Senior AI Data & Integration Engineer — New York, NY

About The Opportunity

A fast-scaling AI infrastructure startup in the Enterprise Data & Intelligent Automation sector, we build unified data ingestion, transformation, and orchestration platforms that power generative AI, real-time analytics, and cross-system integrations for Fortune 500 teams. Our engineers architect scalable, secure, and low-latency data pipelines that connect siloed enterprise systems—enabling seamless AI workflows across cloud, on-prem, and edge environments.

Role & Responsibilities

• Design and deploy end-to-end data pipelines that ingest, transform, and serve data for LLMs, ML models, and automation workflows.

• Integrate disparate enterprise systems (CRM, ERP, SaaS tools) via APIs, webhooks, and event-driven architectures.

• Optimize data flow performance and reliability using Apache Kafka, Airflow, or similar orchestration tools.

• Implement data quality checks, lineage tracking, and schema enforcement for governed AI training and inference.

• Collaborate with AI/ML teams to tune feature pipelines, reduce latency, and align data structures with model requirements.

• Define and enforce data governance, security, and compliance standards across hybrid cloud environments.

Skills & Qualifications

• Must-Have

• Python

• Apache Kafka

• Apache Airflow

• SQL

• RESTful APIs

• Cloud Platforms (AWS/Azure/GCP)

• Pandas

• Git

• Preferred

• Pyspark

• dbt

• Prefect or Dagster

Benefits & Culture Highlights

• Hybrid flexibility with core in-office collaboration days and remote autonomy.

• Equity stake and early-employee impact in a VC-backed AI infrastructure startup.

• Ongoing learning stipend for certifications and conferences in data/AI engineering.

Skills: restful apis,azure,aws,sql,dbt,apache kafka,gcp,pandas,python,git