Data Engineer: AI/ML Ops & Cloud Data Pipelines

Digitailor; New York (NY); On-site; USD 90,000 - 95,000; Full time

Job summary

Digitailor is hiring a Data Engineer in New York, NY. You will design and maintain scalable data pipelines and data models, ensuring data quality and governance across production systems. Collaborate with data scientists and analysts to operationalize AI/ML solutions on cloud platforms.

The role emphasizes deploying AI/ML applications, maintaining observability, and integrating MLOps tools to support reliable, scalable data workflows in a fast-paced environment.

Qualifications

• Experience deploying and supporting AI/ML applications in production.
• Experience with ML lifecycle tools and orchestration frameworks.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines and data models.
• Build and optimize data warehouses and data lakes.
• Develop automated data ingestion, transformation, and orchestration workflows.
• Manage and optimize data platforms such as Snowflake, Databricks, or equivalent.

Skills

ETL/ELT pipelines

Data modeling

Cloud platforms

Kubernetes

ML/AI deployment

Docker

CI/CD

Terraform/IaC

Airflow/Dagster/Prefect

MLflow/SageMaker/Kubeflow

Tools

Snowflake

Databricks

SageMaker

Kubeflow

Airflow

Dagster

Prefect

Docker

Terraform

CloudFormation

Prometheus

Grafana

CloudWatch

Datadog

Kafka

Job description

Digitailor is hiring a Data Engineer in New York, NY. You will design and maintain scalable data pipelines and data models, ensuring data quality and governance across production systems. Collaborate with data scientists and analysts to operationalize AI/ML solutions on cloud platforms.

The role emphasizes deploying AI/ML applications, maintaining observability, and integrating MLOps tools to support reliable, scalable data workflows in a fast-paced environment.