2081 Data Engineer Snowflake Aws jobs in New York,NY
New, Posted 6 hours ago
UPS - Warehouse Worker/Package Handler $21+/hr
UPS
Union City, NJ 07087
$21/hr
No Experience
New, Posted 9 hours ago
ResumeLibrary
Applied Researcher II (AI Foundations)
Capital One
New York, NY 10012
New, Posted 1 day ago
Easy Apply
Human Resources Technology Data Engineer
LHH US
Astoria, NY 11106
$85-$100/hr
Hybrid~ 12 minHealth InsurancePaid Time OffRetirement Benefit
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5-8 years of professional software engineering experience.
- Proven track record of hands on development in enterprise scale systems, preferably in HR.
- Strong proficiency in at least one core programming language (Python or Java).
- Deep experience with relational databases, NoSQL stores, and complex query design.
- Experience working with HR, people operations, or workforce analytics data, including sensitive data handling, HRIS integrations (e.g., Dayforce, Culture Amp, etc.), and secure data exchange patterns.
- Demonstrated ability to build or support platforms involving employee lifecycle data, compensation structures, organizational hierarchies, and talent management workflows.
New, Posted 1 day ago
Frito-Lay - Warehouser/Material Handler $18-$26/hr
Frito Lay
Hoboken, NJ 07030
$18-$26/hr
No Experience
Cloud AWS Migration Expert - 100% Remote
The Dignify Solutions, LLC
Jersey City, NJ 07310
Remote
New, Posted 19 hours ago
Senior Software Developer - AWS / Platform
Disney Entertainment and ESPN Product & Technology Careers
New York, NY 10025
$141,900-$190,300/yr
New, Posted 19 hours 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
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Strategic Analyst
Disability Solutions
New York, NY 10261
New, Posted 20 hours ago
Apply Directly
AML Compliance Model Developer – Associate
Santander Holdings USA
New York, NY 10012
Onsite
- Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field
- 3–5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services
- Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing
- Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing
- Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets
- Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management
- Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT
- Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts
- Strong analytical, quantitative, and problem-solving skills
- Ability to multitask, manage priorities, and work effectively in fast-paced environments
- Strong communication, documentation, and stakeholder management skills
- Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment
What companies are hiring Data Engineer Snowflake Aws jobs in New York,NY?
- UPS
- Capital One
- LHH US
- Frito Lay
- The Dignify Solutions, LLC
- Disney Entertainment and ESPN Product & Technology Careers
- The Walt Disney Company (Corporate) Careers
- Fidelity Investments
- Disability Solutions
- Santander Holdings USA
- UPS
- Capital One
- LHH US
- Frito Lay
- The Dignify Solutions, LLC
- Disney Entertainment and ESPN Product & Technology Careers
- The Walt Disney Company (Corporate) Careers
- Fidelity Investments
- Disability Solutions
- Santander Holdings USA
What is the hourly salary range for Data Engineer Snowflake Aws jobs in New York,NY?
The hourly salary range is $18 - $100.
The hourly salary range is $18 - $100.
