Associate Data Engineer, AI & Analytics

IBM

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: —
Posted: 26 days ago
Freshness: Confirmed live 2 days ago

Market check

Salary context

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.

Employer

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.

Most-posted roles

View all roles at IBM

At a glance

TL;DR · Associate Data Engineer, AI & Analytics

Role Posting Log in to save

Associate Data Engineer – AI & Analytics - 2027 serves as a key role within the AI & Analytics practice at an IBM Consulting FutureNow Center. In this position, you will work alongside experienced consultants and data scientists to transform complex data into actionable insights for diverse clients across sectors like healthcare, finance, and manufacturing. You will be responsible for building solutions that improve decision-making and accelerate innovation through advanced analytics. The role requires a strong foundation in programming languages such as Python, SQL, or Java, along with knowledge of databases, data structures, and processing concepts. You will also utilize Artificial Intelligence, Machine Learning, and Generative AI technologies while navigating modern data platforms and cloud architectures to solve practical business problems and communicate technical findings to both technical and non-technical audiences.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

Skills

Python SQL Java Artificial Intelligence Machine Learning Generative AI data, analytics Business Intelligence Data Visualization Data Structures Data Processing Cloud

What you'll do

Transform raw data into actionable insights to improve client decision-making and innovation.
Utilize AI, machine learning, and analytics technologies to solve complex business challenges.
Develop and implement data processing solutions for diverse clients across multiple industries.
Communicate technical findings and data-driven insights to both technical and business audiences.
Build and maintain modern data architectures on cloud platforms.
Execute data engineering tasks to improve client performance and create measurable business value.

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 to solve business problems.
Must have a foundational understanding of Artificial Intelligence, Machine Learning, Generative AI, or data-driven decision-making concepts.
Must have experience exploring 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.
Exposure to analytics, business intelligence, Artificial Intelligence, or cloud-based data projects (preferred); familiarity with data visualization tools, machine learning concepts, cloud platforms, or modern analytics solutions (preferred).

Save