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Remote Databricks Data Engineer Jobs (NOW HIRING)

$99K - $119K/yr

As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and ... Databricks, Data Factory, Glue, Lambda, SQL Server). • Review existing data pipelines, data ...

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 ...

Data Engineer

Washington, DC · On-site

$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 ...

Overview 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 for ...

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 ...

Senior Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $165K/yr

Overview 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 for ...

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 ...

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 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 ...

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 Engineer

MD · On-site +1

$114K - $137K/yr

... remote and located outside of the US but should be available until 4:30 P.M. ET)* Data Engineer - AIBI Overview: We are seeking a Data Intelligence Engineer to design, build, and operate a Databricks ...

Data Engineer - Databricks

$117K - $140K/yr

Open Systems Technologies is a financial firm seeking a Data Engineer - Databricks to join their team. This role involves designing and building large-scale data solutions in an enterprise setting ...

Showing results 41-60

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 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

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 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.

$99K - $119K/yr

Full-time

Re-posted 23 days ago


Job description

Why We Need You - The Mission
Are you a data professional who enjoys both building robust data systems and turning data into actionable insights? Medisolv, a national leader in healthcare quality data management solutions, is seeking a Data Engineer/Analyst to join our growing team.
We empower over 1,800 hospitals and 15,000 providers with our all-in-one ENCOR platform, helping transform patient care through meaningful analytics and data-driven performance improvements. Backed by Bessemer Venture Partners Forge, Medisolv is experiencing rapid growth-making this the perfect time to make an impact.
As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and load clinical, financial and administrative healthcare data and health plan data to feed our suite of reporting and analytics products. You will assist the data team with loading and troubleshooting data issues from EHR vendor products (including but not limited to: Epic, Meditech, Cerner and EClinicalWorks). You will also assist the data team in supporting CMS quality measures (HEDIS/Stars) and fuel our downstream AI workflows.
Why Join Medisolv?
• Impactful Mission: Help improve patient care nationwide by developing reliable data pipelines and meaningful analytics that drive better outcomes.
• Innovative Environment: Work with modern Azure-based technologies and contribute to data-driven and AI-enhanced initiatives.
• Growth Opportunity: Be part of a collaborative, high-performing team shaping the future of healthcare data and reporting.
What You'll Accomplish - Your Performance Objectives
In your first 30 days you will:
• Integrate with the data management team and become familiar with workflows and tools in our Azure and AWS environments (Snowflake, Databricks, Data Factory, Glue, Lambda, SQL Server).
• Review existing data pipelines, data models, and transformation script to understand current processes and support troubleshooting of data related issues.
In your first 3 months, you will:
• Investigate technical and data-related issues across EHR's and Data load platforms, especially those affecting measure results and mapping (e.g., SNOMED, ICD-10, RXNORM).
• Apply SQL querying skills to directly investigate data anomalies within Databricks and Snowflake environments.
• Troubleshoot data pipelines to support internal operations and client deliverables.
• Perform data analysis to identify trends, discrepancies, and opportunities for improvement.
• Collaborate with cross-functional teams to gather requirements and enhance data quality and reporting outputs.
In your first 6 months, you will:
• Develop and deliver dashboards, reports, and visualizations that support business and client decisions.
• Monitor data quality, troubleshoot issues, and drive improvements in data integrity and consistency.
• Partner with stakeholders to translate data into actionable insights aligned with business goals.
In your first 12 months, you will:
• Lead enhancements to data architecture, reporting capabilities, and data processes.
• Support advanced analytics initiatives, including predictive insights and AI-driven solutions.
• Document processes and establish best practices to ensure scalability, reliability, and consistency as the organization grows.
What You Bring
• 4-7+ years of experience in data engineering, data analysis, or a hybrid role.
• Strong proficiency in SQL and experience working with large, complex datasets.
• Hands-on experience with Azure and/or AWS cloud compute platforms using tools such as Snowflake, Databricks, Data Factory, Glue, Azure Functions and Lambda.
• Experience building and maintaining ETL/ELT pipelines and data models.
• Ability to analyze data, identify trends, and provide actionable insights to stakeholders.
• Ability to map payer data: Get into the weeds of core health plan files.
• Exposure to CMS & HEDIS Logic
• Experience creating dashboards and reports using tools such as Power BI or similar.
• Strong problem-solving skills and attention to detail with a focus on data accuracy and quality.
• Ability to work cross-functionally and communicate technical concepts to non-technical audiences.
• Healthcare data experience, including familiarity with clinical or regulatory data, is a plus.
Preferred Qualifications
• Experience with Azure and/or AWS platforms using Snowflake, Databricks, Delta Lakes, Spark, Python and other related technologies.
• Familiarity with healthcare data systems, EHRs, or regulatory reporting programs.
• Experience with advanced analytics, data modeling, and performance optimization.
• Exposure to AI/ML or predictive analytics initiatives.
• Experience with additional tools such as Power BI, or other visualization platforms.
Who You Are
• Technical Expert: You thrive on solving complex challenges and implementing effective solutions.
• Innovative Thinker: You embrace new technologies and continuously seek process improvements.
• Detail-Oriented Professional: You ensure accuracy and reliability in every aspect of your work.
• AI First: You approach your work with an AI-first mindset. You are curious about how artificial intelligence, automation, and emerging technologies can improve the way data integration work is performed. You look for opportunities to reduce manual effort, improve accuracy, accelerate issue resolution, and create more scalable workflows.
• You are a doer: You take initiative and enjoy driving tasks from inception to completion. You probably have a strong bias for action and may even become frustrated when things come to a stalemate. You use this frustration in a positive manner to drive towards a solution to move things forward.
• Collaborative: You have empathy for your colleagues. You demonstrate and influence cross-functional collaboration within the company and seek out opportunities to build relationships with others even when difficult personalities or politics stood in the way.
• Flexible: You understand that at growth stage companies, things will evolve, and you may have to be flexible in your approach and in your expectations. You are open-minded and adapt well to changing environments as a company grows and scales.
• You have a growth mindset: You love a challenge. You are intellectually curious and love to figure out how things work. You have a diverse set of interests inside and outside of work. You can articulate areas where you have worked hard on improving yourself over time
• Resilient and Optimistic: You tackle challenges head-on and turn setbacks into opportunities.
Our Values
• Customer Success Obsession
• All-Star Team Collaboration
• Continuous Improvement powered by Curiosity & Data-Driven Learning
• Courage with Kindness
• Execution Focus: We Do Business, Not Just Talk Business
Ready to Make an Impact?
Apply today and help transform healthcare data into meaningful insights that drive better outcomes.
Medisolv is committed to creating a diverse and inclusive workplace. We believe that diversity drives innovation, and we are dedicated to fostering an environment where all employees feel valued and respected.
All candidates must successfully pass a pre-employment background check and be legally authorized to work in the United States. Sponsorship is not available.