Associate Data Engineer 2026 - Data Services

Introduction You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long‑term career growth and development opportunities in an environment that embraces your unique skills and experience. As an Associate Consultant, you will develop and apply analytical, interpersonal, creative thinking, problem‑solving, and leadership skills from day one. This generalist role allows you to learn and apply foundational skills in data analytics and data engineering while working closely with some of the best professionals in the industry. Your Role And Responsibilities Works with clients to advocate business process transformation, analyzes the application portfolio across the ecosystem to understand the process optimization and automation opportunity and proposes an end‑to‑end process transformation journey, including reimagined process/workflow models and improving business value and outcomes that meet the client objectives with agility and flexibility. Prioritizes and translates client requirements, defines current and future operational scenarios (processes, models, use cases, plans and solutions) and works with the client business and the architect to ensure proper translation of business requirements to solution requirements. Key Responsibilities May Include Assist in designing and implementing scalable data architecture and management systems tailored 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, operational, and business practices. Participate in troubleshooting data‑related issues, working to solve challenges and data inconsistencies. Create visually compelling and user‑friendly data visualizations, dashboards, and reports to effectively communicate findings to both technical and non‑technical stakeholders. Ensure the integrity, accuracy, and reliability of data through rigorous data cleaning, validation, and preprocessing procedures. Work with the project team to prioritize and translate client requirements and define current and future operational scenarios, collaborating with the client and the architect to ensure proper translation of business requirements to solution requirements. Present analytical findings and recommendations clearly and concisely, demonstrating the value of data‑driven decision‑making to clients. Work with cross‑functional teams to tackle complex business problems, utilizing your data expertise to drive innovative solutions. Stay informed about the latest trends and advancements in the modern data stack, bringing new ideas and best practices to the team. Consulting Skills: Strong communication skills and the ability to articulate thoughts clearly and concisely. Problem‑solving mindset with the ability to ask questions, seek to understand, and recommend solutions. Curious and eager to learn new skills, with the ability to adapt to changes easily. Planning capabilities with an understanding of basic project management skills and Agile methodology. Strong teamwork orientation, contributing positively to a collaborative environment. Preferred Education Bachelor’s Degree Required Technical And Professional Expertise Experience: ETL/ELT projects, data warehouse design, analytics pipelines, capstone data engineering. Skills/Tech: SQL, Python, dbt, Snowflake, BigQuery, Airflow, data modeling, CI/CD basics. Skills include a range of package workflow tool experience including one of the following IBM BAW, Lombardi, iLog, Appian, Pega, etc. Data engineer skills: pipeline design, infrastructure, vector databases, deployment, and scalability. Other: strong analytical mindset, data governance, or data quality exposure. Willingness to travel up to 100%, based on project requirements. Preferred Technical And Professional Experience Bachelor’s degree in a related field (Computer Science, Data Science, Statistics, Math, MIS, Engineering). Minimum of 1 year of practical project experience or relevant training. Certifications: SnowPro Core, Google Associate Cloud Engineer or Data Engineer coursework. General skills: GenAI literacy – prompt engineering, RAG, fine‑tuning, and evaluation of generative models. Start Date Positions are anticipated to start in 2026. Locations Atlanta, GA; Austin, TX; Chicago, IL; Dallas, TX; Houston, TX. #J-18808-Ljbffr IBM