119 Deloitte Python Engineer Jobs Hiring Near You

In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.

Recruiting for this role ends on 12/01/2026

Work you'll do

As a Finance Data & AI Manager specializing in Snowflake, you'll lead teams that design end-to-end solutions from ingestion through trusted data products, AI, and reporting. You will connect finance outcomes to target architecture and guide delivery from strategy through production.

         Lead engagements or workstreams that define end-to-end Snowflake architectures across integration, engineering, storage, security, semantic modeling, AI, and finance consumption

         Guide batch and streaming pipeline design using SQL, Python, Snowpark, Snowpipe, dynamic tables, streams, tasks, and orchestration tools

         Establish governance, lineage, access controls, data quality, observability, service-level objectives, and remediation patterns

         Define reusable finance data products, canonical models, semantic views, APIs, and sharing for planning, close, profitability, treasury, and reporting

         Architect production ML and generative and agentic AI with Cortex AI, MLOps and LLMOps, evaluation, monitoring, and responsible AI controls

         Manage client relationships, estimates, design reviews, deployment, performance and cost outcomes; mentor teams and support demonstrations, proposals, and RFP responses

         Agentic Redesign of Finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting

A successful candidate would possess these skills:

  Ability to work independently and collaborate as part of a team

  Ability to translate finance outcomes into clear architecture decisions

  Effective written, verbal, and executive communication skills

  Meticulous attention to detail and quality of work product

  Ability to build and sustain professional relationships

  Ability to lead projects or workstreams

  Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

  Ability to meet deadlines

  Ability to mentor and provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Within the Finance Transformation offering, our Business Finance team drives strategic value through planning, forecasting, and analytics. We design trusted finance data products, modern platforms, and AI-enabled solutions that deliver timely, actionable insights.

Qualifications

Required:

         6+ years of experience architecting enterprise data, analytics, or AI solutions in a corporate or consulting environment

         4+ years of experience designing Snowflake solutions with SQL and Python across data engineering, security, performance, and multi-environment deployment

         4+ years of experience with finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting

         Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or a related field

         Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

         Limited immigration sponsorship may be available.

Preferred:

         Experience with Snowpark, Snowpipe, dynamic tables, streams and tasks, Cortex AI, semantic views, secure sharing, governance, and data quality

         Experience with data observability, lineage, testing, CI/CD, infrastructure as code, and Snowflake cost/performance management

         Experience deploying ML, retrieval-augmented generation, or agentic AI with evaluation, monitoring, and responsible AI controls

         Experience integrating SAP, Oracle, Workday, Anaplan, or OneStream and delivering Power BI or Tableau semantic models and reporting

         SnowPro certification or a master's degree in a related business or technical field

         2+ years of experience supporting pre-sales, proposals, RFP responses, and mentoring data and AI delivery teams

In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.

Recruiting for this role ends on 12/01/2026

Work you'll do

As a Finance Data & AI Manager specializing in Snowflake, you'll lead teams that design end-to-end solutions from ingestion through trusted data products, AI, and reporting. You will connect finance outcomes to target architecture and guide delivery from strategy through production.

         Lead engagements or workstreams that define end-to-end Snowflake architectures across integration, engineering, storage, security, semantic modeling, AI, and finance consumption

         Guide batch and streaming pipeline design using SQL, Python, Snowpark, Snowpipe, dynamic tables, streams, tasks, and orchestration tools

         Establish governance, lineage, access controls, data quality, observability, service-level objectives, and remediation patterns

         Define reusable finance data products, canonical models, semantic views, APIs, and sharing for planning, close, profitability, treasury, and reporting

         Architect production ML and generative and agentic AI with Cortex AI, MLOps and LLMOps, evaluation, monitoring, and responsible AI controls

         Manage client relationships, estimates, design reviews, deployment, performance and cost outcomes; mentor teams and support demonstrations, proposals, and RFP responses

         Agentic Redesign of Finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting

A successful candidate would possess these skills:

  Ability to work independently and collaborate as part of a team

  Ability to translate finance outcomes into clear architecture decisions

  Effective written, verbal, and executive communication skills

  Meticulous attention to detail and quality of work product

  Ability to build and sustain professional relationships

  Ability to lead projects or workstreams

  Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

  Ability to meet deadlines

  Ability to mentor and provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Within the Finance Transformation offering, our Business Finance team drives strategic value through planning, forecasting, and analytics. We design trusted finance data products, modern platforms, and AI-enabled solutions that deliver timely, actionable insights.

Qualifications

Required:

         6+ years of experience architecting enterprise data, analytics, or AI solutions in a corporate or consulting environment

         4+ years of experience designing Snowflake solutions with SQL and Python across data engineering, security, performance, and multi-environment deployment

         4+ years of experience with finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting

         Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or a related field

         Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

         Limited immigration sponsorship may be available.

Preferred:

         Experience with Snowpark, Snowpipe, dynamic tables, streams and tasks, Cortex AI, semantic views, secure sharing, governance, and data quality

         Experience with data observability, lineage, testing, CI/CD, infrastructure as code, and Snowflake cost/performance management

         Experience deploying ML, retrieval-augmented generation, or agentic AI with evaluation, monitoring, and responsible AI controls

         Experience integrating SAP, Oracle, Workday, Anaplan, or OneStream and delivering Power BI or Tableau semantic models and reporting

         SnowPro certification or a master's degree in a related business or technical field

         2+ years of experience supporting pre-sales, proposals, RFP responses, and mentoring data and AI delivery teams