DBT Data Engineer (hybrid)

Req ID: 379637

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a DBT Data Engineer (hybrid) to join our team in King of Prussia, Pennsylvania (US-PA), United States (US).

We are currently seeking a DBT Data Engineer to join our team in King of Prussia, PA (hybrid) .

Role Overview

The DBT SME serves as the senior engg for data transformation within a modern data stack built on dbt, Snowflake. This role is responsible for implementing dbt transformation models, enforcing modeling best practices, and ensuring that dbt, and traditional data modeling disciplines work together cohesively in a production environment. The ideal candidate brings hands-on dbt expertise, deep Snowflake knowledge, strong Python skills, and the ability to translate conventional data warehouse patterns into maintainable, scalable dbt solutions.

Responsibilities

• Design and develop dbt transformation models targeting Snowflake, applying model layering (staging, intermediate, mart), incremental strategies, snapshot patterns, and dbt macros.

• Apply Snowflake-specific optimizations within dbt models, including clustering keys, transient tables, and appropriate warehouse sizing to control cost and performance.

• Translate traditional data warehouse designs — including dimensional models, ERDs, and legacy SQL transformation logic — into dbt-native patterns.

• Develop and maintain dbt tests (generic and singular), custom Python-based data quality checks, and documentation to ensure transformation correctness and pipeline observability.

• Perform peer code reviews, provide technical mentorship to engineers, and drive adoption of dbt best practices and modeling standards across the team.

• Troubleshoot data discrepancies, pipeline failures, and Snowflake query performance issues, and implement preventive measures.

• Maintain technical documentation, transformation runbooks, and handover materials.

Qualifications

• 5+ years of DBT Core experience — model layering, macros, Jinja templating, incremental materializations, snapshots, and dbt tests.

• 3+ years of hands-on Snowflake experience as a dbt target, including SQL dialect proficiency, query optimization, clustering, and RBAC.

• 3+ years of Python experience applied to data engineering, including pipeline scripting, automation, and data quality tooling.

• 5+ years of SQL experience — complex joins, window functions, CTEs, and aggregations across large datasets.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this hybrid role is $100,000 - $125,000. 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. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. 

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, 

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