Associate Data Engineer, AI & Analytics

IBM

Confirmed live yesterday Low trust

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Work type: On-site
Location: —
Posted: 26 days ago
Freshness: Confirmed live yesterday

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How this pay compares to similar roles

Similar $169k

$117k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $126,800–$211,200.

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 506 open roles on FindRole.

Listed pay typically runs $174,632–$197,165 across 5 roles with salary data.

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At a glance

TL;DR · Associate Data Engineer, AI & Analytics

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Associate Data Engineer - AI & Analytics - 2027 is a role within the AI & Analytics practice at an IBM Consulting FutureNow Center. In this position, you will work alongside consultants, data scientists, and engineers to help organizations unlock the value of their data through artificial intelligence, machine learning, generative AI, and advanced analytics. You will build innovative solutions for diverse clients across sectors such as healthcare, financial services, and manufacturing to solve complex business challenges. The role requires a strong foundation in programming languages like Python, SQL, and Java, along with knowledge of databases, data structures, and data processing. Candidates should possess an understanding of cloud technologies, modern data platforms, and analytics concepts while demonstrating the ability to communicate technical findings to both technical and business audiences.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

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Skills

Artificial Intelligence Machine Learning Generative AI Python SQL Java Data Structures Data Processing Business Intelligence Data Visualization Data Architecture

What you'll do

Develop innovative solutions using data, machine learning, and Generative AI to solve complex business challenges.
Help organizations unlock the value of their data to improve business outcomes and accelerate innovation.
Execute technical tasks on real client projects across diverse industries like healthcare, finance, and manufacturing.
Translate technical findings and data-driven insights into clear information for both technical and business audiences.
Utilize programming languages such as Python, SQL, or Java to process and analyze large datasets.
Implement advanced analytics and AI technologies to automate business processes and drive decision-making.
Work on modern data platforms and cloud architectures to support client infrastructure needs.

What we're looking for

Must have a Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, Analytics, or a related field.
Must possess foundational knowledge of programming languages such as Python, SQL, Java, or similar technologies.
Must have a foundational understanding of databases, data structures, data processing, and analytics concepts.
Must have a 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 through coursework, projects, labs, hackathons, or internships.
Must be able to communicate technical findings and data-driven insights to both technical and business audiences.
Must demonstrate application of programming, data, or analytical skills through coursework, projects, research, internships, hackathons, or personal learning.
Experience with analytics, business intelligence, AI, cloud-based data projects, or data visualization tools is preferred.

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