2

Remote Databricks Data Engineer Jobs (NOW HIRING)

Data Engineer II

$117.20K - $140.70K/yr

You'll be responsible for building, scaling, and optimizing our Databricks data store ... This role is remote and open to candidates residing in the US except the San Francisco Bay Metro ...

... in a remote environment Preferred Qualifications Certifications such as: Azure Data Engineer Power BI Data Analyst Databricks Data Engineer Data Governance or Data Management certifications ...

... in a remote environment Preferred Qualifications Certifications such as: Azure Data Engineer Power BI Data Analyst Databricks Data Engineer Data Governance or Data Management certifications ...

Data Engineer

Pittsburgh, PA ยท On-site +1

$111.20K - $133.50K/yr

... fully remote candidates in Eastern or Central time zones. What Youll Do: * Design, develop, and automate ETL/ELT pipelines feeding Snowflake and Databricks * Build and maintain scalable ingestion ...

"DATA ENGINEER"

Dallas, TX ยท Remote

$117.20K - $140.70K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note ... Databricks * Must have Azure (Azure Data Factory, Azure Synapse Analytics) develop and maintain ...

Lead Data Engineer (Databricks)

$104.90K - $138.20K/yr

Design and implement scalable, reliable data pipelines and lakehouse architectures on Databricks and cloud platforms. You're hands-on keyboard, you write code, review code, and set the engineering ...

Data Engineer

Fayetteville, GA ยท On-site +1

$100.60K - $120.80K/yr

... remote candidates in Eastern or Central time zones. What You'll Do: * Design, develop, and automate ETL/ELT pipelines feeding Snowflake and Databricks * Build and maintain scalable ingestion ...

Data Engineer - Multiple Positions

Chesterfield, MO ยท Remote

$113.30K - $136.10K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Guarantee that Databricks best practices are applied throughout all projects to maintain high ...

Senior Data Engineer - Databricks

Mclean, VA ยท On-site +1

$125K - $165K/yr

Contributions We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking ...

Data Engineer

Charlotte, NC ยท On-site +1

$111.80K - $134.30K/yr

... remote candidates in Eastern or Central time zones. What You'll Do: * Design, develop, and automate ETL/ELT pipelines feeding Snowflake and Databricks * Build and maintain scalable ingestion ...

Sr. Data Engineer

Vienna, VA ยท Remote

$170K - $185K/yr

This role supports a Databricks Data Lakehouse using Medallion Architecture, built on Data Fabric ... Key Responsibilities Data Engineering & Architecture * Design, develop, and optimize end-to-end ...

Data Engineer

Pittsburgh, PA ยท On-site +1

$111.20K - $133.50K/yr

... remote candidates in Eastern or Central time zones. What You'll Do: * Design, develop, and automate ETL/ELT pipelines feeding Snowflake and Databricks * Build and maintain scalable ingestion ...

Data Engineer

Dallas, TX ยท On-site +1

$113.30K - $136.10K/yr

... remote candidates in Eastern or Central time zones. What You'll Do: * Design, develop, and automate ETL/ELT pipelines feeding Snowflake and Databricks * Build and maintain scalable ingestion ...

Azure Databricks Engineer

$61.50 - $79.75/hr

PROJECT OVERVIEW We are looking for a skilled Azure Databricks Engineer to design, develop, and ... Department Data Engineering Role Senior Data Engineer Locations LATAM, USA Remote status Fully ...

next page

Showing results 1-20

Remote Databricks Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of May 30, 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 are the key skills and qualifications needed to thrive as a Remote Databricks Data Engineer, and why are they important?

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.

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.
More about Remote Databricks Data Engineer jobs
What cities are hiring for Remote Databricks Data Engineer jobs? Cities with the most Remote 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 Remote Databricks Data Engineer jobs? States with the most job openings for Remote Databricks Data Engineer jobs include:
Infographic showing various Remote Databricks Data Engineer job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 94% Physical, and 6% Hybrid job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer - AWS/Databricks

Acuity INC

Reston, VA โ€ข Remote

$119.30K - $143.30K/yr

Full-time

Posted 12 days ago


Job description

Acuity Inc. is seeking a highly skilled Data Engineer to join our Engineering Team, helping drive the design and delivery of AWS cloud-scale data platforms for federal clients. This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise data modernization.


Are you ready to use your expertise in the areas of IT Modernization, Data Enablement, and Hyperautomation to make a real difference? Join Acuity, Inc., a technology consulting firm that supports federal agencies. We combine industry partnerships and long-term federal experience with innovative technical leadership to support our customers critical missions.
  • Build and maintain scalable PySpark-based data pipelines in Databricks notebooks to support ingestion, transformation, and enrichment of structured and semi-structured data.
  • Design and implement Delta Lake tables optimized for ACID compliance, partition pruning, schema enforcement, and query performance across large datasets.

  • Develop ETL and ELT workflows that integrate multiple source systems into a centralized, query-optimized data warehouse architecture.

  • Leverage Spark SQL and DataFrame APIs to implement business rules, dimensional joins, and aggregation logic aligned to warehouse modeling best practices.

  • Collaborate with data architects and engineers to implement cloud-native data solutions on AWS using S3, Glue, RDS, and IAM for secure, scalable storage and access control.

  • Optimize pipeline performance through intelligent partitioning, caching, broadcast joins, and adaptive query tuning.

  • Deploy and version data engineering assets using Git-integrated development workflows and automate deployment with CI/CD tools such as GitLab or Jenkins.

  • Monitor pipeline health, job execution, and cluster utilization using native Databricks tools and AWS CloudWatch, identifying bottlenecks and optimizing cost-performance tradeoffs.

  • Conduct technical discovery and mapping of legacy source systems, identifying required transformations and designing end-to-end data flows.

  • Implement governance practices including metadata tagging, data quality validation, audit logging, and lineage tracking using platform-native features and custom logic.

  • Support ad hoc data access requests, develop reusable data assets, and maintain shared notebooks that meet operational reporting and analytics needs across teams.


  • 2+ years of experience in data engineering and Agile analytics
  • 2+ years of experience creating software for retrieving, parsing and processing structured and unstructured data
  • 1 to 2 years of experience building scalable ETL and ELT workflows for reporting and analytics
  • 1 or more years experience building enterprise data engineering solutions in the cloud, with preferred experience with cloud native technologies from AWS and Databricks
  • Experience with data quality, validation frameworks, and storage optimization strategies
  • BA or BS degree

Clearance Requirement:

  • Must be US Citizen with an ability to obtain and maintain US Suitability

About Acuity

At Acuity, your work mattersโ€”and so does your experience. Weโ€™re a management and technology consulting firm supporting critical federal missions, where youโ€™ll have the opportunity to solve meaningful challenges, work alongside high-performing teams, and make a real impact from day one.


Why Youโ€™ll Love Working Here:

Grow Your Career, Your Way
We invest in you with personalized development plans, mentorship, and up to $6,000 annually for training and certificationsโ€”so you can keep building the career you want.

Be Part of Something Innovative
Youโ€™ll work on cutting-edge solutions that support important government missions, in an environment that encourages new ideas and continuous improvement.

Thrive in a People-First Culture
Collaboration, respect, and support arenโ€™t just valuesโ€”theyโ€™re how we operate. Your voice is heard, your contributions are recognized, and your success is shared.

Feel Valued and Rewarded
We offer competitive compensation, comprehensive benefits, and a strong focus on work-life balance so you can perform at your bestโ€”at work and at home.

Join an Award-Winning Team
Our employees consistently rank us among the bestโ€”earning honors like Best Places to Work (Washington Business Journal, 9+ years) and Top Workplaces (The Washington Post, 2022โ€“2025).

Bring Your Whole Self to Work
Weโ€™re committed to building a diverse, inclusive environment where everyone feels respected, supported, and empowered to succeed.


Make Your Impact

Join Acuity and be part of a team where your ideas are valued, your growth is supported, and your work drives meaningful outcomes.

Learn more: www.myacuity.com


Acuity is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Recruiting Scams and Fraud

Acuity Inc. has been made aware of fraudulent job postings and individuals impersonating company recruiters. These scams may include fake job offers, requests for sensitive personal information, or demands for payment.

Please note:

  • Acuity never asks candidates to pay for job applications, equipment, or training.
  • All official communications will come from an @myacuity.com email address.
  • If you are unsure about a job posting or recruiter, please verify the opportunity on our Careers page.

If you believe you have been targeted by a scam or have concerns about the authenticity of a job listing claiming to represent Acuity Inc., please contact us at careers@myacuity.com. Protecting your security and trust is important to us.

#LI-PA1

#LI-Remote