analyst - data analytics digital lounge services

data engineer

software engineer

data analyst

analyst - data analytics digital lounge services Jobs in New York

data scientist

aws st data engineer

InterEx Group

<div>
 
 A big client of ours in New York is currently searching for a AWS Data Engineer.
 
 
 
 
 
 They are one of the largest Retail businesses globally with over 100,000 employees whereby they are working extensively with AWS and are looking to build a team of AWS Data Engineers to support the build-out of a brand new data platform on AWS Data Lake. They are looking to hire 5 people for this team and are open to hiring both Contract and Full Time Employees.
 
 
 
 
 
 Role Essentials:
 
 <ul>
 <li>
 AWS Experience
 </li>
 <li>
 Data Modernization
 </li>
 <li>
 Data Bricks
 </li>
 <li>
 Data Lake
 </li>
 <li>
 Data Factory
 </li>
 <li>
 AWS certifications are a plus
 </li>
 </ul>
 
 
</div>

AWS St Data Engineer

Exert Infotech LLC

<div>
 
 📢 Hiring: Data Engineer (Entry-Level) &ndash; USA 🇺🇸
 
 
 
 🎓 Open to Dec 2025 &amp; May Graduates | Visa Sponsorship Available
 
 
 
 We are actively looking for
 
 motivated and detail-oriented Data Engineer graduates
 
 to join our growing team in the United States. If you are passionate about data, cloud technologies, and building scalable pipelines &mdash; this is a great opportunity to kickstart your career.
 
 
 🔹 Role: Data Engineer (Entry-Level)
 
 
 📍 Location: United States (Onsite / Hybrid / Remote options available)
 
 
 🎓 Eligibility: Graduating in
 
 Dec 2025 or May 2026
 
 
 
 💼 Job Type: Full-time
 
 
 🌍 Work Authorization:
 
 OPT / CPT / STEM OPT / GC/ US Citizen
 
 
 
 🔧 Key Responsibilities:
 
 <ul>
 <li>
 Design, build, and maintain scalable
 
 data pipelines
 
 </li>
 <li>
 Work with large datasets using
 
 SQL, Python, or Spark
 
 </li>
 <li>
 Support
 
 ETL/ELT processes
 
 and data integration
 </li>
 <li>
 Collaborate with data analysts and business teams
 </li>
 <li>
 Ensure
 
 data quality, governance, and performance optimization
 
 </li>
 </ul>
 
 🛠️ Required Skills:
 
 <ul>
 <li>
 Strong knowledge of
 
 SQL &amp; Python
 
 </li>
 <li>
 Understanding of
 
 Data Structures &amp; Algorithms
 
 </li>
 <li>
 Familiarity with
 
 cloud platforms
 
 (AWS / Azure / GCP)
 </li>
 <li>
 Exposure to tools like
 
 Apache Spark, Hadoop, Snowflake
 
 </li>
 <li>
 Basic understanding of
 
 data warehousing concepts
 
 </li>
 </ul>
 
 ⭐ Preferred Qualifications:
 
 <ul>
 <li>
 Internship/project experience in data engineering or analytics
 </li>
 <li>
 Knowledge of
 
 Airflow, Kafka, or DBT
 
 </li>
 <li>
 Experience with
 
 real-time data processing
 
 </li>
 </ul>
 
 
</div>

Jr Data Engineer

Flairdeck Consulting

We are looking for an experienced Senior Backend Engineer &ndash; Platform to lead a high-impact platform transformation involving large-scale API rewrites, third-party vendor integrations, and backend architecture modernization.This is a strategic engineering role with ownership over core domains such as pricing, inventory, search, and platform infrastructure. You will help establish the backend as the single source of truth, consolidating business logic currently distributed across frontend and multiple services.Why This Role MattersOur engineering organization is undertaking a major architectural reset to improve scalability, reliability, and development velocity. Pricing and inventory systems are currently fragmented, making changes risky and slowing product delivery.As a Staff Engineer, you will:<ul><li>Define backend architecture and technical standards</li><li>Drive API redesign and service consolidation</li><li>Lead integrations with multiple external vendors</li><li>Improve observability, reliability, and operational excellence</li><li>Mentor engineers and influence technical direction across multiple teams</li></ul>Key Responsibilities<ul><li>Architect and build scalable backend systems using Ruby on Rails or Node.js</li><li>Design robust APIs and backend services for complex business domains</li><li>Consolidate pricing and inventory logic into a unified backend platform</li><li>Establish API contracts, coding standards, and observability practices</li><li>Lead technical decision-making and mentor engineering teams</li><li>Build reliable production systems with strong operational ownership</li><li>Collaborate with product, data, and platform teams to accelerate delivery</li></ul>Required Skills<ul><li>Strong experience with Ruby on Rails or Node.js</li><li>Proven experience operating at Staff Engineer or senior technical leadership level</li><li>Deep expertise in backend architecture, API design, and distributed systems</li><li>Hands-on experience with PostgreSQL and MongoDB</li><li>Strong AWS cloud experience</li><li>Experience with Docker, containerized services, and AWS ECS</li><li>Operational ownership of production systems, including monitoring and incident response</li></ul>Pay: $200,000.00 - $250,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible schedule</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li><li>Parental leave</li><li>Professional development assistance</li><li>Retirement plan</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Are you legally authorized to work in the United States?</li><li>Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?</li><li>Current Salary?</li><li>Expected Salary</li><li>Notice Period?</li></ul>Work Location: Hybrid remote in New York, NY 10001

Senior Backend Engineer – Platform (Ruby or Node.js)

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs. 
 
At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide ** transformative deals with industry leaders, and Private Pricing Programs &amp; Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with latest technologies and global clients. 
 
The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&amp;I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions. This role will focus on Data Engineering, and Analytics related to the Private Pricing Program, requiring deep technical skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support. 
 
As a Data Engineer on this team, you will drive efficiency in data handling processes, setup product analytics, drive advanced analysis and build new metrics which are key inputs to improve the health, scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders operations, and engineering teams on many non-standard and unique business problems and support business initiatives by collecting required and related data from external/internal sources. 
 
The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team&rsquo;s BI solutions and any related systems or artifacts. 
 
Key job responsibilities 
Design, develop, and maintain scalable data solutions for metrics, reports, analyses, and dashboards that support analytical and business needs 
 
Collaborate with technology teams to extract, transform, and load data from diverse sources using AWS services and internal tools 
Build and deliver high-quality datasets that support data science initiatives and customer reporting requirements 
 
Automate and optimize reporting processes to enable self-service analytics for stakeholders 
Translate business problem statements into technical analysis requirements 
 
Apply analytical and statistical rigor to answer business questions and drive data-driven decisions 
Develop measurement frameworks that quantify customer experience and drive business outcomes 
 
Create queries and visualizations for ad-hoc requests, projects, and ongoing reporting needs 
Write efficient, optimized queries with deep knowledge of data structures and query optimization techniques 
 
Adopt best practices in reporting and analysis including data integrity, design, validation, and documentation 
 
Troubleshoot operational data quality issues and audit existing data pipelines and queries 
 
Recommend improvements to back-end data sources for increased accuracy and simplicity<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 145,300.00 - 196,600.00 USD annually 
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, AWS GDSP A&I

Amazon Web Services (AWS)

<div>
 
 Description
 
 
 
 Amazon Web Services (AWS) is building a central pipeline of Software Development Engineer (SDE) talent for anticipated roles in 2026. This requisition supports hiring across all AWS SDE positions, from fungible SDE roles to specialized engineering positions in areas including:
 
 
 <ul>
 <li>
 Embedded Systems
 </li>
 <li>
 Game Development
 </li>
 <li>
 Compiler Engineering
 </li>
 <li>
 Artificial Intelligence/Machine Learning
 </li>
 <li>
 Healthcare AI
 </li>
 <li>
 Infrastructure Services
 </li>
 <li>
 Firmware Development
 </li>
 <li>
 Cloud Computing
 </li>
 <li>
 Distributed Systems
 </li>
 <li>
 Security Engineering
 </li>
 <li>
 Video Processing and Streaming
 </li>
 <li>
 Content Delivery Network (CDN)
 
 
 </li>
 </ul>
 When you apply to this position, your profile will be considered for current and future SDE openings across AWS, including teams such as Twitch, AWS Elemental, and AWS CloudFront.
 
 
 Key job responsibilities
 
 
 
 As An AWS Software Development Engineer, You Will
 
 
 
 <ul>
 <li>
 Design, develop, and maintain efficient, reusable, and reliable code
 </li>
 <li>
 Implement complex software solutions that meet business requirements
 </li>
 <li>
 Collaborate with cross-functional teams to define, design, and ship new features
 </li>
 <li>
 Identify and resolve performance bottlenecks and bugs
 </li>
 <li>
 Participate in architecture and design reviews to provide technical guidance
 </li>
 <li>
 Contribute to continuous improvement by identifying opportunities for process enhancement
 </li>
 <li>
 Stay current with emerging technologies and industry trends
 </li>
 <li>
 Mentor junior engineers and contribute to building a strong engineering culture
 
 
 </li>
 </ul>
 A day in the life
 
 
 On a typical day as an AWS SDE, you might:
 
 
 <ul>
 <li>
 Start your morning with a team stand-up to align on priorities and address any blockers
 </li>
 <li>
 Collaborate with product managers to refine requirements for upcoming features
 </li>
 <li>
 Write code and develop solutions for complex technical challenges
 </li>
 <li>
 Review pull requests from team members, providing constructive feedback
 </li>
 <li>
 Participate in design discussions for new services or features
 </li>
 <li>
 Debug and troubleshoot production issues as they arise
 </li>
 <li>
 Attend learning sessions to stay current with AWS technologies
 </li>
 <li>
 Document your work and contribute to technical specifications
 </li>
 <li>
 Engage with customers or internal stakeholders to better understand their needs
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 Our central SDE sourcing team specializes exclusively in the SDE job family across AWS. This team of experts understands the nuances of various SDE roles throughout the organization and serves as your dedicated resource throughout the hiring process. Here's what you can expect:
 
 
 <ul>
 <li>
 An SDE sourcer will contact you for an initial screening call to understand your background, skills, and interests
 </li>
 <li>
 They will share specific details about what you need to succeed in the interview process
 </li>
 <li>
 As the right roles become available, your sourcer will stay in touch and connect you with appropriate teams
 </li>
 <li>
 Throughout the process, the central team will provide guidance and preparation support
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of non-internship professional software development experience
 </li>
 <li>
 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
 </li>
 <li>
 3+ years of building complex software systems experience
 </li>
 <li>
 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
 </li>
 <li>
 Bachelor's degree or equivalent
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
 </li>
 <li>
 Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
 </li>
 <li>
 Knowledge of Python and/or C++ programming
 
 
 </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
 
 
 USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually
 
 
 USA, NY, BROOKLYN - 158,100.00 - 213,800.00 USD annually
 
 
 USA, NY, Carle Place - 158,100.00 - 213,800.00 USD annually
 
 
 USA, NY, New York - 158,100.00 - 213,800.00 USD annually
 
 
 USA, VA, ARLINGTON - 143,700.00 - 194,400.00 USD annually
 
 
 USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually
 
 
 USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually
 
 
 USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A3146673
</div>

Software Development Engineer

Venture Up

<div>
 
 
 Python Backend/Infrastructure Software Engineer &ndash; Startup &ndash; New York
 
 
 
 
 
 
 
 *
 
 
 Visa sponsorship not available, US Citizens only. Please do not apply if you are seeking sponsorship*
 
 
 
 
 
 
 Python Backend/Infrastructure Software Engineer is required by an AI platform startup (based in New York) assisting government contractors in winning more work by streamlining the RFP process. The company is becoming the Salesforce for government contractors. They are the vendor of choice for most top 10 government contractors with 20% month-over-month growth. You'll work on high-priority problems that directly impact their scaling to serve 100,000+ users.
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 
 <ul>
 <li>
 Strong Computer Science or other STEM degree from a top university
 </li>
 <li>
 5+ years of experience in backend engineering with strong Python expertise and experience building or scaling production backend services.
 </li>
 <li>
 Experience scaling backend systems at a Series A&ndash;C startup
 </li>
 <li>
 Backend-focused role with 70% backend work and 30% infrastructure, primarily in Python and infrastructure scaling.
 </li>
 <li>
 Must have experience with Async Python, FastAPI, MongoDB, and AWS services managed through Terraform.
 </li>
 <li>
 Experience designing or optimizing async systems, background job orchestration, or distributed workflows (e.g., Temporal, Celery, queues).
 </li>
 <li>
 Experience working with MongoDB / DocumentDB or other high-scale NoSQL databases.
 </li>
 <li>
 Able to work on-site in NYC 4 days/week.
 </li>
 </ul>
 
 
 
 
 
 What you'll do:
 
 
 <ul>
 <li>
 Profiling and optimizing critical paths across Python backend (FastAPI) to keep API response times low and AI-driven workflows efficient as the number of users, documents, and requests on the platform grows.
 </li>
 <li>
 Identifying and resolving performance bottlenecks across the database layer (DocumentDB/MongoDB), background job orchestration (Temporal), and async processing infrastructure that powers long-running LLM and document-processing workloads.
 </li>
 <li>
 Designing and implementing infrastructure improvements across Kubernetes, Terraform, and cloud environments (AWS GovCloud / Azure GovCloud) to support significantly higher concurrency, heavier workloads, and enterprise-scale deployments.
 </li>
 <li>
 Enhancing company&rsquo;s observability stack (Grafana) by improving logging, metrics, tracing, and alerting to better understand system behavior in production, diagnose issues quickly, and proactively prevent outages as the platform scales.
 </li>
 </ul>
 
 
 
 
 Join an exciting company with many opportunities to progress your career. Send your CV for immediately review and further details
 
 
 
</div>

Python Backend Software Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
At Amazon Supply Chain, we power the world's fastest-growing e-commerce business and embrace the mission of being Earth&rsquo;s most customer-centric company. As our business continues to expand, the customer fulfillment operations become larger and more complex each year. 
 
The Network Sales and Operations Planning (S&amp;OP) team forecasts all inventory flows across the entire North America Fulfillment network. We manage everything from what Amazon receives from vendors and sellers to what it ships from our Fulfillment Centers (FCs). The network S&amp;OP forecast is the starting point of a weekly planning process spanning first, middle mile, last mile and defining the amount of resources (trucks, labor) that need to be secured to ensure we fulfill our customer orders at the highest speed, best quality, lowest cost and least carbon intensity as possible. We partner closely with Supply Chain Optimization Technology (SCOT) teams in North America and internal tech stakeholders across Transportation, Labor Planning and Finance teams to reconcile bottom-up and top-down inputs to build analytical forecasts which are accurate and provide valuable insight. We also partner with Supply Chain Execution (SCE) teams as well as Science partners to define the optimal allocation under constraints of volumes across the 9 Regions of the US fulfillment network. 
 
We are now seeking a Business Intelligence Engineer to be part of a 2-3 person analytical group within the network S&amp;OP team. This is a Day 1 opportunity to be part of an entrepreneurial and pioneering team building from the ground up. You will research forecasting techniques, deep dive existing data sources to build new models to improve forecasting accuracy. You will also develop data solutions and advanced visualization techniques to offer forecast analysis to senior stakeholders (up to SVP). You will collaborate with business, product management, and engineering teams to drive progress.
 
Key job responsibilities 
 
<ul><li>Develop new forecasting models</li><li>Build advanced visualization solutions to allow business and tech stakeholders to deep dive and understand the teams forecasts.</li><li>Collaborate across multiple teams to ensure alignment with business goals and objectives.
</li></ul></div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>1+ years of SQL, ETL or Oracle experience</li><li>1+ years of processing large, multi-dimensional datasets from multiple sources experience</li><li>1+ years of performing statistical analysis experience</li><li>1+ years of developing automated reporting experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience in Statistical Analysis packages such as R, SAS and Matlab</li><li>Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling</li><li>Bachelor's Degree</li><li>Experience analyzing and communicating results to senior leadership</li><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li>Experience programming to extract, transform and clean large (multi-TB) data sets</li><li>Experience with theory and practice of design of experiments and statistical analysis of results</li><li>Experience with AWS technologies</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift</li><li>Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets</li><li>Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.</li><li>Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.</li><li>3+ years of SQL experience</li><li>Master's degree in statistics, data science, or an equivalent quantitative field</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 109,500.00 - 185,000.00 USD annually 
USA, TX, Houston - 99,500.00 - 160,000.00 USD annually</div>

Business Intelligence Engineer , North America Network Sales and Operations planning

Explore 601+ Aws st data engineer in New York this May. Find roles across top companies and apply now to boost your career.