Aws S3 Data Lake

Aws S3 Data Lake Engineer Jobs

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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 building a unified data management and discovery platform for worldwide Finance teams, and needs a customer-focused Data Engineer to design, scale, and automate the underlying data infrastructure.

Responsibilities

Design, build, and maintain scalable data pipelines and ETL workflows using Python, SQL, and AWS services such as 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 customers
Build and maintain microservices and APIs (including API Gateway and Lambda) for platform capabilities like search, data ingestion, and cross-service integrations
Implement data quality frameworks with monitoring and alerting to support reliability, freshness, and governance and compliance expectations
Automate data onboarding workflows and self-service features to reduce manual work and shorten time-to-insight for data consumers and producers
Work cross-functionally with product managers, BI engineers, and business stakeholders to translate business needs into scalable 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 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 using ETL (Extract, Transform, Load) / ELT (Extract, Load, Transform) processes
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, ETL, ELT
AWS services: S3, Glue, Redshift, Lambda, EMR, MWAA
API Gateway
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 Map Reduce

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
Actively scaling to support 10+ domains and data producer teams
Technology includes AWS services such as DataZone, OpenSearch, API Gateway, Lambda, microservices architecture, and modern frontend frameworks

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1d ago

AWS Glue Data Engineer

Realign LLC Phoenix, AZ

Phoenix, AZ

1d ago

$120k+/yr Full time Backend Developer Amazon Web Services AWS

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Job Description

This role focuses on engineering scalable ETL data pipelines using AWS Glue and PySpark/Spark, with tight integration to Snowflake and governance controls through AWS Lake Formation. You will also support a GovCloud proof of concept and convert existing SQL logic into maintainable PySpark while validating data quality and performance.

Responsibilities

Design, build, test, and optimize scalable ETL pipelines using AWS Glue and PySpark/Spark
Configure and maintain AWS Glue Crawlers, Data Catalog objects, jobs, workflows, and connections
Integrate AWS Glue workloads with Snowflake using SQL and supported connectors
Implement data access, governance, and security controls with AWS Lake Formation
Collaborate with the cloud engineering team to deliver a proof of concept in a GovCloud environment
Convert existing SQL logic into maintainable PySpark code and validate data quality and performance
Document architecture, configuration, deployment steps, test results, risks, and operational handover
Participate in the on-site Phoenix buildout week and support troubleshooting through proof of concept completion
Provide strong written and verbal communication and coordinate directly with technical stakeholders in a fast-paced proof of concept environment
Maintain ownership of deliverables, risks, dependencies, and provide timely status reporting

Requirements

Hands-on AWS Glue expertise, including PySpark/Spark ETL development, Crawlers, and Data Catalog
Snowflake experience, including SQL, connectors, and basic administration
Data governance experience using AWS Lake Formation
Eligibility to work on ITAR/export-controlled GovCloud engagements; US citizenship is required
Ability to work on-site in Phoenix, Arizona during the buildout week

Preferred Qualifications

Experience with Snowflake Catalog Federation and/or Iceberg REST Catalog
Experience with Kiro or another agentic IDE for SQL-to-PySpark code conversion
Experience with Hub-and-Spoke VPC architecture and inspection firewalls, preferably Check Point

Technology Focus

AWS Glue, PySpark, Spark
AWS Glue Crawlers, AWS Glue Data Catalog objects, AWS Glue jobs, AWS Glue workflows, AWS Glue connections
Snowflake, SQL
AWS Lake Formation
GovCloud

Location and Compensation

Location: Phoenix, AZ (onsite)
Salary: USD 120,000 per year

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Aws S3 Data Lake Engineer Jobs

Data Engineer, WW Ops Finance - S&A

AWS Glue Data Engineer

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