Data Engineer 2026- Data Platforms
IBM · Austin, TX
- On site
- Full-time
- $100,000 / year
- Austin, TX
Job highlights
- Advance client's hybrid cloud and AI journey.
- Solve client challenges with data and technology.
- Develop data analytics and engineering skills.
- Collaborate with cross-functional teams globally.
- Grow career with continuous learning opportunities.
About the role
About IBM Consulting
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.
Associate Consultant Role
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
As an Associate Business Transformation Consultant (BTC) at IBM, you'll work right at the intersection of technology, people, and process, helping our clients transform how they adapt to shifts in the market, and more closely align their business strategy and vision. You'll help clients understand leading technologies and the impact they can have on traditional business processes, as well as an opportunity to build a powerful portfolio of interesting and rewarding experiences. Leveraging a growth mindset, you're ready and willing to deliver business value, wherever needed. In your role, you may be responsible for:
- Projecting business values of a solution in client-relevant terms and drive adoption of the KPI impact with key client stakeholders
- Developing communications tailored to specific audiences while working in an agile, collaborative environment
- Using IBM's Design Thinking to help solve client's challenges and analyze data to support conclusions and strategies
Locations
We have positions open in these locations:
- Atlanta, GA
- Austin, TX
- Chicago, IL
- Dallas, TX
- Houston, TX
Key Responsibilities
- Data Analysis: Collect and analyze data to identify trends, providing clients with actionable insights to enhance marketing, operational, and business practices.
- Data Visualization: Create visually compelling and user-friendly data visualizations, dashboards, and reports to effectively communicate findings to both technical and non-technical stakeholders.
- Data Engineering: Work with ETL/ELT ingestion pipelines.
- Data Quality Assurance: Ensure the integrity, accuracy, and reliability of data through rigorous data cleaning, validation, and preprocessing procedures.
- Client Collaboration: Work with 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 Client and the Architect to ensure proper translation of business requirements to solution requirements.
- Presentation of Insights: Present analytical findings and recommendations clearly and concisely, demonstrating the value of data-driven decision-making to clients.
- Cross-Functional Collaboration: Work with cross-functional teams to tackle complex business problems, utilizing your data expertise to drive innovative solutions.
- Continuous Learning: 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, analyzes the application portfolio across ecosystem to understand the process optimization and automation opportunity.
Required Skills
- 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.
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 on 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.
Key skills/competency
- Data Engineering
- ETL/ELT
- SQL
- Python
- Data Warehousing
- Data Modeling
- Cloud Platforms (Snowflake, BigQuery)
- Data Analysis
- Data Visualization
- Consulting
Skills & topics
- Data Engineer
- ETL
- ELT
- SQL
- Python
- Snowflake
- BigQuery
- Data Warehousing
- Data Modeling
- Consulting
How to get hired
- Tailor your resume: Highlight ETL/ELT, SQL, Python, and data modeling experience. Emphasize consulting and problem-solving skills.
- Showcase your projects: Detail capstone projects or practical experience in data warehousing and analytics pipelines.
- Demonstrate technical skills: Be ready to discuss Snowflake, BigQuery, Airflow, and CI/CD basics in interviews.
- Express your curiosity: Articulate your passion for learning new data stack trends and GenAI concepts.
- Prepare for travel: Be open about your willingness to travel up to 100% for client projects.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key technical skills required for the Data Engineer role at IBM Consulting?
- For the Data Engineer role at IBM Consulting, key technical skills include experience with ETL/ELT projects, data warehouse design, analytics pipelines, SQL, Python, dbt, Snowflake, BigQuery, and Airflow. Familiarity with data modeling, CI/CD basics, and pipeline design for infrastructure, vector databases, deployment, and scalability is also important. General analytical mindset and data governance or quality exposure are beneficial.
- Does the Data Engineer position at IBM Consulting involve client interaction and travel?
- Yes, this Data Engineer position involves significant client interaction as you'll collaborate with project teams and clients to understand requirements and present insights. The role also requires a willingness to travel up to 100%, based on project needs.
- What kind of educational background is preferred for this Data Engineer role at IBM?
- IBM Consulting prefers a Bachelor's degree for this Data Engineer role. A degree in a related field such as Computer Science, Data Science, Statistics, Math, MIS, or Engineering is ideal. Some practical project experience or relevant training, even with a Bachelor's, is beneficial.
- How important is experience with specific cloud platforms like Snowflake or BigQuery for this Data Engineer job?
- Experience with specific cloud platforms like Snowflake and BigQuery is highly valued for this Data Engineer role. You are expected to have skills in these or similar platforms, as they are part of the modern data stack and crucial for building data pipelines and warehouses.
- What are the 'soft skills' that IBM Consulting looks for in a Data Engineer candidate?
- IBM Consulting seeks candidates with strong communication skills, a problem-solving mindset, curiosity, adaptability, and a proactive learning attitude. They also value planning capabilities, understanding of Agile methodology, and a strong teamwork orientation for collaborative environments.
- Is there an opportunity to work with newer technologies like Generative AI in this Data Engineer role?
- Yes, the role encourages continuous learning and staying informed about the latest advancements. Preferred technical experience includes GenAI literacy, covering prompt engineering, RAG, fine-tuning, and evaluation of generative models, indicating opportunities to work with these technologies.