ZipRecruiter

Log In

2

Remote Databricks Data Engineer Jobs (NOW HIRING)

Cloudacio

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and ... Azure: Databricks, Data Factory, Azure SQL Database, Blob Storage, Event Hubs * GCP: BigQuery ...

QVC

Data Engineer

West Chester, PA · Remote

$108K - $130K/yr

Where You'll Work This role is remote; job seekers must reside in one of the following states to be ... Experience using Azure tools (Databricks, Data Factory, Delta Lake, Synapse, ADLS, PySpark, SQL ...

Medisolv, Inc

$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 ...

Noblesoft Technologies

Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

... MN(Remote) Job Details: Candidate should be proficient in Data engineering skills : Data Bricks, ADF, Python, Pyspark, Azure services Data Engineer : Python, PySpark, Databricks with UC, Azure ...

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 ...

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 ...

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 ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

... Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks. * This remote contract-to ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111K - $133K/yr

... Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks. * This remote contract-to ...

Databricks

Principal Data Scientist

Seattle, WA · On-site +1

... are open to remote candidates in other locations. Databricks is looking for a Principal Data ... Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

... Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks. * This remote contract-to ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

... Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks. * This remote contract-to ...

previous pagenext page

Showing results 21-40

All JobsDatabricks Data Engineer JobsRemote Databricks Data Engineer Jobs

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 Jul 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 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
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:
What job categories do people searching Remote Databricks Data Engineer jobs look for? The top searched job categories for Remote Databricks Data Engineer jobs are:
Remote Databricks Data Engineer jobs near you
Infographic showing various Remote Databricks Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer (Contract) (Remote)

Cloudacio

Manhattan, NY • Remote

$126K - $151K/yr

Contractor

Re-posted 24 days ago

Job description

About Cloudacio:

Cloudacio stands at the forefront of cloud technology, pioneering advanced, AI-driven solutions to revolutionize how businesses leverage the cloud. Our core values revolve around relentless innovation, technical excellence, and a steadfast commitment to delivering cutting-edge cloud services. Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and innovate from anywhere in the world.
Role Overview:

We are seeking a skilled Data Engineer to join our dynamic team. This role involves developing and optimizing data pipelines, implementing big data solutions, and contributing to our advanced cloud-based projects. The candidate should be versatile in various data engineering technologies and methodologies, capable of working independently as well as collaboratively in a remote team environment. Proficiency in English is essential for effective communication with clients. Availability for scheduled client meetings and responsiveness on Slack during EST business hours is required.
Key Responsibilities:
  • Design, build, and optimize data pipelines, architectures, and data sets.
  • Work with big data technologies to solve complex data processing challenges.
  • Implement ETL processes and data warehousing solutions.
  • Attend meetings, providing pre-sales support and technical insights.
  • Collaborate with cross-functional teams to integrate data solutions into broader projects.
  • Engage in cloud-based data solutions using AWS, Azure, or GCP.
  • Ensure data integrity, efficiency, and scalability in all solutions.
Core Skills:
  • Strong proficiency in Python
  • Experience with SQL and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
  • Expertise in ETL processes and tools.
  • Proficiency in one or more cloud platforms: AWS, Azure, or GCP, with specific technologies including:
  • AWS: Glue, Redshift, EMR, Lambda, S3, Kinesis, Athena
  • Azure: Databricks, Data Factory, Azure SQL Database, Blob Storage, Event Hubs
  • GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage
  • Familiarity with big data tools like Hadoop, Spark, or Airflow.
  • Experience with Snowflake for cloud data warehousing.
  • Strong problem-solving skills and attention to detail.
  • Excellent English communication skills for client-facing roles and technical discussions.
  • Previous consulting or startup environment experience.
  • Ability to independently handle customer interactions and lead projects.

Desired Skills:
  • Experience with Looker, PowerBI, Tableau, or Grafana for data visualization.
  • Experience with machine learning and analytics.
  • Familiarity with containerization technologies like Docker, Kubernetes, and Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.
  • Knowledge of API development and integration.
  • Experience with streaming technologies such as Kafka or Flink.
  • Understanding of data privacy and compliance regulations (e.g., GDPR, HIPAA).

What We Offer:
  • Flexible work arrangements to accommodate project needs and personal preferences.
  • Growth potential in a dynamic environment focusing on AI and cloud technologies.
  • A culture that values innovation, communication, and proactive problem-solving.
  • Opportunity to work on innovative projects with significant real-world impact.
Employment Type: CONTRACTOR

Apply