Associate Data Engineer - Cloud, AI & Analytics

IBM; Dallas (TX); On-site; USD 85,000 - 110,000; Full time

Job summary

IBM is seeking an Associate Data Engineer to harness data for stories and patterns, supporting batch and real-time processing. You will work with diverse teams to select data management systems and identify data requirements for insightful analysis.

The role involves optimizing pipelines, ETL/ELT work, and delivering dashboards and reports to clients, with emphasis on data quality and clear communication of findings. Roles may start in 2027.

Qualifications

• Bachelor's degree in a related field is required.
• Experience or ability to apply statistics and machine learning techniques.
• Basic understanding of cloud platforms (AWS, Azure, etc.).
• Proficiency in programming languages used to build data pipelines (Java, Python, Scala).
• Experience with ETL tools and data integration or federation tooling.
• Familiarity with Linux, SQL, Python, Spark, Hadoop, and Java.
• Willingness to travel up to 100% based on project requirements.

Responsibilities

• Assist in designing scalable data architecture and management systems for modern cloud environments.
• Optimize data pipelines and ETL/ELT processes for performance.
• Collect and analyze data to identify trends and provide actionable insights.
• Create data visualizations, dashboards, and reports for stakeholders.
• Ensure data integrity through cleaning, validation, and preprocessing.
• Translate client requirements into solution requirements with the project team.

Skills

Statistics & ML

Cloud basics

Programming: Java/Python/Scala

ETL tools

SQL/Spark/Hadoop

Data pipeline design

GenAI literacy

Education

Bachelor's degree

Tools

Linux

Snowflake

Job description

IBM is seeking an Associate Data Engineer to harness data for stories and patterns, supporting batch and real-time processing. You will work with diverse teams to select data management systems and identify data requirements for insightful analysis.

The role involves optimizing pipelines, ETL/ELT work, and delivering dashboards and reports to clients, with emphasis on data quality and clear communication of findings. Roles may start in 2027.