Associate Data Engineer: Build AI-Ready Data Platforms

IBM; San Francisco (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

IBM is seeking an Associate Data Engineer as part of its university-hire program. You will help design, build, and scale data platforms supporting analytics, ML, and generative AI.

You’ll collaborate with global teams across data gathering, ingestion, transformation, storage, and governance to deliver reliable, secure data products. You will work with diverse colleagues to identify critical data needs, build pipelines, and create dashboards and observability views that communicate insights to

Qualifications

• Bachelor's degree in a related field is required.
• Foundational data engineering concepts including pipelines, databases, APIs, and ETL/ELT.

Responsibilities

• Design, build, and improve data platforms, data products, and services supporting analytics, ML, generative AI, and agentic AI solutions.
• Collaborate with diverse teams to select data management systems and identify data needed for insightful analysis.
• Tackle data quality, integration, and pipeline reliability issues.
• Create dashboards and observability views to communicate findings to stakeholders.
• Ensure data governance, lineage, and access controls across data assets.
• Translate client requirements into current and future data products, APIs, and use cases.

Skills

Python

SQL

Java

Scala

JavaScript

Cloud Platforms

Data engineering concepts

LLM/GenAI concepts

Education

Bachelor's degree

Tools

Spark

Hadoop

Kafka

Airflow

dbt

Databricks

Snowflake

Delta Lake

Linux

Job description

IBM is seeking an Associate Data Engineer as part of its university-hire program. You will help design, build, and scale data platforms supporting analytics, ML, and generative AI.

You’ll collaborate with global teams across data gathering, ingestion, transformation, storage, and governance to deliver reliable, secure data products. You will work with diverse colleagues to identify critical data needs, build pipelines, and create dashboards and observability views that communicate insights to