Data Engineer Contractor - Talent Reserve (contract)

Data Engineer

We are seeking highly skilled Data Engineers Contractors for upcoming assignments.

If selected, the role will involve building the next generation of scalable data pipelines and enterprise architectures. In this role, you will work at the intersection of data engineering, data science, and advanced analytics, utilizing modern cloud data platforms to drive business intelligence initiatives.

We are currently hiring for two distinct experience tracks: highly hands-on technical contributors (3–7 years of experience) and technical leads (8+ years of experience) who can guide offshore teams and serve as the primary technical face for client engagements.

Roles can vary by Hybrid, Remote, Onsite

Key Responsibilities:

Data Pipeline Architecture: Design, build, and maintain scalable, robust data pipelines and enterprise data architectures utilizing Databricks, Snowflake, and dbt.

Data Modeling & Transformation: Transform and model complex, large-scale datasets within Snowflake and Databricks using dbt to support advanced analytics and business intelligence initiatives.

Distributed Processing & Optimization: Leverage Databricks for large-scale, distributed data processing while ensuring data quality, reliability, and continuous performance optimization across cloud data platforms.

Cross-Functional Collaboration: Partner with data scientists, analysts, and software engineers to translate business requirements into efficient, end-to-end data engineering solutions.

Technical Leadership & Client Engagement (For 8+ Years Experience): Act as the primary technical point of contact for client engagements, driving technical strategy and leading offshore engineering resources to deliver high-quality solutions.

Act with integrity, professionalism, and personal responsibility to uphold the firm’s respectful and courteous work environment. Required Skills & Qualifications:

Experience Level: 3 to 7 years of experience for hands-on engineering roles, OR 8+ years of experience for candidates stepping into technical leadership and client-facing capacities.

Core Programming: Advanced proficiency in Python and PySpark .

Modern Data Stack: Extensive hands-on experience with Databricks , Snowflake , and dbt (data build tool).

Data Integration: Experience orchestrating data workflows using Azure Data Factory (ADF) .

Advanced Analytics: Familiarity with Generative AI concepts and Data Science workflows to effectively partner with cross-functional analytics teams.

Architecture: Strong foundational knowledge of general Data Engineering & Architecture best practices, data modeling, and distributed processing.

KPMG LLP (“KPMG”) seeks a contractor in the United States to provide service to KPMG through one of our contracted employer/agency service providers. All applicants for any KPMG role are expected to act with integrity, professionalism, and personal responsibility to uphold the firm’s respectful and courteous work environment. All applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).

Nothing herein shall be deemed to create an employer-employee relationship between contractor and KPMG, nor shall contractor be considered a representative or agent of KPMG.

KPMG LLP and its subsidiaries comply with all local/state regulations in regard to displaying pay rate ranges. The pay rate range(s) displayed is/are specifically for those contracted who will perform work in or reside in the location(s) listed, if selected for the role. Pay is determined based on a variety of factors including market data, ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD, technology), and specific location, for example. Additionally, applicants may be required to apply and become employed by a service provider utilized by KPMG, and final pay rate(s) and/or eligibility for additional benefits may be determined by such provider.

Pay Rate Range

82 - 124 USD hourly