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Remote Databricks Data Engineer Jobs (NOW HIRING)

DataSpring

Data Engineer

$100K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Databricks, Azure SQL, and modern data engineering practices while contributing to enterprise data initiatives and discussions. The Data Engineer is a full-time, remote, exempt position and reports ...

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 ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · Remote

$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 ...

University of Idaho Job

Data Engineer

Moscow, ID · On-site +1

$85K/yr

... remote option Posting Context Statement Join the University of Idaho's Office of Information ... Supporting the Databricks lakehouse platform including Unity Catalog administration and pipeline ...

Databricks

Manager, Field Engineering - MFG

Chicago, IL · On-site +1

... remote candidates in other locations in the Central United States. The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major ...

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... Databricks Lakehouse platform hosted in Microsoft Azure. In this role, you will be on the cutting ... Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual ...

New

IT America Inc

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/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 ...

Pepperidge Farm, Incorporated

Data Engineer

Camden, NJ · On-site +1

$110K - $152K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Design, build, and maintain data pipelines in Azure Databricks for ingestion, transformation, and ... remote for the right candidate. Compensation and Benefits: The target base salary range for this ...

Rearc

Lead Data Engineer (Databricks)

$104K - $138K/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 ...

Campbell's

Data Engineer

Camden, NJ · On-site +1

$110K - $152K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Design, build, and maintain data pipelines in Azure Databricks for ingestion, transformation, and ... remote for the right candidate. Compensation and Benefits: The target base salary range for this ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/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 ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · 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 ...

Databricks

FEQ327R251 Candidates in the listed region are encouraged for this role, we are open to remote ... Databricks' Data Intelligence Platform. You wil scale and maintain an outstanding Field Engineering ...

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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 13, 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?

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 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 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, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

DataSpring

Remote

$100K - $115K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

Position Summary
The Data Engineer will support the design, development, and maintenance of data pipelines and data models that power DataSpring's analytics and data platforms. This role focuses on implementing scalable data solutions, ensuring data quality, and collaborating with senior engineers and stakeholders to deliver reliable data for reporting and analysis. This position provides an opportunity to build hands-on experience with Databricks, Azure SQL, and modern data engineering practices while contributing to enterprise data initiatives and discussions.
The Data Engineer is a full-time, remote, exempt position and reports to the Sr. Director, Data Engineering & Architecture.
Specific Responsibilities
Data Engineering & Architecture
  • Build and maintain ETL/ELT pipelines across Databricks, Azure SQL, and downstream gold-layer models supporting priority projects
  • Support development and enhancement of enriched data models, including field-level enrichment logic, recency rules, and provider-level enrichment flags.
  • Assist in maintaining data logic, including reconciliation between source and target data sources and resolution of duplication and data discrepancies.
  • Assist in implementing medallion architecture patterns (bronze → gold), ensuring data quality, traceability, and performance at scale.

Data Quality, Governance & Reliability
  • Support identification and resolution of systemic data quality issues, including null handling, soft deletes, authorization flags, and incorrect organizational mappings.
  • Support implementation of rules for data in collaboration with product, governance, and engineering stakeholders.
  • Assist in documenting (Confluence, mapping workbooks) to serve as a single source of truth for enrichment logic and data behavior.

Cross-Functional & Vendor Collaboration
  • Support collaboration with vendors and partners for vendors providing detailed queries, validation logic, and corrective guidance on upstream data issues.
  • Collaborate with product owners and engineering teams to ensure data models align with product defined use cases.
  • Support UAT and release readiness by preparing data, validating counts, and resolving last-mile data defects under tight timelines.

Skills
  • Strong foundational SQL skills (complex joins, reconciliation, performance tuning).
  • Familiarity with Databricks, Delta Lake, and Azure SQL.
  • Basic understanding of data modeling for analytical, operational, and API-driven use cases.
  • Ability to support troubleshooting of messy, evolving enterprise data domains.
  • Excellent written and verbal communication, especially for explaining complex data behavior to non-technical stakeholders.
  • Experience using Git, DevOps tools, and CI/CD pipelines for data engineering workflows.

Experience
  • 1-3 years of experience in a data engineering or analytics engineering role, including internships or academic projects.
  • Demonstrated success contributing to data modernization or migration initiatives in cloud environments.
  • Prior experience working with healthcare or other regulated data environments is highly desirable.
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
  • Azure Data Engineer Associate or related certification (preferred).
  • Coursework or certification in AI/ML (preferred but not required).

Who We Are
DataSpring is the trusted data connector at the core of healthcare. For more than 25 years, we have powered the industry with the largest and most complete healthcare data foundation in the U.S., including more than 4.8 million provider data records sourced directly from providers and member data representing 75% of covered lives supplied by health plans. By improving how essential information flows across the system, DataSpring helps healthcare operate more efficiently, accurately, and with greater confidence.
What You Get
At DataSpring, you will do meaningful work at the intersection of healthcare, data, and technology, helping solve complex problems that make the healthcare system work better. You will collaborate with experienced professionals who care deeply about accuracy, trust, and meaningful impact in a fully remote environment.
DataSpring offers competitive compensation and a comprehensive benefits package for full-time employees, including medical, dental, and vision coverage, a 401(k) with company contributions and matching, paid parental leave, tuition assistance, and generous paid time off. We are committed to investing in our people and supporting professional growth over time.
Equal Opportunity Employer
DataSpring is proud to be an equal opportunity employer and is committed to fostering a workplace where all individuals are valued, respected, and empowered.
Employment decisions at DataSpring are made without regard to race, color, religion, sex, national origin or ancestry, age, marital status, disability, protected veteran status, personal appearance, sexual orientation, gender identity or expression, familial status, family responsibilities, matriculation, political affiliation, genetic information, source of income, place of residence, or any other characteristic protected by law. DataSpring does not tolerate unlawful discrimination or harassment of any kind.
Applicants have rights under the Family and Medical Leave Act (FMLA), Equal Employment Opportunity (EEO), and the Employee Polygraph Protection Act (EPPA). If you need a reasonable accommodation to apply for a posted position, please contact the DataSpring People & Culture team at Careers@dataspring.org or 202-517-0436.
The pay range for this role is:
100,000 - 115,000 USD per year (Remote (United States))

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