Data & Analytics Associate Data Engineer 2026 - Data Services Multiple Cities

Overview A career in IBM Consulting is rooted by long‑term relationships and close collaboration with clients across the globe. 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 ground‑breaking 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 process optimisation and automation opportunities and proposes end‑to‑end process transformation journeys, including reimagined process/workflow models, improving business value and outcomes that meet client objectives, with agility and flexibility. Prioritises and translates client requirements and defines current and future operational scenarios (processes, models, use cases, plans and solutions) and works with client business and the architect to ensure proper translation of business requirements to solution requirements. Locations Atlanta, GA Austin, TX Chicago, IL Key Responsibilities 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 analyse 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 visualisations, 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 prioritise and translate client requirements and define current and future operational scenarios (processes, models, use cases, plans and solutions). Work collaboratively with 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, utilising 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: Works with clients to advocate business process transformation, analyses the application portfolio across ecosystem to understand the process optimisation and automation opportunities. Strong communication skills and 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. Required education High School Diploma/GED 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 modelling, 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. General skills: GenAI literacy – prompt engineering, RAG, fine‑tuning, and evaluation of generative models. Other relevant job details IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: Healthcare benefits including medical and prescription drug coverage, dental, vision, and mental health and well‑being. Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counselling, life insurance, short‑ and long‑term disability coverage, and opportunities for performance‑based salary incentive programmes. Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM policy, and other paid care leave programmes. IBM also offers paid family leave benefits to eligible employees where required by applicable law. Training and educational resources on our personalised, AI‑driven learning platform where IBMers can grow skills and obtain industry‑recognised certifications to achieve their career goals. Diverse and inclusive employee resource groups, giving and volunteer opportunities, and discounts on retail products, services and experiences. We consider qualified applicants with criminal histories, consistent with applicable law. IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. Is this role a commissionable/sales incentive based position? #J-18808-Ljbffr