Associate Data Engineer 2026 – Data Services jobs in United States
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IBM · 8 hours ago

Associate Data Engineer 2026 – Data Services

IBM is a global leader in consulting and technology services, and they are seeking an Associate Data Engineer to support clients in their data analytics and engineering needs. The role involves developing scalable data architectures, optimizing data pipelines, and collaborating with clients to enhance their business processes through data-driven insights.

Business DevelopmentBusiness Information SystemsCRMData ManagementFoundational AISoftware
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Works with clients to advocate business process transformation, analyzes the application portfolio across ecosystem to understand the process optimization and automation opportunity and proposes end-to-end process transformation journey, including reimagined process/workflow models, improving business value and outcomes that meet the client objectives, with agility and flexibility
Prioritizes 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
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 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
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:
Works with clients to advocate business process transformation, analyzes the application portfolio across ecosystem to understand the process optimization and automation opportunity
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

Qualification

ETL/ELT projectsData warehouse designSQLPythonData modelingDbtSnowflakeBigQueryAirflowCI/CD basicsData governanceData quality exposureAnalytical mindsetPlanning capabilitiesGenAI literacyCertificationsCommunication skillsProblem-solving mindsetTeamwork orientation

Required

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

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

Company

IBM is an IT technology and consulting firm providing computer hardware, software, infrastructure, and hosting services.

H1B Sponsorship

IBM has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3032)
2024 (3301)
2023 (2160)
2022 (1809)
2021 (1157)
2020 (2669)

Funding

Current Stage
Public Company
Total Funding
unknown
2011-01-14IPO

Leadership Team

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Alain Bénichou
Chief Executive Officer, IBM Greater China Group
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Alex Yang
CTO and Chief Architect
Company data provided by crunchbase