1257 Data Engineer Aws jobs in New York,NY
JobLeads
Python Software Engineer: Front/Back/Data Roles
The Hagen Ricci Group
New York, NY 10261
Remote Online Tasks – Earn Up to $1,500/month Playing Games
Free Cash
New York, NY 10009
$1,500/mo
Remote
New, Posted 16 hours ago
ResumeLibrary
Applied Researcher II (AI Foundations)
Capital One
New York, NY 10012
New, Posted 12 hours ago
UPS - Warehouse Worker/Package Handler $21+/hr
UPS
Union City, NJ 07087
$21/hr
No Experience
New, Posted 1 day ago
Senior Software Developer - AWS / Platform
Disney Entertainment and ESPN Product & Technology Careers
New York, NY 10025
$141,900-$190,300/yr
New, Posted 1 day ago
Frito-Lay - Warehouser/Material Handler $18-$26/hr
Frito Lay
Hoboken, NJ 07030
$18-$26/hr
No Experience
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Entry Level Programming Opportunity
Year Up United
New York, NY 10261
$525/wk
Onsite
- A high school graduate or GED recipient
- Eligible to work in the U. S.
- Highly motivated to learn technical and professional skills
- Have not obtained a Bachelor's degree
New, Posted 1 day ago
Staff Software Engineer - ServiceNow ITAM
The Walt Disney Company (Corporate) Careers
New York, NY 10025
$148,300-$198,800/yr
Principal Quant Developer (MLOps)
Fidelity Investments
Hoboken, NJ 07030
~ 16 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit
- A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and six (6) years of experience as a Senior Quant Developer or similar role.
- Alternatively, a Master's degree (or equivalent foreign education) in the same fields, accompanied by four (4) years of experience as a Lead Quantitative Development or similar role.
- This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
- Expert in Python with experience across the development stack (full stack)
- Exposure to object-oriented programming (OOP) and design patterns
- Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
- A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
- Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
- Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
- Proven ability to construct and manage robust data pipelines and event-driven workflows
- Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
- Experience in containerization with Docker and orchestration with Kubernetes
- Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
- Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
- Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
- Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
- Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
- Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
- Awareness of responsible AI governance practices
- Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
- Demonstrated knowledge of mathematics, statistics, and quantitative finance
- Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
- Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
- Domain knowledge in either equities, fixed income or alternative asset classes
- Progress towards CFA (or equivalent) a plus
New, Posted 1 day ago
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Sr Business Analytics Advisor (US Remote)
FedEx Logistics
Jamaica, NY 11434
RemoteEducation AssistanceHealth InsuranceRetirement Benefit
- Bachelor's degree/equivalent in engineering, data analytics, computer software or related technical or quantitative discipline.
- Five (5) years experience in data analytics, data management and/or engineering
- Excellent analytical, problem solving, presentation, project management, SQL, data analytics tools (e.g. SAS), data visualization tools (e.g., Tableau, SAS VA, Spotfire)
- Excellent human relations, organizational/time management and communication skills.
What companies are hiring Data Engineer Aws jobs in New York,NY?
- The Hagen Ricci Group
- Free Cash
- Capital One
- UPS
- Disney Entertainment and ESPN Product & Technology Careers
- Frito Lay
- Year Up United
- The Walt Disney Company (Corporate) Careers
- Fidelity Investments
- FedEx Logistics
- The Hagen Ricci Group
- Free Cash
- Capital One
- UPS
- Disney Entertainment and ESPN Product & Technology Careers
- Frito Lay
- Year Up United
- The Walt Disney Company (Corporate) Careers
- Fidelity Investments
- FedEx Logistics
What is the hourly salary range for Data Engineer Aws jobs in New York,NY?
The hourly salary range is $18 - $26.
The hourly salary range is $18 - $26.
