Data Engineer: Hybrid Cloud & AI Pipelines

IBM; Boston (MA); Hybrid; USD 85,000 - 128,000; Full time

Job summary

IBM Consulting is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision-making across the organization. You will collaborate with data analysts, data scientists, software engineers, and business stakeholders to ensure reliable access to high-quality data.

Your role focuses on designing, developing, and maintaining ETL/ELT pipelines, data models, data warehouses, and data lakes, with

Qualifications

• Bachelor's degree in CS/Engineering or related field.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines.
• Build and optimize data models, data warehouses, and data lakes.
• Integrate data from multiple internal and external sources.
• Ensure data quality, consistency, and reliability across systems.
• Monitor and troubleshoot pipeline and platform issues.
• Improve data processing performance and cost efficiency.
• Collaborate with cross-functional teams to understand data requirements.
• Implement and maintain data governance, security, and compliance standards.
• Document data architecture, workflows, and best practices.

Skills

SQL

Python

Data modeling

Data governance

Communication

Problem solving

Education

Bachelor's Degree

Tools

Airflow

AWS

GCP

Azure

Snowflake

BigQuery

Redshift

Docker

Kubernetes

dbt

Kafka

Job description

IBM Consulting is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision-making across the organization. You will collaborate with data analysts, data scientists, software engineers, and business stakeholders to ensure reliable access to high-quality data.

Your role focuses on designing, developing, and maintaining ETL/ELT pipelines, data models, data warehouses, and data lakes, with