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Databricks Data Analyst Jobs (NOW HIRING)

Deloitte

Databricks Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ... You will work with business and technology teams to modernize data environments, support analytics ...

Deloitte

Databricks Data Engineer

Rosslyn, VA · On-site

$130K - $156K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ... You will work with business and technology teams to modernize data environments, support analytics ...

Deloitte

Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ... You will work with business and technology teams to modernize data environments, support analytics ...

Tata Consultancy Services

Databricks Data Engineer

Irving, TX · On-site

$106K - $127K/yr

... Analysts to curate datasets, support machine learning models (MLflow), and provide integrated ... In-depth knowledge of the Databricks Data Intelligence Platform, including notebooks, Delta Lake ...

Tata Consultancy Services

Databricks Data Engineer

Irving, TX · On-site

$106K - $127K/yr

... Analysts to curate datasets, support machine learning models (MLflow), and provide integrated ... In-depth knowledge of the Databricks Data Intelligence Platform, including notebooks, Delta Lake ...

DevIQ

Databricks Data Engineer

Denver, CO · On-site +1

$120K - $140K/yr

In this role, you'll build robust and scalable data pipelines on the Databricks Lakehouse Platform that support high-quality analytics and machine learning solutions for our clients. You'll play a ...

DevIQ

Databricks Data Engineer

Denver, CO · On-site

$120K - $140K/yr

In this role, you'll build robust and scalable data pipelines on the Databricks Lakehouse Platform that support high-quality analytics and machine learning solutions for our clients. You'll play a ...

DevIQ

Databricks Data Engineer

Denver, CO · On-site +1

$120K - $140K/yr

In this role, you'll build robust and scalable data pipelines on the Databricks Lakehouse Platform that support high-quality analytics and machine learning solutions for our clients. You'll play a ...

Databricks

Principal Data Scientist

Mountain View, CA · On-site

We built the Databricks Data Intelligence Platform to help organizations unify their data, analytics, and AI workloads. With more than 10,000 organizations worldwide - including over half of the ...

DevIQ

Databricks Data Engineer

Denver, CO · On-site +1

In this role, you'll build robust and scalable data pipelines on the Databricks Lakehouse Platform that support high-quality analytics and machine learning solutions for our clients. You'll play a ...

Databricks

Principal Data Scientist

Seattle, WA · On-site +1

We built the Databricks Data Intelligence Platform to help organizations unify their data, analytics, and AI workloads. With more than 10,000 organizations worldwide -- including over half of the ...

Deloitte

Databricks Engineering Consultant

Rosslyn, VA · On-site

Building and optimizing Databricks SQL endpoints, data models, and integrations with business intelligence tools to support analytics and reporting * Supporting the development and deployment of ...

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Databricks Data Analyst information

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$34K

$82.6K

$136K

How much do databricks data analyst jobs pay per year?

As of Jul 7, 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.

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 is the salary of data analyst in Databricks?

The salary of a Databricks Data Analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and skill level. Proficiency in SQL, Spark, and data visualization tools can influence compensation.

Is Databricks a high paying job?

A Databricks Data Analyst typically earns a competitive salary that reflects skills in data analysis, SQL, and cloud platforms like Databricks. Salaries vary based on experience, location, and industry, but data analyst roles involving Databricks are generally well-compensated compared to other data-related positions.

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, including roles like Databricks Data Analyst. Success depends on skills, experience, and continuous learning of tools like SQL, Python, and data visualization platforms. Many professionals transition into data analysis at various ages, and employers value diverse backgrounds and expertise.

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.

Is Databricks used by data analysts?

Databricks is widely used by data analysts to perform data processing, analysis, and visualization tasks using its unified platform and tools like Apache Spark. Many data analysts leverage Databricks for scalable data workflows, often requiring knowledge of SQL, Python, or R. Familiarity with cloud environments and data management concepts enhances effectiveness in this role.
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 July 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Databricks Data Engineer

Databricks Data Engineer

Deloitte

San Francisco, CA • On-site

$134K - $162K/yr

Other

Re-posted 18 days ago

Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

71st of 146 rated financial services

Job description

Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and technology teams to modernize data environments, support analytics and artificial intelligence use cases, and deliver measurable business outcomes. This role offers the opportunity to help clients implement enterprise-scale Databricks solutions that improve platform performance and expand data-driven decision-making.

Recruiting for this role ends on 07/03/2026.

Work you'll do

As a Databricks Data Engineer on the Core AI & Data team, you will be responsible for:

  • Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL)
  • Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns
  • Develop and maintain batch and streaming data workflows that support reporting, analytics, and artificial intelligence use cases
  • Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance
  • Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs
  • 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 Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery.

Qualifications Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
  • 3+ years of experience in data engineering, extract, transform, load (ETL) development, or data platform engineering
  • 2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and Structured Query Language (SQL)
  • Experience implementing data models, data integration patterns, and cloud-based data processing workflows
  • Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • 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 Delta Lake, Databricks Workflows, and Unity Catalog
  • Experience using Git-based version control and continuous integration/continuous deployment pipelines
  • Experience supporting batch and streaming data workloads
  • Experience with data warehousing, lakehouse architecture, and performance optimization
  • Experience supporting analytics or machine learning data pipelines
  • Experience working in consulting or client service delivery environments

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 $86,700 to $170,900.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...


Qualifications:

Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and technology teams to modernize data environments, support analytics and artificial intelligence use cases, and deliver measurable business outcomes. This role offers the opportunity to help clients implement enterprise-scale Databricks solutions that improve platform performance and expand data-driven decision-making.

Recruiting for this role ends on 07/03/2026.

Work you'll do

As a Databricks Data Engineer on the Core AI & Data team, you will be responsible for:

  • Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL)
  • Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns
  • Develop and maintain batch and streaming data workflows that support reporting, analytics, and artificial intelligence use cases
  • Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance
  • Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs
  • 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 Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery.

Qualifications Required:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
  • 3+ years of experience in data engineering, extract, transform, load (ETL) development, or data platform engineering
  • 2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and Structured Query Language (SQL)
  • Experience implementing data models, data integration patterns, and cloud-based data processing workflows
  • Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • 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 Delta Lake, Databricks Workflows, and Unity Catalog
  • Experience using Git-based version control and continuous integration/continuous deployment pipelines
  • Experience supporting batch and streaming data workloads
  • Experience with data warehousing, lakehouse architecture, and performance optimization
  • Experience supporting analytics or machine learning data pipelines
  • Experience working in consulting or client service delivery environments

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 $86,700 to $170,900.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...


Education:Bachelor's DegreeEmployment Type:

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