Data Engineer, AEP, Remote US

At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company’s growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.

For more than 25 years, NTT DATA have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy.

NTT DATA Services currently seeks a Data Engineer to join our team working 100% Remote in the US as a long-term contractor.

Job Summary :

We are seeking a highly skilled and motivated Data Engineer with specialized expertise in the Adobe Experience Platform (AEP). The ideal candidate will possess a deep understanding of AEP's architecture, strong hands-on experience with Data Distiller, and a broader background in modern data engineering technologies such as Databricks, GraphQL, Snowflake, and Enterprise Data Warehousing (EDW). This role is critical in enabling advanced customer data capabilities across marketing, analytics, and personalization functions.

Key Responsibilities :

• Design, develop, and maintain scalable and reusable data pipelines within Adobe Experience Platform.
• Write, optimize, and manage complex SQL queries using AEP Data Distiller to support data analysis, reporting, and audience activation.
• Model and maintain XDM schemas, datasets, and identity graphs to support consistent and unified customer views.
• Ingest data from multiple systems using both batch and streaming pipelines into AEP.
• Collaborate with cross-functional teams including marketing, analytics, and engineering to ensure data integrity and accessibility.
• Implement data governance, auditing, performance tuning, and workflow monitoring in AEP.
• Leverage Databricks for advanced data transformation and processing pipelines.
• Use GraphQL to interact with APIs and query structured datasets effectively.
• Integrate and manage datasets across Snowflake and EDW platforms for analytics and reporting use cases.
• Document all technical workflows, data mappings, and architecture components for internal and external stakeholder use.

Required Job Qualifications :

Preferred Skills :

About NTT Data :

NTT DATA is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.

NTT DATA is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is $55.00 hr. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and / or company performance.

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