Data Consultant Jobs
Data Consultant jobs are open across financial services, healthcare, retail, and technology, from junior analyst to principal and director levels, with specializations in data strategy, analytics engineering, and business intelligence. Find a role that fits from the openings below and apply directly.
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As a databricks engineer, you will help design, build, and support data management solutions that enable reliable, scalable, and secure use of data across business and technology functions. In this role, you will collaborate with cross-functional stakeholders to develop data pipelines, improve data quality, and support data governance and integration efforts. The ideal candidate brings hands-on experience in data engineering and the ability to manage multiple priorities in a dynamic environment.
Work you'll do
As a US Delivery Center Senior Consultant, Data Engineering and Conversion Solutions on the team, you will:
- Design, build, test, and maintain data pipelines and data integration solutions
- Support data modeling, transformation, and storage processes across structured and unstructured data sources
- Monitor data workflows, troubleshoot issues, and implement fixes to improve reliability and performance
- Collaborate with business, analytics, and technology teams to define data requirements and support delivery priorities
- Apply data quality, metadata, and governance standards across data assets and processes
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal 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
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.
The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.
Qualifications
Required:
- Bachelor's degree required
- Must be able to obtain and maintain the required clearance for this role
- 2+ years of experience in data engineering, data integration, or data management, including 2+ years of experience with Structured Query Language (SQL)
- 2+ years of experience building or supporting extract, transform, and load (ETL) or extract, load, and transform (ELT) pipelines
- 2+ years of experience with Python and PySpark
- 1+ years of experience with Databricks and cloud-based data platforms, including data pipeline development and data transformation
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred:
- Experience with data warehousing concepts and dimensional data modeling
- Experience with data quality, metadata, or data governance processes
- Experience working with application programming interfaces (APIs) and system integrations
- Experience supporting Agile delivery teams
- Experience in a professional services environment
- Hybrid Work Model: Operate under a hybrid system requiring residence within a commutable distance to one of the US Delivery Center locations
- Co-location Expectation: Spend up to 30% of working time co-located at an assigned office for orchestrated opportunities, including projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location
As a databricks engineer, you will help design, build, and support data management solutions that enable reliable, scalable, and secure use of data across business and technology functions. In this role, you will collaborate with cross-functional stakeholders to develop data pipelines, improve data quality, and support data governance and integration efforts. The ideal candidate brings hands-on experience in data engineering and the ability to manage multiple priorities in a dynamic environment.
Work you'll do
As a US Delivery Center Senior Consultant, Data Engineering and Conversion Solutions on the team, you will:
- Design, build, test, and maintain data pipelines and data integration solutions
- Support data modeling, transformation, and storage processes across structured and unstructured data sources
- Monitor data workflows, troubleshoot issues, and implement fixes to improve reliability and performance
- Collaborate with business, analytics, and technology teams to define data requirements and support delivery priorities
- Apply data quality, metadata, and governance standards across data assets and processes
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal 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
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.
The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.
Qualifications
Required:
- Bachelor's degree required
- Must be able to obtain and maintain the required clearance for this role
- 2+ years of experience in data engineering, data integration, or data management, including 2+ years of experience with Structured Query Language (SQL)
- 2+ years of experience building or supporting extract, transform, and load (ETL) or extract, load, and transform (ELT) pipelines
- 2+ years of experience with Python and PySpark
- 1+ years of experience with Databricks and cloud-based data platforms, including data pipeline development and data transformation
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred:
- Experience with data warehousing concepts and dimensional data modeling
- Experience with data quality, metadata, or data governance processes
- Experience working with application programming interfaces (APIs) and system integrations
- Experience supporting Agile delivery teams
- Experience in a professional services environment
- Hybrid Work Model: Operate under a hybrid system requiring residence within a commutable distance to one of the US Delivery Center locations
- Co-location Expectation: Spend up to 30% of working time co-located at an assigned office for orchestrated opportunities, including projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location
Data Consultant Jobs by Experience Level
Top Cities Hiring Data Consultants
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Find Data Consultant JobsData Consultant Job Market
Who's Hiring
- Amazon Web Services24
- Guidehouse14
- Deloitte13
- ZS Associates10
- Kaiser Permanente8
Top Industries Hiring
- Consulting & Professional Services44
- Technology & Software33
- Investment & Asset Management10
- Accounting & Auditing9
- Distribution & Wholesale6
What Employers Look For
The qualifications that appear most often in data consultant jobs.
- Proficiency in SQL and at least one major BI tool such as Tableau or Power BI
- Experience translating business questions into data requirements and actionable recommendations
- Hands-on work with Python or R for data analysis, modeling, or automation
- Bachelor's degree in a quantitative field such as statistics, computer science, or economics
- Familiarity with cloud data platforms such as Snowflake, BigQuery, or AWS Redshift
- Strong written and verbal communication skills for presenting findings to non-technical stakeholders
Tips for Your Data Consultant Job Search
Tailor your resume for each vertical
Data consultant roles in healthcare demand different proof points than those in fintech or retail. Swap out project examples and tool mentions to match the industry in each job posting so your resume speaks directly to that hiring team.
Quantify impact beyond accuracy metrics
Hiring managers expect clean data, so listing data accuracy improvements alone won't differentiate you. Tie your work to business outcomes: revenue recovered, decision cycles shortened, or cost reduced, using specific figures from your own projects.
Apply early to roles that fit
Migrate Mate lists data consultant openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by engagement model before applying
Some data consultant postings are for project-based contract work, others for embedded full-time roles. Identifying the engagement model upfront saves you from advancing through multiple rounds only to find the structure doesn't fit your situation.
Prepare a stakeholder communication example
Interviewers consistently probe how you translate technical findings for non-technical audiences. Rehearse one specific story where you presented a data-driven recommendation to a business stakeholder and influenced a decision, with a clear before-and-after outcome.
Negotiate scope before you negotiate salary
Data consultant offers often include vague deliverable definitions that expand post-hire. Before finalizing any offer, clarify which teams you'll support, how success is measured, and who owns the data infrastructure decisions so expectations are set from day one.
Data Consultant Jobs: Frequently Asked Questions
Which companies are hiring the most data consultants?
The companies hiring the most data consultants right now include Amazon Web Services, Guidehouse, and Deloitte, with the largest share of openings in California, Virginia, and New York, based on current listings on Migrate Mate as of August 2026. Demand is particularly concentrated in financial services, management consulting, and technology firms that support enterprise analytics transformations.
How many data consultant jobs are remote?
About 70% of data consultant openings are fully remote or hybrid as of August 2026, making it one of the more flexible roles in the data field. Advisory and strategy-focused sub-areas tend to have the highest remote share, while roles requiring hands-on data infrastructure work or on-site stakeholder engagement are more likely to require an in-office presence.
How do you become a data consultant?
Start by building a foundation in SQL, data visualization, and at least one scripting language such as Python. From there, develop domain expertise in a specific industry like healthcare or finance, since clients hire consultants who understand their business context, not just the tools. A portfolio of end-to-end projects that show stakeholder impact strengthens your candidacy more than certifications alone.
Can you get a data consultant job with little experience?
Yes, entry-level data consultant roles exist, particularly at larger consulting firms that hire recent graduates and train them on the job. Your strongest asset without extensive experience is a portfolio of independent projects or internship work that demonstrates you can frame a business question, analyze data, and communicate a recommendation clearly to a non-technical audience.
What does the data consultant interview process look like?
Most data consultant interview processes include an initial screening call focused on background and communication style, followed by a technical round covering SQL, data modeling, or a take-home case study. Later rounds typically involve a business case presentation where you walk through your analytical approach and findings with a panel that includes both technical and non-technical evaluators.
Where can I find and apply to data consultant jobs?
You can find and apply to data consultant jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background, seniority level, and preferred industry, then apply directly to each listing that fits.
See All 303+ Data Consultant Jobs
Find roles that match your experience and apply in just a few clicks.
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