The Data/AI Cloud Engineer will implement AWS data services, build ETL pipelines, optimize databases, and support data-driven solutions collaborating with technical teams.
As a Data & AI Engineer, you’ll build and deploy modern data pipelines and generative AI solutions on AWS — from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you’re building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You’ll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready.
What You’ll Do:
- Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
- Creating and maintaining data extraction, transformation, and loading processes
- Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
- Implementing data lakes using S3 and related AWS services
- Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude
- Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases
- Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
- Writing and testing SQL queries and stored procedures
- Documenting technical solutions and providing knowledge transfer to customers
- Supporting the implementation of data governance and security controls
- Troubleshooting and resolving issues with data pipelines and AI services
- Participating in code reviews and implementing feedback
- Assisting with proof-of-concept implementations for customer engagements
Required Skills:
- 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
- 2+ years of hands-on AWS experience with production deployments
- 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
- Proven track record delivering production AI applications from concept to deployment
- Strong understanding of software engineering best practices (version control, testing, code review, documentation)
- Experience working in agile/scrum environments with distributed teams
- Excellent problem-solving skills and ability to work independently with minimal supervision
- Strong written and verbal communication skills for client-facing interactions
Preferred:
- Technical familiarity with AWS data and AI/ML services and modern data engineering practices
- Hands-on experience with ETL/ELT processes and data transformation
- Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks
- Ability to write and optimize SQL queries across various database platforms
- Knowledge of data modeling concepts and best practices
- Strong analytical and problem-solving skills
- Eagerness to learn new technologies and keep up with cloud and AI innovations
- Excellent communication skills with the ability to explain technical concepts clearly
- Attention to detail and commitment to solution quality
- Collaborative mindset with strong teamwork capabilities
- Experience or interest in automation and infrastructure as code
Similar Jobs
Information Technology • Cybersecurity
Research and simulate emerging phishing and social-engineering attacks for a security awareness training product. Build realistic phishing emails and landing pages using web technologies, analyze reported incidents and attack trends, automate content generation with AI coding tools, and expand training globally. The role also creates educational content, reports threat insights, supports outreach, and collaborates with product leadership to improve phishing defense outcomes.
Top Skills:
AngularClaude CodeCodexCSSCursorHTMLJavaScriptReactVue
Fintech • Mobile • Software • Financial Services
Develop and enhance data analytics solutions for Internal Audit, including automated testing, continuous monitoring, dashboards, reporting, risk analysis, and anomaly detection. Partner with audit teams, data owners, and stakeholders to analyze complex data, document procedures and findings, improve audit processes, and evaluate responsible applications of AI, machine learning, and automation.
Top Skills:
AlteryxArtificial IntelligenceDbtExcelGitGitMachine LearningPower BIPythonRSQLTableau
Fintech • Mobile • Software • Financial Services
The Staff Credit Policy Analyst leads the development and governance of credit policies for home loans, ensuring compliance and operational efficiency while collaborating with leadership and cross-functional teams.
Top Skills:
Encompass LosExcelTableau
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
