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Remote Databricks Developer Jobs in New York, NY

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key ... SQL * Databricks, Collibra, and/or Alteryx. * Familiarity with cloud-based data platforms ...

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 ...

Integrate metadata platforms with tools such as Databricks Unity Catalog and other data sources ... Insurance Data Domains (P&C) --- This is a remote position.

Sales Engineer (Remote)

Brooklyn, NY · On-site +1

$100K - $130K/yr

We're hiring a remote Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team ... Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka Requirements Must have ...

Sales Engineer (Remote)

New York, NY · Remote

$100K - $130K/yr

We're hiring a remote Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team ... Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka Requirements Must have ...

Metadata Developer

Manhattan, NY · On-site +1

$115K/yr

... such as Databricks Unity Catalog and other data sources • Build automated metadata ... This is a remote position. Compensation: $115,000.00 per year About In the perfect storm of ...

Data QA

New York, NY · Remote

$117K - $140K/yr

Cotiviti is seeking a QA Engineer with strong experience in testing data pipelines and validating ... The ideal candidate will have hands-on expertise with Databricks, AWS EMR, or Apache Spark , and a ...

Senior Data Engineer | Emerging Products

New York, NY · On-site +1

$116K - $157K/yr

... and Databricks -- collaborate with cross-functional teams, and help shape how we harness data to ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

Lead Sales Engineer (Remote)

Brooklyn, NY · On-site +1

$160K - $180K/yr

We're hiring a remote Lead Sales Engineer to own the technical side of our biggest enterprise deals ... Data stack fluency - Snowflake, Databricks, BigQuery, dbt, Airflow, Kafka * Interest in growing ...

We're hiring a remote Lead Sales Engineer to own the technical side of our biggest enterprise deals ... Data stack fluency - Snowflake, Databricks, BigQuery, dbt, Airflow, Kafka * Interest in growing ...

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 ...

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

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Remote Databricks Developer information

What are the key skills and qualifications needed to thrive as a remote Databricks developer, and why are they important?

To thrive as a Remote Databricks Developer, you need strong expertise in data engineering, programming languages like Python or Scala, and experience with big data frameworks, typically supported by a degree in computer science or a related field. Proficiency with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Associate Developer are commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills and qualities ensure efficient development, scalable data solutions, and effective teamwork in distributed environments.

What is the difference between Remote Databricks Developer vs Data Engineer?

AspectRemote Databricks DeveloperData Engineer
Required SkillsProficiency in Databricks, Spark, Python, SQLProficiency in data pipelines, ETL, cloud platforms, SQL
Work EnvironmentCollaborates on data projects using Databricks platformBuilds and maintains data infrastructure across cloud environments
CertificationsDatabricks certifications often preferredCloud certifications (AWS, Azure), data engineering certifications

While both roles involve working with data and cloud platforms, a Remote Databricks Developer specializes in developing solutions within the Databricks environment, focusing on Spark and data analytics. A Data Engineer has a broader scope, designing and maintaining data pipelines and infrastructure across various platforms. The roles overlap in skills like SQL and cloud knowledge, but their primary focus and tools differ.

How does a remote Databricks developer typically collaborate with cross-functional teams while working from different locations?

Remote Databricks Developers often work closely with data engineers, data scientists, and business analysts through virtual collaboration tools like Slack, Jira, and Zoom. Since team members may be distributed across various time zones, clear communication, regular stand-up meetings, and thorough documentation are essential for ensuring alignment on project goals and deadlines. Developers are also expected to participate in code reviews and shared knowledge sessions to maintain coding standards and support a collaborative environment. This structure helps ensure that complex data solutions are delivered efficiently and meet business requirements.

What is a remote Databricks developer?

A Remote Databricks Developer is a software professional who specializes in building, managing, and optimizing data pipelines and analytics workflows on the Databricks platform, while working from a remote location. They use Databricks, which is based on Apache Spark, to process large datasets, develop ETL processes, implement machine learning models, and collaborate with data teams. Their responsibilities often include writing code in languages like Python, Scala, or SQL, integrating with cloud services, and ensuring data quality and security. Working remotely, they communicate with teams online and use cloud-based tools to complete their tasks efficiently.
What are the most commonly searched types of Databricks Developer jobs in New York, NY? The most popular types of Databricks Developer jobs in New York, NY are:
What are popular job titles related to Remote Databricks Developer jobs in New York, NY? For Remote Databricks Developer jobs in New York, NY, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Developer jobs in New York, NY look for? The top searched job categories for Remote Databricks Developer jobs in New York, NY are:

Azure Databricks Platform Support Engineer 3641534

Axiom Path

New York, NY • Remote

$70 - $75/hr

Full-time

Posted 7 days ago


Job description

Be Part Of A High-Performing Team:

Join a technology organization supporting data and analytics platforms within a global financial services environment. This team is focused on building secure, scalable cloud infrastructure that enables application teams to use Azure and Databricks effectively. The environment combines hands-on technical support, infrastructure automation, platform governance, and close collaboration across engineering and application teams.

What's In Store For You:

  • Engagement: W2 only (no C2C/1099).
  • Fully remote work arrangement aligned primarily with Eastern Time business hours.
  • Opportunity to deepen experience across Azure, Databricks, Infrastructure as Code, CI/CD, and enterprise data-platform operations.
  • Exposure to cloud resource provisioning, Databricks governance, application onboarding, and process automation.
  • Long-term contract opportunity supporting a highly visible enterprise technology team.

How You Will Make An Impact:

  • Provide first-level technical support to application teams through ServiceNow, resolving common Azure and Databricks platform requests.
  • Gather technical requirements and guide application teams through the onboarding of new Data Landing Zones.
  • Execute pipelines, scripts, and Infrastructure as Code deployments to provision or modify Azure and Databricks resources.
  • Support the deployment of frequently requested cloud services using standardized, repeatable processes.
  • Automate recurring support activities to improve response times, reliability, and operational efficiency.
  • Troubleshoot access, permissions, authentication, deployment, and platform configuration issues.
  • Create and maintain clear documentation covering support procedures, workflows, and onboarding processes.
  • Partner with application developers, cloud engineers, and platform stakeholders to resolve requests and improve the user experience.

Do you bring proven success in Azure Databricks platform support?

  • 1–3 years of hands-on experience supporting or administering Databricks environments.
  • 1–3 years of experience working with Azure Data Factory.
  • Previous experience in application support, production support, cloud operations, or technical platform support.
  • Working knowledge of Microsoft Azure and familiarity with AWS or Google Cloud Platform.
  • Experience using Git-based source-control platforms such as GitHub, GitLab, or Azure Repos.
  • Ability to execute and troubleshoot deployment pipelines, scripts, and cloud provisioning workflows.
  • Strong analytical skills with the ability to gather requirements and translate them into technical actions.
  • Clear written and verbal communication skills, particularly when supporting application teams and documenting procedures.
  • Experience with Databricks Unity Catalog, role-based access control, authentication methods, or Delta Sharing is strongly preferred.
  • Experience with Infrastructure as Code tools such as Terraform, Bicep, or AWS CDK is preferred.
  • Familiarity with Azure DevOps, Jenkins, or GitHub Actions is preferred.
  • Scripting experience with Python, PowerShell, or Bash is preferred.