Associate Data Engineer

Come forge the future like an IBMer! Ready to think boldly, work with some of the world’s most recognized brands, and kick-start your career? Welcome to the IBM’s Associate Program for university hires. From day one, you’ll collaborate with global clients and contribute to projects that help organizations solve their toughest challenges across digital transformation, cloud strategy, AI adoption, and process redesign – working alongside a global cohort of diverse, ambitious peers. As an Associate, you’ll have access to industry-recognized certifications, digital badges, and a minimum of 40 hours of structured learning per year on IBM’s AI-driven learning platform – supported by coaches, mentors, and thriving professional communities across practices. IBM’s culture of internal mobility means you’ll have the freedom to explore new technologies, industries, and career paths as your interests evolve. Bring your curiosity. Grow your skills. Build what’s next – like an IBMer. To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry‑level positions. You’ll receive a status update email for each application, so be sure to check your IBM Careers account regularly — it’s the best way to get a centralized view of which roles you have active applications against. Your role and responsibilities As an Associate Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You’ll contribute to data gathering, storage, and both batch and real‑time processing. Collaborating closely with diverse teams, you’ll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you’ll tackle obstacles related to database integration and untangle complex, unstructured data sets. These positions are anticipated to start in 2027. Key Responsibilities may include: Assisting 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 (processes, models, use cases, plans, and solutions). Work collaboratively 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. Consulting Skills: Advocates business process transformation by analyzing application portfolios across the ecosystem to identify process optimization and automation opportunities, leveraging planning, project management, and Agile methodologies to drive effective solutions. Demonstrates strong communication, problem‑solving, adaptability, and teamwork skills, with a collaborative mindset, curiosity to learn, and the ability to clearly articulate ideas, ask insightful questions, and recommend solutions. Required education High School Diploma/GED Preferred education Bachelor's Degree Required technical and professional expertise Ability to incorporate a variety of statistical and machine learning techniques. Basic understanding of Cloud (AWS,Azure,etc). Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer. Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. Ability to use leading edge tools such as Linux, SQL, Python, Spark,Hadoopand Java. Exposure to ETL/ELT projects, data warehouse design, analytics pipelines, capstone data engineering Willingness to travel up to 100%, based on project requirements. Preferred technical and professional experience Preferred Bachelor’s degree in a related field (Computer Science, Data Science, Statistics, Math, MIS, Engineering). Preferred Skills/Tech: SQL, Python,dbt, Snowflake, BigQuery, Airflow, data modeling, CI/CD basics. General skills: GenAI literacy - prompt engineering, RAG, fine‑tuning, and evaluation of generative models. ABOUT BUSINESS UNIT IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on‑going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can‑do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - 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 programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship. The compensation range and benefits for this position are based on a full‑time schedule for a full calendar year. The salary will vary depending on your job‑related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro‑rated for those who start working during the calendar year. Job Title Date posted 13-Aug-2026 Job ID 129118 City / Township / Village Austin State / Province Texas Country United States Work arrangement Onsite Area of work Data & Analytics Employment type Regular Contract type Regular Projected Minimum Salary per year 71,200.00 Projected Maximum Salary per year 106,800.00 Position type Entry Level Up to 100% or 5 days a week (home on weekends - based on project requirements) Company (0147) International Business Machines Corporation Shift General (daytime) Is this role a commissionable/sales incentive based position? #J-18808-Ljbffr