Associate Data Engineer: AI, Cloud & Data Pipelines

IBM; Austin (TX); On-site; USD 71,000 - 107,000; Full time

Job summary

IBM Austin is seeking an entry-level Associate Data Engineer to harness data for actionable insights. You will support data gathering, storage, and batch/real-time processing across cloud environments.

Collaborating with diverse teams, you’ll help select data management systems, tackle data integration challenges, and create clear visualizations for stakeholders while ensuring data quality and reliability.

Qualifications

• High School Diploma or GED required.
• Bachelor's degree preferred for related fields.
• Ability to use Java, Python, Scala to build data pipelines and perform data wrangling.
• Experience with ETL/ELT tools and data integration concepts is a plus.

Responsibilities

• Assisting in designing and implementing scalable data architecture and management systems for modern cloud environments.
• Work on optimizing existing data pipelines and processes for improved performance.
• Work with ETL/ELT ingestion pipelines.
• Collect and analyze data to identify trends, providing clients with actionable insights to enhance marketing, operations, and business practices.
• Present analytical findings and recommendations clearly and concisely, demonstrating data-driven decision-making value to clients.
• Create data visualizations, dashboards, and reports for technical and non-technical stakeholders.
• Ensure data integrity, accuracy, and reliability through cleaning, validation, and preprocessing procedures.
• Translate client requirements and define current and future operational scenarios with the Architect to ensure proper solution requirements.
• Collaborate with project teams and clients to meet data-related objectives and timelines.

Skills

Python

Java

SQL

ETL

Cloud basics

Data modeling

Education

High School Diploma/GED

Bachelor's Degree

Tools

Linux

Spark

Hadoop

dbt

Snowflake

BigQuery

Airflow

Job description

IBM Austin is seeking an entry-level Associate Data Engineer to harness data for actionable insights. You will support data gathering, storage, and batch/real-time processing across cloud environments.

Collaborating with diverse teams, you’ll help select data management systems, tackle data integration challenges, and create clear visualizations for stakeholders while ensuring data quality and reliability.