Associate Data Engineer – Data Services - 2027 is a role within the Data Services practice at an IBM Consulting FutureNow Center. In this position, you will support the design, integration, movement, and management of data across diverse enterprise environments to transform information into actionable insights for clients in sectors like healthcare, finance, and manufacturing. You will work alongside consultants and cloud specialists to modernize data ecosystems and solve complex business challenges. The role requires a strong foundation in Python, SQL, Java, and other programming languages used for data engineering and analytics. Key technical competencies include understanding databases, data structures, ETL/ELT processes, and modern data architectures. Candidates should also possess skills in cloud computing concepts and 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.
Transform raw data into actionable insights to improve client decision-making and innovation.
Support the design, integration, movement, and management of data across enterprise environments.
Modernize client data ecosystems using cloud technologies and modern data architectures.
Execute ETL/ELT processes to manage large-scale data projects for diverse industries.
Communicate technical findings and data-driven insights to both technical and business audiences.
Solve complex business challenges by applying programming, data, and analytical skills.
Utilize AI tools to automate business processes and analyze complex datasets.
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 Python, SQL, Java, or other programming languages used for data engineering and analytics.
Must have a foundational understanding of databases, data structures, data processing, and analytics concepts to solve business problems.
Must have exposure to data engineering, ETL/ELT, reporting, cloud technologies, or data projects through coursework, internships, research, hackathons, or personal learning.
Must understand cloud computing concepts and modern data architectures.
Must be able to communicate technical findings and data-driven insights to both technical and business audiences.
Must have demonstrated application of programming, data, or analytical skills through coursework, projects, research, internships, hackathons, or personal learning.
Experience with data engineering, cloud-based data solutions, analytics, or large-scale data management projects is preferred.
Python
SQL
Java
Artificial Intelligence
Machine Learning
Generative AI
data, analytics
Business Intelligence
Data Visualization
Data Structures
Data Processing
Cloud
Python
SQL
Java
Artificial Intelligence
Machine Learning
Generative AI
Data Engineering
ETL
ELT
Data Visualization
Data Pipelines
Analytics
Automation
Data Structures
Python
SQL
Java
Artificial Intelligence
Machine Learning
Generative AI
Data Engineering
ETL
ELT
Data Visualization
Data Pipelines
Data Architecture
Analytics
Automation
Artificial Intelligence
Machine Learning
Generative AI
Data Engineering
Python
SQL
Java
ETL
ELT
Data Visualization
Data Pipelines
Analytics
Automation
Data Structures