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Databricks Data Analyst Jobs (NOW HIRING)

Databricks Data Engineering Manager

Rosslyn, VA · On-site

$130K - $156K/yr

... the Databricks Platform. In this leadership role, you will be responsible for managing teams ... Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities ...

Sr. Data Analyst (part-time, hybrid)

Arlington, VA · Hybrid

$98K - $124K/yr

... the Azure/Databricks environment. * Work with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial ...

Mission Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data ...

Data Analyst

Chicago, IL · On-site

$187K/yr

Build and manage Databricks notebooks and Delta tables. Develop sophisticated data pipelines to transform large-scale datasets into curated, audit-ready analytical layers. • Power BI Leadership:

Data Architect

Vienna, VA · On-site

$64 - $82.25/hr

The IT Engineer- Data's primary responsibilities will be to develop analytic solutions (Power BI/Databricks) to track, but not limited to, department and team goals, project status, and ongoing ...

... Databricks Healthcare domain experience in Claims, Membership, Clinical, Provider, or Revenue Cycle data Experience in data analysis, validation, profiling, and reporting Knowledge of Power BI or ...

Data Analyst/Engineer Changeis, Inc. is seeking a highly skilled and motivated Data Analyst ... Experience with Databricks and related tools. * Experience with other BI tools or analytics ...

Staff Data Scientist

San Francisco, CA · On-site +1

$192K - $260K/yr

Represent Databricks at academic and industrial conferences & events. What we look for: * 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth ...

Showing results 41-60

Databricks Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do databricks data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for databricks data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Does Databricks Data Analyst allow remote work?

Many organizations hiring Databricks Data Analysts offer remote work options, especially for roles involving data analysis, cloud platforms, and tools like SQL and Python. Remote work availability depends on the employer's policies and the specific job requirements, but it is increasingly common in data-related roles.

What is a Databricks Data Analyst?

A Databricks Data Analyst is a professional who uses the Databricks platform to analyze and interpret large datasets, often in cloud environments. They leverage tools like Apache Spark within Databricks to clean, transform, and visualize data, enabling organizations to make data-driven decisions. Their responsibilities typically include writing queries in SQL or Python, building dashboards, and collaborating with data engineers and business stakeholders. The role requires strong analytical skills and familiarity with cloud data platforms.

What are the key skills and qualifications needed to thrive as a Databricks Data Analyst, and why are they important?

To thrive as a Databricks Data Analyst, you need strong analytical skills, proficiency in SQL and Python, and a background in data modeling or statistics, often supported by a relevant degree. Familiarity with Databricks, Apache Spark, data visualization tools like Power BI or Tableau, and cloud platforms such as AWS or Azure is typically required. Critical thinking, effective communication, and attention to detail are key soft skills for translating complex data into actionable insights. These skills and qualities are essential for leveraging Databricks' powerful platform to drive data-driven decisions and optimize business outcomes.

How does a Databricks Data Analyst typically collaborate with data engineers and data scientists on projects?

As a Databricks Data Analyst, you will frequently work alongside data engineers and data scientists to deliver data-driven insights and solutions. Data engineers are responsible for building and maintaining the data pipelines and infrastructure, while data scientists develop models and conduct advanced analytics. Your role involves analyzing curated datasets, creating dashboards, and providing actionable reports that help drive business decisions. Effective collaboration often involves regular meetings to clarify data requirements, sharing findings through notebooks, and ensuring data quality and accessibility for all team members.

What is the difference between Databricks Data Analyst vs Data Analyst?

AspectDatabricks Data AnalystData Analyst
Required CredentialsOften requires knowledge of Databricks platform, SQL, and data visualization toolsTypically requires SQL, Excel, and basic data analysis skills
Work EnvironmentWorks within cloud-based Databricks environment, often in data-driven teamsWorks with various tools, often in office or remote settings, across multiple industries
Employer & Industry UsageUsed mainly in tech, finance, and data-centric companies leveraging DatabricksUsed across diverse industries including marketing, healthcare, finance, and more

While both roles involve data analysis, a Databricks Data Analyst specializes in using the Databricks platform for large-scale data processing and analytics, whereas a Data Analyst may work with a broader range of tools and environments. The Databricks Data Analyst typically requires familiarity with cloud-based data platforms, making it more specialized for data engineering and big data projects.

What cities are hiring for Databricks Data Analyst jobs? Cities with the most Databricks Data Analyst job openings:
Infographic showing various Databricks Data Analyst job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 62% In-person, and 38% Hybrid job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Databricks Data Engineering Manager

Deloitte

Rosslyn, VA • On-site

$130K - $156K/yr

Other

Re-posted 6 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Lead Data Engineer II in our AI & Data practice, you will leverage your extensive real-world experience to lead the delivery of transformative data and AI programs for our clients, capitalizing on the comprehensive capabilities of the Databricks Platform. In this leadership role, you will be responsible for managing teams, building client relationships, and driving the strategic direction of our services across data engineering, business intelligence, and AI/ML. You'll collaborate with C-level executives to innovate and deliver measurable business value.

Key Responsibilities:

  • Program Leadership: Lead large-scale data and AI programs, serving as the subject matter expert for teams implementing solutions across the entire Databricks platform.
  • Client Relationship Management: Build and maintain strong relationships with clients, acting as a trusted advisor on their holistic data and AI strategy, providing insights from practical, large-scale project experience.
  • Team and Practice Development: Lead, coach, and develop teams of data engineers, data scientists, and architects. Support business development and contribute to the growth of the practice.
  • Strategic Solution Design: Design complex, data-driven solutions and architectures that integrate data engineering, BI, and AI/ML capabilities to meet our clients' strategic technology goals.
  • Technical Oversight: Provide expert guidance on project delivery, define success criteria, and ensure the adoption of industry best practices for data governance (Unity Catalog), security, and MLOps.

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 mentor and 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 with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Master's or PhD degree in a relevant STEM field
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to obtain and maintain a US government security clearance
  • 7+ years of real-world experience leading the delivery of complex, large-scale data and AI initiatives utilizing the breadth of the Databricks platform.
  • 5+ years of experience with the latest Databricks features including Lakeflow Connect, Lakebase, Agent Bricks, Model Serving, Genie, and Databricks Apps.
  • 2+ years of experience leading and managing cross-functional teams of technical professionals on challenging client engagements.
  • 2+ years of experience in data strategy, modern data architectures, data governance, and best practices for enterprise AI built on Databricks.
  • Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred:

  • Professional Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional) are highly preferred
  • Exceptional communication and stakeholder management abilities, including experience with executive-level communication.
  • Public sector experience preferred
  • Active public sector clearance preferred

The wage range for this role 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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. 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 $151,500 to $252,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Lead Data Engineer II in our AI & Data practice, you will leverage your extensive real-world experience to lead the delivery of transformative data and AI programs for our clients, capitalizing on the comprehensive capabilities of the Databricks Platform. In this leadership role, you will be responsible for managing teams, building client relationships, and driving the strategic direction of our services across data engineering, business intelligence, and AI/ML. You'll collaborate with C-level executives to innovate and deliver measurable business value.

Key Responsibilities:

  • Program Leadership: Lead large-scale data and AI programs, serving as the subject matter expert for teams implementing solutions across the entire Databricks platform.
  • Client Relationship Management: Build and maintain strong relationships with clients, acting as a trusted advisor on their holistic data and AI strategy, providing insights from practical, large-scale project experience.
  • Team and Practice Development: Lead, coach, and develop teams of data engineers, data scientists, and architects. Support business development and contribute to the growth of the practice.
  • Strategic Solution Design: Design complex, data-driven solutions and architectures that integrate data engineering, BI, and AI/ML capabilities to meet our clients' strategic technology goals.
  • Technical Oversight: Provide expert guidance on project delivery, define success criteria, and ensure the adoption of industry best practices for data governance (Unity Catalog), security, and MLOps.

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 mentor and 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 with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Master's or PhD degree in a relevant STEM field
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to obtain and maintain a US government security clearance
  • 7+ years of real-world experience leading the delivery of complex, large-scale data and AI initiatives utilizing the breadth of the Databricks platform.
  • 5+ years of experience with the latest Databricks features including Lakeflow Connect, Lakebase, Agent Bricks, Model Serving, Genie, and Databricks Apps.
  • 2+ years of experience leading and managing cross-functional teams of technical professionals on challenging client engagements.
  • 2+ years of experience in data strategy, modern data architectures, data governance, and best practices for enterprise AI built on Databricks.
  • Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred:

  • Professional Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional) are highly preferred
  • Exceptional communication and stakeholder management abilities, including experience with executive-level communication.
  • Public sector experience preferred
  • Active public sector clearance preferred

The wage range for this role 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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. 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 $151,500 to $252,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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