Sr. Associate, Data Engineer - PySpark

KPMG LLP; Dallas (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

KPMG LLP is seeking a Sr. Associate, Data Science Engineer to join our Consulting practice in the United States. This role translates complex analytics problems into actionable technical approaches and communicates results to stakeholders across industries.

You will plan engagement objectives, retrieve and process diverse data sources, and lead teams in exploratory data analysis, hypothesis testing, and MLOps, delivering end-to-end analytics using Python, PySpark, SQL, Databricks, and Snowflake.

Qualifications

• Minimum of three years of experience in requirements gathering and quality management using analytics and software development processes for NLP, ML on unstructured data, and/or information retrieval.
• Proven experience delivering end-to-end analytics and data engineering solutions with hands-on Python, PySpark, SQL, Databricks and Snowflake, partnering with clients and cross-functional teams.
• Must be authorized to work in the U.S. without visa sponsorship.

Responsibilities

• Translate advanced analytics problems into technical approaches and communicate results to business stakeholders across industries.
• Plan engagement objectives, deliver milestones, and work with clients to discover, retrieve, prepare, and process diverse data sources.
• Collaborate with Tax, Audit and Advisory to advance data science understanding and work with AI providers to create first-in-market solutions.
• Utilize structured problem-solving approaches and communicate results to executive audiences.
• Lead teams in data extraction, exploratory analysis, and developing ML algorithms and data science solutions.
• Uphold integrity, professionalism, and a respectful work environment.

Skills

Requirements gathering

Quality management

NLP

Machine learning on unstructured data

Information retrieval

Communication

Education

Bachelor's degree in Computer Science/Statistics/Data Science/Engineering

Tools

Python

PySpark

SQL

Databricks

Snowflake

Job description

KPMG is currently seeking a Sr. Associate, Data Science Engineer to join our Consulting practice.

Responsibilities:

• Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains. Communicate technical details of solution, including mathematical formulations, alternatives, and impact on modeling approach to business stakeholders across industries (technology, financial services, emerging tech, government agencies - federal, state and local, and utilities).
• Plan engagement objectives, key deliverables, and deliver on engagement milestones by following analytics processes; Work with clients to discover, retrieve, prepare, and process a variety of data sources (social media, news, internal/external documents, emails, financial, and operational).
• Work internally within KPMG's other areas within Tax, Audit and Advisory to advance the client understanding of Data Science, Artificial Intelligence, and Advanced Analytics; Work very closely with emerging technologies group within AI service providers (e.g., AWS, GCP, Azure) to provide a first-in-market solution approaches to complex business problems.
• Utilize structured approaches to solving problems, managing risks, and multiple responsibilities using structured approaches for operational excellence; Communicate results to executive level audiences.
• Leverage deep technical knowledge to build, review, and quality control code to prepare, extract, and enrich data sources, working with the business to understand available resources and constraints around data. Lead team in exploratory data analysis, generating and testing working hypotheses, and uncovering interesting trends and relationships. Provide expert oversight for teams building machine learning algorithms and data science solutions.
• Act with integrity, professionalism, and personal responsibility to uphold KPMG’s respectful and courteous work environment

Qualifications:

• Minimum of three years of experience in requirements gathering, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds.
• Bachelor's degree from an accredited college/university in Computer Science, Statistics, Data Science, Engineering, or related fields is preferred
• Proven experience delivering end-to-end analytics and data engineering solutions, including data discovery, cleansing, model development, validation, deployment, and MLOps, with hands‑on expertise in Python, PySpark, SQL, Databricks, and Snowflake, while partnering with clients and cross‑functional teams to solve complex business challenges and drive measurable outcomes.
• Ability to apply artificial intelligence techniques to achieve concrete business goals; ability to work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Provide assistance, and resolve problems, using solid problem‑solving skills and strong verbal/written communication.
• Ability to utilize a diverse array of technologies and tools as needed, to deliver insights, such as fluency in Python or R; Experience with SQL and cloud technology preferred; Experience with command‑line scripting, data structures, and algorithms; Ability to work in Linux and/or cloud environments; Ability to write production level code.
• Ability to travel
• 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-