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Weekend Ai Data Engineer Jobs in New York (NOW HIRING)

Schonfeld

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role Schonfeld Strategic Advisors is seeking an experienced AI Data Engineer to join our Data Engineering team. In this role, you will be responsible for designing, building, and ...

Schonfeld

AI Data Engineer

New York, NY

$125K - $150K/yr

About the Role Schonfeld Strategic Advisors is seeking an experienced AI Data Engineer to join our Data Engineering team. In this role, you will be responsible for designing, building, and ...

Lorven Technologies

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

Role- AI Data Engineer Location- NYC, NY- Hybrid Duration: Full Time Required Qualifications * Strong experience in Python application development . * Strong background in data engineering, data ...

CLPS Global

AI Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Role - AI Data Engineer Location - NYC, NY - Hybrid FTE No openings - 2 Required 9+ Years of experience Looking for visa independent candidates. Required Qualifications * Strong experience in Python ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

Reveille Technologies

AI Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

* 5-7 years of hands-on experience in data engineering, with at least 2 years focused on AI/ML workloads. * Expert proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow ...

ARSquare Tech LLC

AI Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Understanding of AI agent/harness engineering patterns and LLM application architecture. * Experience working with APIs, databases, data platforms, and enterprise data sources. * Cloud development ...

Capgemini

Snowflake AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

The Snowflake AI Data Engineer / Lead serves as the onsite technical lead, driving Snowflake-native AI, GenAI, and advanced data engineering on AWS Cloud. * This role requires deep expertise in ...

United Airlines

Snowflake AI Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The Snowflake AI Data Engineer / Lead serves as the onsite technical lead, driving Snowflake-native AI, GenAI, and advanced data engineering on AWS Cloud. * This role requires deep expertise in ...

Carlyle

Data & AI Engineer

New York, NY · Hybrid

$125K - $150K/yr

Department Description The Data & AI Engineer sits within Carlyle's Enterprise Technology & Data organization and supports firm-wide data and AI initiatives spanning investment platforms, portfolio ...

Carlyle

Data & AI Engineer

Manhattan, NY · On-site

$160 - $180/hr

The Data & AI Engineer sits within Carlyle's Enterprise Technology & Data organization and supports firm-wide data and AI initiatives spanning investment platforms, portfolio operations, investor ...

Carlyle

Data & AI Engineer

New York, NY · On-site

$125K - $150K/yr

Department Description The Data & AI Engineer sits within Carlyle's Enterprise Technology & Data organization and supports firm-wide data and AI initiatives spanning investment platforms, portfolio ...

Deloitte

Generative AI Data Engineer III

New York, NY · On-site

$125K - $150K/yr

Work you'll do As an AI and Data Science Engineer III on the team, you will be responsible for: * Design, build, test, and deploy machine learning and artificial intelligence solutions for business ...

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Weekend Ai Data Engineer information

What is the difference between Weekend Ai Data Engineer vs Weekend Data Engineer?

AspectWeekend Ai Data EngineerWeekend Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; familiarity with AI/ML toolsBachelor's in CS, Data Science, or related field; basic data engineering skills
Work EnvironmentProjects involving AI/ML models, data pipelines for AI applicationsGeneral data processing, ETL tasks, data pipeline setup
Employer & Industry UsageTech companies, AI startups, research institutionsVarious industries including finance, healthcare, e-commerce
Common Search & ComparisonOften compared for specialization in AI data tasksBroader data engineering roles

The Weekend Ai Data Engineer focuses on building data pipelines and models specifically for AI and machine learning applications, requiring knowledge of AI tools. In contrast, the Weekend Data Engineer handles general data processing tasks across various industries. Both roles share similar educational backgrounds but differ in their focus and project types.

What are the most commonly searched types of Ai Data Engineer jobs in New York?

The most popular types of Ai Data Engineer jobs in New York are:

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Weekend Ai Data Engineer jobs near you

AI Data Engineer

Schonfeld

New York, NY • On-site

$125K - $150K/yr

Full-time

Re-posted 2 days ago

Job description

About the Role
Schonfeld Strategic Advisors is seeking an experienced AI Data Engineer to join our Data Engineering team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines that power SchonAI, our firm's internal AI platform. You will work at the intersection of data engineering and AI, ensuring that high-quality, timely, and relevant data flows seamlessly to our AI systems to support investment professionals across the firm.
Key Responsibilities
Data Pipeline Development
  • Design and build scalable, reliable data pipelines to ingest, transform, and deliver structured and unstructured data to SchonAI using Prefect.
  • Develop ETL/ELT processes for diverse data sources including market data, research documents, internal databases, and third-party APIs.
  • Implement real-time and batch data processing workflows to meet varying latency requirements.
  • Ensure data quality, consistency, and integrity across all pipelines.

AI Data Infrastructure
  • Build and maintain data infrastructure optimized for AI/ML workloads, including vector databases and semantic search systems.
  • Design data schemas and storage solutions that support efficient retrieval and processing for LLM applications.
  • Implement data versioning, lineage tracking, and observability for AI training and inference pipelines.
  • Optimize data delivery for low-latency AI interactions and high-throughput batch processing.

Integration & Collaboration
  • Partner with AI engineers, software developers, and data scientists to understand data requirements.
  • Integrate with existing firm systems including risk platforms, trading systems, portfolio management tools, and research databases.
  • Collaborate with infrastructure teams on cloud architecture, security, and compliance requirements.
  • Work closely with business stakeholders to prioritize data sources and pipeline enhancements.

Data Governance & Security
  • Implement appropriate data access controls, encryption, and compliance measures.
  • Ensure adherence to data governance policies and regulatory requirements.
  • Monitor and maintain data pipeline performance, reliability, and cost efficiency.
  • Document data flows, transformations, and dependencies.

Required Qualifications
Technical Skills
  • Programming: Strong proficiency in Python; experience with SQL and at least one other language (e.g. Java, Scala, Go, Rust)
  • Data Engineering: 5+ years of experience building production data pipelines using tools like Apache Airflow, Prefect, Dagster, or similar
  • Big Data Technologies: Hands-on experience with distributed computing frameworks (Spark, Flink) and modern data platforms
  • Cloud Platforms: Proficiency with AWS services (S3, Kubernetes) or equivalent GCP services
  • Databases: Experience with both SQL (PostgreSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB, Elasticsearch)
  • AI/ML Data: Understanding of data requirements for ML/AI systems, including experience with vector databases (Pinecone, Weaviate, Qdrant) and embedding pipelines

Preferred Experience
  • Experience building data pipelines for LLM applications or RAG (Retrieval Augmented Generation) systems
  • Familiarity with financial data sources (market data, fundamental data, alternative data)
  • Knowledge of data streaming technologies (Kafka, Kinesis, Pub/Sub)
  • Experience of Analytics/Warehouse/OLAP DB (BigQ, SingleStore, RedShift, ClickHouse)
  • Experience with containerization (Docker) and orchestration (Kubernetes)
  • Understanding of MLOps practices and tools
  • Experience with data quality frameworks (Great Expectations, Deequ)

Professional Skills
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related technical field
  • Strong problem-solving skills and attention to detail
  • Excellent communication skills with ability to translate technical concepts for non-technical stakeholders
  • Experience working in fast-paced, collaborative environments
  • Self-motivated with ability to manage multiple priorities

Who we areSchonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.
Our CultureAt Schonfeld, we'll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas-at all levels-to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm's walls.
The base pay for this role is expected to be between $225k and $275k. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.
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