Lambda Finance Jobs

1 job found

1mo ago

Data Engineer, WW Ops Finance S&A

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

1mo 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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