrics
Oversee FP&A processes, including month-end close; build models, analyze data, and forecast metrics that influence budgets and decisions
Conduct detailed NPV analyses for strategic initiatives and support ad-hoc financial analyses for projects
Evaluate business performance to extract key insights that align with objectives
Monitor control compliance and systems, and develop new processes to support AWS's rapid growth
Build detailed financial models for business segments, drive initiatives, and identify and implement operational efficiencies
Lead projects to automate processes and improve overall efficiency

Requirements

3+ years of experience in tax, finance, or a related analytical field
3+ years analyzing financial data and identifying patterns that support business strategy
3+ years contributing to cross-functional initiatives that drive financial performance and strategic planning
Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science), or a bachelor’s degree with 3+ years in a quantitative role (engineering, process re-engineering, quality assurance) experience

Technologies

Cognos TM1
Tableau
SQL
MS Access
Essbase
Cognos
Oracle
SAP
Lawson
JD Edwards

Benefits

Sign-on payments and restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription)
Basic Life & AD&D insurance and option for supplemental life plans
Employee Assistance Program (EAP) and mental health support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

Description

If you want to shape the direction of some of the cloud’s most influential products, consider joining the AWS Finance team. AWS provides a reliable, scalable, and cost-efficient cloud infrastructure that serves enterprises, government bodies, and startups across more than 190 countries. Since its 2006 inception, AWS has offered developers access to web services, laying the groundwork for modern cloud computing. The AWS Finance group emphasizes analytical rigor, accountability, and high standards to support a fast-growing business, with a focus on providing end-to-end financial support that helps AWS remain a low-cost provider while delivering strong customer experiences. The team collaborates with operations, safety and security, business development, and engineering to enable management to drive cash flow and enable breakthrough decisions for customers.

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4mo ago

Senior Financial Analyst, AWS Global Sales Planning & Compensation Finance

Amazon.com Services LLC Seattle, WA

Seattle, WA

4mo ago Closed

$83k - $117k/yr Full time Advanced Analytics AWS Business Systems

This position is no longer accepting applications (closed Jun 14, 2026).

Job Description

Amazon.com Services LLC invites applications for a Senior Financial Analyst within AWS Global Sales Planning & Compensation Finance in Seattle, onsite. The role offers a competitive salary range of USD 82,700 to 117,100 per year, along with a comprehensive benefits package. You will focus on financial modeling, decision support, and actionable insights to optimize AWS sales compensation and overall business performance, partnering cross-functionally to ensure accurate financial insights and effective planning.

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
Restricted stock units (RSUs)

Responsibilities

Serve as a key finance partner supporting Sales Marketing & Global Services leaders providing financial support and business insights
Lead the development of financial models and advanced analytical tools that aid in key decision making
Build rhythm of the business processes that help business leaders understand progress to goals as well as strategic insights to guide overall direction
Perform ad-hoc analysis as needed and present findings to senior management

Requirements

Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)
Experience in financial modeling, P&L management or analysis
3+ years of dissecting financial data and identifying patterns that support business strategy experience
3+ years of contributing to cross-functional initiatives that drive financial performance and strategy experience
3+ years of tax, finance or a related analytical field experience

Technologies

SQL
MS Access
Essbase
Cognos
Oracle
SAP
Lawson
JD Edwards

Preferred Qualifications

Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
Experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes
4+ years of applying key financial performance indicators (KPIs) to analyses experience
4+ years of creating process improvements with automation and analysis experience

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4mo ago

Senior Systems Data Engineer, Financial Transactions and Automation

NVIDIA Austin, TX

Austin, TX

4mo ago Closed

$224k - $357k/yr Full time Python Senior AWS

This position is no longer accepting applications (closed Jun 9, 2026).

Job Description

Join NVIDIA in Austin, TX, onsite, with a competitive annual salary range of USD 224,000 to 356,500, plus equity and comprehensive benefits. As a Senior Systems Data Engineer on the Financial Systems Engineering team, you will design scalable data architectures and automation that power NVIDIA's financial infrastructure and monetization pipeline.

This role emphasizes collaboration, reliability, and data integrity across financial operations, offering a clear path to influence how financial data is captured, transformed, and consumed at scale.

Responsibilities

Pipeline Architecture & Integrity: Architect event-driven pipelines using Kafka and develop data models that ensure transactional integrity (ACID) for invoices, payments, and adjustments.
Scalable Data Solutions: Automate scalable ETL processes and refactor next-generation data architectures to improve quality, security, and coverage for growing business demands.
Operational Excellence: Collaborate across teams to codify business processes into self-measuring systems, debugging complex challenges to ensure reliability of financial operations.

Requirements

Bachelor’s degree (or equivalent experience); Master’s preferred.
12+ years of industry experience delivering scalable financial services.
Core Technical Skills: Expertise in building scalable REST APIs backed by PostgreSQL and proficiency in Python, Golang, Scala, or NodeJS. Hands-on experience architecting robust ETL/ELT pipelines using Databricks and dbt to manage large-scale Delta Lake or Apache Iceberg tables.
Infrastructure & Systems: Deep understanding of high-scale distributed systems, Linux, and cloud infrastructure (AWS/GCP/Azure) using container technologies like Docker and Kubernetes.

Technologies

Kafka, PostgreSQL, Python, Golang, Scala, NodeJS
Databricks, dbt, Delta Lake, Apache Iceberg
Linux, AWS, GCP, Azure, Docker, Kubernetes
REST APIs

Benefits

Equity
Benefits

Ways to Stand Out

Advanced Data Modeling: Experience developing data ontology or semantic data layers that map disparate raw data into interconnected objects with defined properties and actionable functions.
Financial Domain Scale: A track record of managing Financial/ERP data at internet scale, ensuring transactional integrity and zero data loss.
Modern Operations: An Infrastructure as Code mindset with experience building self-healing systems in distributed environments.

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4mo ago

Lead Financial Crimes Data Engineer / NetReveal Architect (Application Programmer III

Experis Jersey City, NJ

Jersey City, NJ

4mo ago Closed

Full time AWS Data Engineer Data Integration

This position is no longer accepting applications (closed Jun 8, 2026).

Job Description

Experis is seeking a senior technical leader to drive the design, development, and deployment of sanctions and AML screening solutions on the NetReveal platform from its Jersey City base. The Lead Financial Crimes Data Engineer / NetReveal Architect works within the Financial Crimes Compliance team, emphasizing large-scale data processing and close collaboration with cross-functional partners to translate requirements into robust technical solutions.

Responsibilities

Architect, build, and deploy enterprise-grade sanctions and AML screening solutions on NetReveal, aligning with security and risk controls.
Collaborate with cross-functional teams to estimate, refine, and deliver project stories on schedule while maintaining high-quality outputs.
Leverage deep expertise in Oracle SQL, PL/SQL, and Informatica ETL to process large data volumes efficiently.
Tune database schemas and queries to support scalability and performance in high-volume environments.
Engage with business stakeholders to gather requirements and translate them into effective technical designs.

Requirements

15+ years of hands-on experience in application development within financial crimes, sanctions, or AML domains.
Strong proficiency in Oracle database architecture, SQL, PL/SQL, and Informatica (PowerCenter and IDMC).
Practical experience with relational and dimensional data modeling, including star and snowflake schemas.
Knowledge of cloud/data engineering concepts and container platforms such as Docker, Kubernetes, and cloud providers like AWS, Azure, or GCP.
Solid understanding of financial crimes workflows, sanctions screening, PEP/negative news screening, and related processes.

Technologies

NetReveal
Oracle SQL
PL/SQL
Informatica (PowerCenter and IDMC)
Docker
Kubernetes
AWS
Azure
GCP

Benefits

Opportunity to work on impactful projects within a leading financial institution.
Exposure to cutting-edge data engineering and AML/sanctions screening technologies.
Collaborative environment that supports innovation and continuous learning.
Potential for career growth within a global organization.
Comprehensive health and wellness benefits after the waiting period.

About ManpowerGroup

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. ManpowerGroup is the parent company of Manpower, Experis, Talent Solutions, and Jefferson Wells.

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AWS Finance Jobs

Data Engineer, WW Ops Finance - S&A

Data Engineer, Data Infrastructure and Generative Intelligence - AIGC Finance

Data Engineer, WW Ops Finance S&A

Senior Financial Analyst, AWS Infrastructure Finance

Senior Financial Analyst, AWS Global Sales Planning & Compensation Finance

Senior Systems Data Engineer, Financial Transactions and Automation

Lead Financial Crimes Data Engineer / NetReveal Architect (Application Programmer III

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