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Freelance Databricks Data Engineer Jobs (NOW HIRING)

Responsibilities Databricks Engineering * Develop, maintain, and optimize Databricks notebooks, workflows, and ETL/ELT pipelines. * Build and maintain data ingestion pipelines using PySpark, SQL, and ...

Work you'll do As a Lead Data Engineer II in our AI & Data practice, you will leverage your ... Professional Databricks certifications (e.g., Data Engineer Professional, Machine Learning ...

Databricks Data Engineering Manager

Rosslyn, VA · On-site

$130K - $156K/yr

Work you'll do As a Lead Data Engineer II in our AI & Data practice, you will leverage your ... Professional Databricks certifications (e.g., Data Engineer Professional, Machine Learning ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$107K - $128K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a high-performing ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Databricks Duration : Contract to Hire Location : Pittsburgh, PA Work Mode : 5 Days Onsite Join a high performing data engineering team responsible for building modern, cloud native ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$108K - $130K/yr

Role: Data Engineer Location: Warrendale, PA / Pittsburgh, PA (Onsite) Job Type: Contract Role Overview We are seeking an experienced Data Engineer with strong expertise in Databricks, Python, and ...

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

We are seeking a seasoned Databricks Data Engineer with expertise in Azure cloud services and the Databricks Lakehouse platform. The role involves designing and optimizing large-scale data pipelines ...

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

Databricks on Azure for data engineering and ML pipeline support. * SQL, Python, Spark, Tableau. * Git, Jira, CI/CD tools (e.g., Jenkins, CodeBuild). * Jira, Confluence, SharePoint. * Mural, Miro, or ...

Data Engineer - Databricks

NM · Remote

$117K - $140K/yr

Data Engineer - Databricks Responsibilities As a Data Engineer, your main tasks will involve: * Design, build, and maintain scalable data pipelines using Databricks and cloud-based data platforms.

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Freelance Databricks Data Engineer information

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$14

$47

$132

How much do freelance databricks data engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for freelance databricks data engineer in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

How do freelance Databricks data engineers typically collaborate with client teams during projects?

Freelance Databricks Data Engineers often work remotely and interact with client teams through regular virtual meetings, project management platforms, and collaboration tools like Slack or Microsoft Teams. Clear communication is crucial, as you'll coordinate closely with data scientists, analysts, and IT stakeholders to understand requirements, deliver solutions, and troubleshoot issues. Establishing a structured workflow and providing frequent progress updates help ensure alignment and project success. Flexibility and proactive problem-solving are especially important in adapting to each client's unique data infrastructure and business goals.

What is the difference between Freelance Databricks Data Engineer vs Freelance Data Engineer?

AspectFreelance Databricks Data Engineer

Required SkillsProficiency in Databricks, Spark, Python, SQL, cloud platforms
Work EnvironmentRemote, project-based, client-specific
CertificationsDatabricks certifications, cloud platform credentials
Industry UsageData analytics, big data projects, AI/ML integrations

Freelance Databricks Data Engineers specialize in building and maintaining data pipelines using Databricks and Spark, often working on big data projects in cloud environments. Freelance Data Engineers may have broader skills across various tools and platforms but might not focus specifically on Databricks. Both roles are remote, project-based, and require similar certifications, but the Databricks-specific expertise makes the Freelance Databricks Data Engineer more specialized in Databricks ecosystems.

What is a freelance Databricks data engineer?

Freelance Databricks Data Engineers are independent professionals who specialize in designing, building, and maintaining data pipelines and analytics solutions using the Databricks platform. They work on a contract basis, often helping organizations with data integration, ETL processes, and leveraging Apache Spark for big data analytics. These engineers typically have expertise in cloud platforms, SQL, Python, and other data engineering tools, and they offer flexible support based on project needs.

What are the key skills and qualifications needed to thrive as a freelance Databricks data engineer?

To thrive as a Freelance Databricks Data Engineer, you need strong skills in data engineering, SQL, Python or Scala, and a solid understanding of big data concepts, often supported by a degree in computer science or related fields. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications (like Databricks Certified Data Engineer) is highly valued. Excellent problem-solving, communication, and self-management skills are essential for collaborating remotely with clients and handling diverse projects. These skills enable efficient data pipeline development, scalable analytics, and successful client delivery in dynamic freelance environments.
More about Freelance Databricks Data Engineer jobs
What cities are hiring for Freelance Databricks Data Engineer jobs? Cities with the most Freelance Databricks Data Engineer job openings:
What are the most commonly searched types of Databricks Data Engineer jobs? The most popular types of Databricks Data Engineer jobs are:
What states have the most Freelance Databricks Data Engineer jobs? States with the most job openings for Freelance Databricks Data Engineer jobs include:
Infographic showing various Freelance Databricks Data Engineer job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Databricks Data Engineering Manager

Deloitte

Sacramento, CA

$122K - $146K/yr

Full-time

Re-posted 9 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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