Aws Data Lake

Aws Data Lake Finance Jobs

3 jobs found

6d ago

Data Engineer, WW Ops Finance - S&A

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

6d ago

$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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8d ago

Data Engineer, Data Infrastructure and Generative Intelligence - AIGC Finance

Amazon.com Services LLC New York, NY

New York, NY

8d 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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30d ago

Data Engineer - Finance AI Solutions

Target Brooklyn Park, MN

Brooklyn Park, MN

30d ago Closed

$75k - $136k/yr Full time Analytics Artificial Intelligence Aws Data Lake

This position is no longer accepting applications (closed Sep 30, 2026).

Job Description

Target’s Finance Technology team is building the data foundation that supports enterprise financial operations and near real-time reporting. In this Data Engineer role, you will design, develop, and maintain scalable data pipelines and distributed processing capabilities that help power financial systems and analytical insights.

Working within an agile engineering environment, you will collaborate across engineering, product, and business stakeholders to deliver reliable data services, models, and frameworks. The work includes building both batch and real-time processing solutions, applying governance and security standards, and improving performance and reliability in production.

Position overview

Develop and maintain scalable data solutions supporting Target’s financial systems and enterprise reporting
Build reliable data pipelines and data services as part of an agile engineering team
Collaborate with engineers, product managers, data scientists, and business partners to deliver efficient, scalable, and maintainable data solutions
Grow technical expertise in cloud technologies and distributed data processing

Team overview

Finance Technology within Core Retail Services powers Target’s financial backbone
Platforms support critical capabilities across Accounts Payable, Accounts Receivable, Vendor Income, Treasury, Financial Planning, Core Accounting, Revenue & Receivables, and Enterprise Financial Controls
Finance reporting brings these data domains together to deliver near real-time insights for accurate reporting and faster decision-making
Work occurs within a global in-house technology team of more than 5,000 engineers, data scientists, architects, and product managers
Agile practices and open-source technologies are used to build best-in-class solutions

Key responsibilities

Develop and maintain scalable data pipelines and distributed data processing solutions using Spark, Scala/Java, and cloud platforms (AWS, GCP, or Azure)
Build and enhance batch and real-time data processing for analytical and operational workloads
Create and maintain APIs and data services to enable secure and efficient access to enterprise data
Develop data models, ETL workflows, and processing frameworks aligned to business requirements
Apply established data governance, security, and quality standards throughout the development lifecycle
Troubleshoot production issues, optimize data processing performance, and improve system reliability
Participate in code reviews, testing, and continuous improvement to maintain engineering quality
Continuously learn and adopt new technologies, tools, and engineering best practices

Required qualifications

4-year degree in Computer Science, Applied Mathematics, Physics, Information Technology, Engineering, etc., or equivalent industry experience
1+ year of software development experience with Big Data technologies such as Spark, Hadoop, or distributed data processing frameworks
Programming experience with PySpark, Scala, Java, or Python
Experience with AWS, GCP, or Azure and cloud-based data services
Familiarity with data modeling, ETL development, and data pipeline design
Exposure to API development using REST or similar technologies
Experience with SQL and relational or distributed databases
Understanding of data governance, security, and software development best practices
Strong analytical and problem-solving skills
Excellent communication and collaboration skills for cross-functional teamwork

Technologies

Spark
Scala
Java
AWS
GCP
Azure
PySpark
Python
Hadoop
REST
SQL

Work arrangement

Hybrid/Flex for your day arrangement based on Target’s needs
Core role work is performed both onsite at Target HQ in MN and virtually depending on daily requirements
Work duties cannot be performed outside the country of the primary work location unless otherwise prescribed by Target

Compensation and location

Location: Brooklyn Park, MN (hybrid)
Salary range: USD 75,400 - 135,700 per year

Benefits

Comprehensive health benefits including medical, vision, dental, life insurance, and more
401(k)
Employee discount
Short term disability
Long term disability
Paid sick leave
Paid national holidays
Paid vacation
Competitive benefits available across financial and education to well-being and beyond: https://corporate.target.com/careers/benefits
Benefits eligibility link: https://tgt.biz/BenefitsForYou_D

ADA accommodations

Target will provide reasonable accommodations for applicants with disabilities in accordance with state and federal laws
For accommodation requests related to the application or interview process, contact: candidate.accommodations@HRHelp.Target.com
Non-accommodation-related requests (application follow-ups or technical issues) will not be handled through this email

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Aws Data Lake Finance Jobs

Data Engineer, WW Ops Finance - S&A

Data Engineer, Data Infrastructure and Generative Intelligence - AIGC Finance

Data Engineer - Finance AI Solutions

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