Associate Data Engineer, AI & Analytics

IBM

Confirmed live today Low trust

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Work type: On-site
Location: —
Posted: 74 days ago
Freshness: Confirmed live today

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How this pay compares to similar roles

Similar $166k

$115k $216k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$205,781.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 265 open roles on FindRole.

Listed pay typically runs $180,812–$217,000 across 11 roles with salary data.

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TL;DR · Associate Data Engineer, AI & Analytics

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JOB TITLE: Associate Data Engineer 2027 – AI & Analytics As an Associate Data Engineer within the AI & Analytics practice at an IBM Consulting FutureNow Center, you will help organizations transform data into actionable insights to improve decision-making and solve complex business challenges. You will work alongside experienced consultants, data scientists, and AI specialists to support diverse clients across industries such as healthcare, financial services, and manufacturing. Your daily responsibilities include utilizing data, analytics, and artificial intelligence technologies to uncover business value. The role requires foundational knowledge of programming languages like Python, SQL, and Java, along with an understanding of databases, data structures, and machine learning concepts. You will also apply skills in cloud technologies, modern data platforms, and data architectures to deliver technical findings to both technical and business audiences.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

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Skills

Python SQL Java Artificial Intelligence Machine Learning Generative AI Data Structures Data Processing Analytics Business Intelligence Data Visualization Databases Cloud

What you'll do

Transform raw data into actionable insights to improve client decision-making.
Use data, analytics, and Artificial Intelligence technologies to create business value.
Solve complex business challenges for clients across various industries like healthcare and finance.
Develop and implement data-driven solutions to accelerate innovation for public and private sector clients.
Communicate technical findings and data-driven insights to both technical and business audiences.
Apply programming skills in languages such as Python, SQL, or Java to data projects.
Utilize cloud technologies and modern data platforms to support client architectures.

What we're looking for

Must have a Bachelor's Degree.
Must be currently completing or recently completed a bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, Analytics, or a related field.
Must have foundational knowledge of programming languages such as Python, SQL, Java, or similar technologies.
Must have foundational understanding of databases, data structures, data processing, and analytics concepts.
Must have foundational understanding of AI, Machine Learning, Generative AI, or data-driven decision-making concepts.
Must have exposure to cloud technologies, modern data platforms, or data architectures.
Must be able to communicate technical findings and data-driven insights to both technical and business audiences.

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