Associate Data Engineer 2027 – AI & Analytics joins the AI & Analytics practice within an IBM Consulting FutureNow Center. In this role, you will work with data, analytics, and Artificial Intelligence technologies to help diverse clients across sectors like healthcare, finance, and manufacturing transform raw data into actionable insights that improve decision-making and accelerate innovation. You will collaborate with a multidisciplinary team of consultants and specialists to solve complex business challenges through technical solutions. The position requires foundational knowledge of programming languages such as Python, SQL, and Java, along with an understanding of databases, data structures, and processing concepts. Candidates should also possess familiarity with Machine Learning, Generative AI, cloud technologies, and modern data platforms. You will be responsible for communicating technical findings to both technical and business audiences while building high-value data products.
What does a Data Engineer earn?
Median $183138 from 214 postings across 58 companies.
Transform raw data into actionable insights to improve client decision-making and innovation.
Utilize AI, machine learning, and analytics technologies to create business value for diverse clients.
Develop and implement data processing solutions to solve complex business challenges.
Communicate technical findings and data-driven insights to both technical and business audiences.
Work on real-world projects across various industries including healthcare, finance, and manufacturing.
Build and maintain modern data architectures and cloud-based data platforms.
Apply programming skills in Python, SQL, or Java to develop data engineering solutions.
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 Artificial Intelligence, 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.
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).
Python
SQL
Java
Artificial Intelligence
Machine Learning
Generative AI
data, analytics
Business Intelligence
Data Visualization
Data Structures
Data Processing
Cloud
Artificial Intelligence
Machine Learning
Generative AI
Python
SQL
Java
Data Structures
Data Processing
Business Intelligence
Data Visualization
Data Architecture
Python
SQL
Java
Artificial Intelligence
Machine Learning
Generative AI
Data Engineering
ETL
ELT
Data Visualization
Data Pipelines
Analytics
Automation
Data Structures
Artificial Intelligence
Machine Learning
Generative AI
Data Engineering
Python
SQL
Java
ETL
ELT
Data Visualization
Data Pipelines
Analytics
Automation
Data Structures
Data Engineering
Artificial Intelligence
Machine Learning
Generative AI
Python
SQL
Java
ETL
ELT
Data Pipelines
Data Visualization
Analytics
Automation
Data Structures