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Remote Databricks Data Engineer Jobs (NOW HIRING)

Analytica

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data ...

Analytica

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · On-site +1

$120K - $150K/yr

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 ...

Mondo

Data Engineer

Manhattan, NY · Remote

$70 - $80/hr

Data Engineer Location: Remote (EST hours preferred) Duration: 4 Month Contract (through end of ... Build and maintain dbt models as part of the new Databricks-based data architecture * Support Data ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design ... Strong data warehousing experience with Azure, Databricks, and Snowflake. * Demonstrated strength ...

Urban SDK

Data Engineer

$117K - $140K/yr

The ideal candidate will have experience with Python, Databricks, S3, and modern data engineering ... Jacksonville, FL (Town Center Area) or Remote * Type: Full-time * Reports to: Director of ...

Sentara Healthcare

Data Engineer - Remote

Virginia Beach, VA · On-site +1

$108K - $130K/yr

Sentara is hiring a Data Engineer! This is a fully remote position. Work Location: Remote ... Develop and maintain data pipelines using PySpark and Databricks * Work within a metadata-driven ...

Jobgether

$88K - $106K/yr

This is a remote opportunity for an experienced data engineer to play a key role in a large-scale ... You will work extensively with Azure Data Factory, Databricks, Synapse Analytics, Data Lake Storage ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · On-site +1

$90K - $100K/yr

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 ...

Cardlytics

Senior Principal Data Engineer

$128K - $177K/yr

Design and architect a unified MLOps and forecasting platform on Databricks, leveraging MLflow for ... PhD preferred. * 10+ years of experience in data engineering, with a significant focus on building ...

Cardlytics

Senior Principal Data Engineer

$128K - $177K/yr

Design and architect a unified MLOps and forecasting platform on Databricks, leveraging MLflow for ... PhD preferred. * 10+ years of experience in data engineering, with a significant focus on building ...

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Remote Databricks Data Engineer information

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

As of Aug 27, 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.
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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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Analytica

Washington, DC • On-site, Remote

$129K - $155K/yr

Full-time

Re-posted 8 days ago

Job description

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data pipelines and platform services within the AWS and Databricks ecosystem. This role works alongside senior engineers and architects to improve data accessibility, platform reliability, and self-service analytics capabilities.
Analytica has been recognized byInc. Magazineas one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products thatimpactour day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401kmatch.
Key Responsibilities:
  • Support ingestion, transformation, and publication of enterprise datasets using standardized and governed data engineering processes.
  • Develop and maintain SQL-based reporting and analytics solutions using Databricks SQL Warehouses.
  • Assist with implementation and administration of Unity Catalog, data lineage, metadata, and data governance controls.
  • Support cloud operations activities including infrastructure automation, logging, monitoring, and platform observability.
  • Implement and maintain CI/CD pipelines using tools such as GitHub Actions, Terraform, and Databricks Asset Bundles.
  • Participate in platform incident response, troubleshooting, and operational support activities.

Required Qualifications:
  • Minimum of 1 years of experience in data engineering, cloud engineering, or platform operations.
  • Experience supporting enterprise data platforms, analytics environments, or cloud-based data solutions.
  • Proficiency in Python, SQL, and data engineering concepts.
  • Experience with Databricks, Apache Spark, PySpark, or similar big data technologies.
  • Experience with AWS cloud services such as S3, IAM, CloudWatch, Glue, Athena, or Redshift.
  • Knowledge of ETL/ELT development and data pipeline design.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
  • AWS, Databricks, or cloud-related certifications preferred.
  • Ability to obtain or maintain an Active MBI Clearance.

AboutAnalytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small businessthat hasbeen recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growingcompanies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The companyis appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.
Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.
To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.
  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.
By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.
When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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