Data Analytics Engineer Jobs at Deloitte with Visa Sponsorship
Deloitte hires Data Analytics Engineers across its consulting and advisory practices, working on client-facing projects that span data infrastructure, pipeline development, and analytics delivery. The firm has a well-established process for sponsoring work visas for this function, supporting candidates through multiple nonimmigrant and immigrant visa pathways.
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Get Access To All JobsSenior Consultant - Financial Services - AI & Data Risk Management
Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.
Work you'll do
As a Senior Consultant in our AI & Data Risk team, you will play a critical role in delivering innovative data-driven solutions for clients across financial services, fintech, and technology industry sectors. You will:
- Serve as a key contributor on multi-disciplinary teams, collaborating closely with managers and client stakeholders to deliver high-quality data and analytics engagements
- Guide and mentor junior team members, providing direction on project tasks and supporting skill development
- Assist in the design, implementation, and optimization of data management solutions - this includes data architecture, platforms, governance, quality, and security initiatives
- Apply your knowledge of Financial Services industry systems and technologies to build robust, scalable solutions
- Support the integration of next-generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI) within client solutions and project deliverables
- Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team
- Collaborate with cross-functional teams - both internal and external - to execute project tasks and fulfill engagement objectives
- Develop and utilize analytics and visualization tools to transform complex data into meaningful insights for clients
- Prepare project documentation, status updates, and client-ready deliverables highlighting progress, technical findings, and recommendations
- Present findings and insights to stakeholders in a clear and compelling manner
The team
Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.
Required Qualifications:
- Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
- 4+ years' experience in data architecture, data management, or data engineering
- 2+ years of experience in the financial services or fintech industry
- Demonstrated proficiency in relevant tools and platforms, including:
- Programming/Scripting: Python, SQL, R, Java, Scala, etc.
- Big Data Tools: Databricks, Snowflake, Apache Spark/Kafka, etc.
- Data Management: Collibra, Alation, Informatica, Alteryx, etc.
- Predictive Analytics: Python, IBM SPSS, SAS, RPL, etc.
- Data Visualization: Tableau, PowerBI, Qlik, etc.
- Data Mining/Data Warehousing: Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.
- Experience and familiarity with:
- Banking regulatory reporting tools (e.g., Axiom)
- Data integration and migration projects in financial services
- Data governance best practices, especially in regulatory contexts
- Strong analytical skills and experience with managing and manipulating large datasets
- Excellent written and verbal communication skills for presenting complex technical information to both technical and non-technical stakeholders
- Demonstrated ability to solve complex problems in fast-paced environments
- Willingness and ability to travel up to 50% on average, depending on business and client needs
- Limited immigration sponsorship may be available
Preferred Qualifications:
- Master's degree in Computer Science, Information Technology, Information Systems, or business-related field
- Related certifications such as PMP, AWS/Azure/GCP Cloud Certification, or CDMP
- 3+ years of experience in the financial services or technology industry
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
For individuals assigned and/or hired to work in New York State, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to New York State and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900.
Senior Consultant - Financial Services - AI & Data Risk Management
Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.
Work you'll do
As a Senior Consultant in our AI & Data Risk team, you will play a critical role in delivering innovative data-driven solutions for clients across financial services, fintech, and technology industry sectors. You will:
- Serve as a key contributor on multi-disciplinary teams, collaborating closely with managers and client stakeholders to deliver high-quality data and analytics engagements
- Guide and mentor junior team members, providing direction on project tasks and supporting skill development
- Assist in the design, implementation, and optimization of data management solutions - this includes data architecture, platforms, governance, quality, and security initiatives
- Apply your knowledge of Financial Services industry systems and technologies to build robust, scalable solutions
- Support the integration of next-generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI) within client solutions and project deliverables
- Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team
- Collaborate with cross-functional teams - both internal and external - to execute project tasks and fulfill engagement objectives
- Develop and utilize analytics and visualization tools to transform complex data into meaningful insights for clients
- Prepare project documentation, status updates, and client-ready deliverables highlighting progress, technical findings, and recommendations
- Present findings and insights to stakeholders in a clear and compelling manner
The team
Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.
Required Qualifications:
- Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
- 4+ years' experience in data architecture, data management, or data engineering
- 2+ years of experience in the financial services or fintech industry
- Demonstrated proficiency in relevant tools and platforms, including:
- Programming/Scripting: Python, SQL, R, Java, Scala, etc.
- Big Data Tools: Databricks, Snowflake, Apache Spark/Kafka, etc.
- Data Management: Collibra, Alation, Informatica, Alteryx, etc.
- Predictive Analytics: Python, IBM SPSS, SAS, RPL, etc.
- Data Visualization: Tableau, PowerBI, Qlik, etc.
- Data Mining/Data Warehousing: Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.
- Experience and familiarity with:
- Banking regulatory reporting tools (e.g., Axiom)
- Data integration and migration projects in financial services
- Data governance best practices, especially in regulatory contexts
- Strong analytical skills and experience with managing and manipulating large datasets
- Excellent written and verbal communication skills for presenting complex technical information to both technical and non-technical stakeholders
- Demonstrated ability to solve complex problems in fast-paced environments
- Willingness and ability to travel up to 50% on average, depending on business and client needs
- Limited immigration sponsorship may be available
Preferred Qualifications:
- Master's degree in Computer Science, Information Technology, Information Systems, or business-related field
- Related certifications such as PMP, AWS/Azure/GCP Cloud Certification, or CDMP
- 3+ years of experience in the financial services or technology industry
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
For individuals assigned and/or hired to work in New York State, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to New York State and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900.
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Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at Deloitte Jobs
Align your credentials to consulting delivery
Deloitte's Data Analytics Engineer roles are client-facing, so your resume should show project-based delivery alongside technical skills. Highlight experience building pipelines or dashboards in engagement contexts, not just internal tooling.
Target practice areas with recurring openings
Deloitte's Government and Public Services, Financial Advisory, and Technology practices consistently post Data Analytics Engineer roles. Applying within a specific practice area signals fit and improves your chances of reaching a hiring manager with active headcount.
Request H-1B transfer language in your offer
If you're already on an H-1B with another employer, Deloitte can file a cap-exempt transfer petition. Ask your recruiter to confirm this explicitly in writing before you resign, since the transfer must be filed before your current status lapses.
Use Migrate Mate to filter open roles by visa type
Deloitte posts Data Analytics Engineer roles across multiple practice areas simultaneously. Use Migrate Mate to filter active openings by the specific visa sponsorship type relevant to you, so you're applying to roles where your visa pathway is already confirmed.
Data Analytics Engineer at Deloitte jobs are hiring across the US. Find yours.
Find Data Analytics Engineer at Deloitte JobsFrequently Asked Questions
Does Deloitte sponsor H-1B visas for Data Analytics Engineers?
Yes, Deloitte sponsors H-1B visas for Data Analytics Engineers. The firm participates in the annual H-1B lottery for new cap-subject petitions and also files cap-exempt transfers for candidates already holding H-1B status with another employer. Sponsorship is handled through Deloitte's internal immigration team, and the process typically begins after a formal offer is accepted.
How do I apply for Data Analytics Engineer jobs at Deloitte?
You can apply directly through Deloitte's careers portal or browse open roles filtered by visa sponsorship type on Migrate Mate. Deloitte's application process includes a resume screen, technical assessments focused on data engineering tools and SQL, and multiple rounds of interviews assessing both technical delivery and client communication skills. Tailoring your application to a specific practice area improves your visibility with hiring managers.
Which visa types does Deloitte commonly use for Data Analytics Engineer roles?
Deloitte sponsors H-1B, H-1B1, and E-3 visas for Data Analytics Engineers, covering a broad range of nationalities. Australian citizens are eligible for the E-3, which has no lottery and allows two-year renewable periods. For longer-term immigration, Deloitte also initiates EB-2 and EB-3 Green Card sponsorship through PERM labor certification for qualifying employees.
What qualifications does Deloitte expect for Data Analytics Engineer roles?
Deloitte typically expects a bachelor's degree in computer science, information systems, engineering, or a related technical field. Hands-on experience with cloud platforms such as AWS, Azure, or GCP, along with proficiency in SQL, Python, and data pipeline tools like dbt or Apache Spark, is expected. Consulting-relevant experience, including working on client deliverables or cross-functional data projects, differentiates competitive applicants.
How do I navigate the visa filing timeline after receiving an offer from Deloitte?
After accepting an offer, Deloitte's immigration team initiates the visa petition, which requires your employer to first file a Labor Condition Application with the DOL before USCIS can process the H-1B or E-3 petition. For cap-subject H-1B cases, you must be registered in the March lottery before a petition can be filed, meaning your start date cannot be earlier than October 1 of that fiscal year. Confirming your timeline with your recruiter before signing is essential.
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