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Remote Databricks Data Engineer Jobs (NOW HIRING)

Guidehouse

Databricks Data Engineer

$113K - $188K/yr

While remote candidates will be considered, preference will be given to candidates located near a ... Active Databricks Data Engineer Associate, Databricks Data Engineer Professional, or related ...

Guidehouse

Databricks Data Engineer

$113K - $188K/yr

While remote candidates will be considered, preference will be given to candidates located near a ... Active Databricks Data Engineer Associate, Databricks Data Engineer Professional, or related ...

RIT Solutions, Inc.

Databricks Data Engineer

$117K - $140K/yr

RIT Solutions, Inc. is seeking a Databricks Data Engineer to work with data in the ecommerce sector. The role involves moving data from source systems to target systems and requires a strong ...

Peraton

Databricks Data Engineer

$112K - $179K/yr

This role is 100% Remote. Other Responsibilities Include: * Build out and configure a dedicated ... Databricks Certified Data Engineer Associate or Professional certification Peraton Overview Peraton ...

Guidehouse

Databricks Data Scientist

While remote candidates will be considered, preference will be given to candidates located near a ... Design reusable feature engineering workflows and model training pipelines using Databricks ...

ADPMN Inc

Senior Databricks Data Engineer

$108K - $147K/yr

ADPMN Inc is seeking a Senior Databricks Data Engineer responsible for moving source data into the Databricks Lakehouse. The role involves monitoring data pipelines, collaborating with data ...

Guidehouse

Databricks Data Scientist

While remote candidates will be considered, preference will be given to candidates located near a ... Design reusable feature engineering workflows and model training pipelines using Databricks ...

LMI

Databricks Data Engineer SME - Clearance Required

$117K - $140K/yr

LMI is seeking a skilled Databricks Data Engineer SME (DHA RevOS / Databricks, War Data Platform & Data Visualization) to serve as a senior technical lead responsible for designing, restructuring ...

New

Livefront

Data Engineer (Databricks)

$117K - $140K/yr

Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep ...

Livefront

Data Engineer (Databricks)

$117K - $140K/yr

Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep ...

campus4tech

Data Engineer - Databricks & Snowflake

$117K - $140K/yr

Remote Responsibilities: * Strong experience with Databricks and data infrastructure technologies ... Data Engineer will design, implement, and maintain data infrastructure solutions using Databricks ...

CGI Inc.

Senior Databricks Engineer

$107K - $146K/yr

United States, Remote Position ID:J0826-1823 Employment Type: Contract Position Description: We are seeking an experienced Senior Databricks Engineer to serve as a hands on senior data engineer ...

Northrop Grumman

Lead Databricks Data Security Engineer

OR · On-site +1

$142K - $213K/yr

Northrop Grumman is seeking a Lead Databricks Data Security Engineer to lead the design, implementation, and governance of access control across our Databricks Lakehouse environment. This role will ...

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How much do remote databricks data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote databricks data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

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

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
More about Remote Databricks Data Engineer jobs

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Remote Databricks Data Engineer jobs near you
Infographic showing various Remote Databricks Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Databricks Data Engineer

Guidehouse

Remote

$113K - $188K/yr

Full-time

Re-posted 3 days ago

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants

Job description

Job Family:
Data Science & Analysis, Data Science Consulting
Travel Required:
None
Clearance Required:
None
Guidehouse is seeking a Databricks Data Engineer to join our AI & Data team to support client projects involving large-scale data pipelines, data transformation, platform modernization, and advanced analytics and AI solution delivery. This role focuses on designing, building, and maintaining scalable data solutions using Databricks, Spark, SQL, Python, Delta Lake, and related cloud-native technologies. The role requires hands-on technical expertise, strong problem-solving skills, and the ability to collaborate with clients and cross-functional teams to deliver reliable, secure, and well-documented data engineering solutions.
This position offers virtual work flexibility within the United States. While remote candidates will be considered, preference will be given to candidates located near a Guidehouse office in one of the following markets: Arlington, VA; Washington, DC; New York, NY; Chicago, IL; Austin, TX; Atlanta, GA; Boston, MA; and Boulder, CO.
Please note, this requisition supports hiring across multiple levels to support our Databricks Data Engineer Teams. The posted salary range represents a range of potential compensation and will vary based on the selected candidate's experience, qualifications, location, and the level at which the position is filled.
What You Will Do:
  • Design, build, and maintain scalable data pipelines using Databricks, PySpark, SQL, Delta Lake, and related cloud-native data engineering tools.
  • Develop and support batch and streaming data workflows, including ingestion, transformation, validation, and publishing of curated data products.
  • Write, optimize, and maintain Python, PySpark, and SQL code for data processing, orchestration, and performance tuning.
  • Work with large-scale datasets using Databricks, Spark, Delta Lake, Unity Catalog, and cloud storage services.
  • Troubleshoot and resolve data pipeline failures, performance issues, data quality issues, and workflow bottlenecks.
  • Translate business and technical requirements into data engineering designs, processing scripts, and job orchestration workflows.
  • Perform data validation, quality checks, code reviews, and issue resolution to support accurate and reliable data products.
  • Collaborate with cross-functional teams including solution architects, data scientists, analysts, DevOps engineers, and client stakeholders.
  • Communicate technical concepts, delivery impacts, and data engineering considerations to technical and non-technical audiences.
  • Document pipelines, datasets, data models, workflows, and engineering decisions to support maintainability, transparency, and reuse.
  • Follow data governance, security, lineage, and compliance standards within the Databricks platform.

What You Will Need:
  • Bachelor's degree in computer science, engineering, mathematics, statistics, or another relevant field.
  • 3-8 years of relevant experience in data engineering, data architecture, or cloud data platform implementation.
  • Strong experience with Python, PySpark, and SQL for data transformation, pipeline development, and data processing.
  • Experience with Databricks, Spark, Delta Lake, Unity Catalog, or similar cloud-native data platforms.
  • Experience developing batch or streaming data pipelines, ETL/ELT workflows, and reusable data assets.
  • Experience with data modeling, data warehousing, data quality validation, and large-scale data processing concepts.
  • Ability to troubleshoot technical issues, communicate engineering recommendations clearly, and work effectively in team-based delivery environments.
  • Experience applying data governance, access control, lineage, and security practices within cloud data platforms.

What Would Be Nice to Have:
  • 2+ years of hands-on experience with the Databricks platform.
  • Experience using Unity Catalog for data governance, schema design, data modeling standards, access controls, lineage, and secure management of enterprise data assets.
  • Experience designing and building standard medallion data architectures for scalable ingestion, transformation, quality validation, and curated data delivery.
  • Active Databricks Data Engineer Associate, Databricks Data Engineer Professional, or related certification.
  • Experience with CI/CD tools and practices for notebooks, workflows, orchestration jobs, and infrastructure deployment.
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Experience working in project-based or consulting delivery environments.
  • Familiarity with streaming frameworks, orchestration tools, Terraform, or related data platform administration capabilities.

The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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