Data Engineer

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

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Your Role And Responsibilities

As a Data Engineer specializing in Data Platforms, you will develop applications on Big Data technologies, including API development. This role requires a strong foundation in traditional Application Development, along with knowledge of Analytics libraries, open-source Natural Language Processing, and statistical and big data computing libraries. Your primary responsibilities will include:

• Design and Develop Applications: Develop applications on Big Data technologies, including API development, utilizing expertise in traditional Application Development and knowledge of Analytics libraries.
• Write and Debug Code: Write and debug complex code, applying technical abilities to ensure high-quality solutions.
• Apply Technical Expertise: Apply knowledge of open-source Natural Language Processing, and statistical and big data computing libraries to deliver robust data platforms.
• Implement Big Data Technologies: Implement Big Data technologies to support the development of data-driven solutions.
• Deliver High-Quality Solutions: Deliver high-quality solutions, leveraging exceptional technical abilities to meet business needs.

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Preferred Education

Master's Degree

Required Technical And Professional Expertise

2-3 years in data engineering, analytics engineering, or related data platform role with hands-on technical experience

Solid working knowledge of Snowflake (warehouses, tables, basic security, RBAC) and modern data stack tools (dbt, SQL, Python)

Ability to develop and maintain data pipelines, transformations, and SQL queries in production environments

Familiarity with cloud platforms (AWS, Azure, or GCP) including object storage, compute services, and IAM; version control workflows (GitLab or equivalent)

Understanding of data architecture principles and ability to implement components of Medallion-style data models

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Preferred Technical And Professional Experience

• Hands-on experience with dbt (materializations, testing, documentation) in a team environment
• Familiarity with Snowflake advanced features (Streams, Tasks, Dynamic Tables) or infrastructure-as-code tools (Terraform)
• Experience working on customer-facing projects or consulting engagements