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Remote Databricks Developer Jobs in Langhorne, PA

Campbell\'s

Data Engineer

Camden, NJ · On-site +1

$110K - $152K/yr

Design, build, and maintain data pipelines in Azure Databricks for ingestion, transformation, and ... Use Azure DevOps (ADO) to manage work items, track progress, and collaborate with team members.

Pepperidge Farm, Incorporated

Data Engineer

Camden, NJ · On-site +1

$110K - $152K/yr

Design, build, and maintain data pipelines in Azure Databricks for ingestion, transformation, and ... Use Azure DevOps (ADO) to manage work items, track progress, and collaborate with team members.

Campbell's

Data Engineer

Camden, NJ · On-site +1

$110K - $152K/yr

Design, build, and maintain data pipelines in Azure Databricks for ingestion, transformation, and ... Use Azure DevOps (ADO) to manage work items, track progress, and collaborate with team members.

New

Princeton University

Cloud Engineer

Princeton, NJ · Remote

$59 - $78.75/hr

... DevOps to backend services and data pipelines - and will have meaningful ownership over the ... Architect and manage Databricks workspaces, including compute cluster configuration, access ...

Comcast

Senior Applied AI Engineer

Philadelphia, PA · On-site +1

$105K - $144K/yr

... the remote option.) Job Summary We're seeking a Senior Applied AI Engineer to join our Cloud ... Experience with data and analytics platforms such as Snowflake, Databricks, OpenSearch, or ...

Comcast

Senior Applied AI Engineer

Philadelphia, PA · On-site +1

$105K - $144K/yr

... the remote option.) Job Summary We're seeking a Senior Applied AI Engineer to join our Cloud ... Experience with data and analytics platforms such as Snowflake, Databricks, OpenSearch, or ...

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All JobsDatabricks Developer JobsRemote Databricks Developer JobsRemote Databricks Developer Jobs in Langhorne, PA

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 cities near Langhorne, PA are hiring for Remote Databricks Developer jobs? Cities near Langhorne, PA with the most Remote Databricks Developer job openings:
Remote Databricks Developer jobs near you

Data Engineer - Databricks, AWS, Python

CEI

Philadelphia, PA • Remote

$109K - $131K/yr

Full-time

Posted 8 days ago

Job description

Data Engineer – Databricks, AWS, Python
100% Remote / MUST interview on-site: Phila., PA 19103
$125,000 - $135,000/yrRole OverviewWe are seeking a Data Engineer to support the development, modernization, and delivery of data engineering assets, and the Yield Looker-to-Tableau migration, and Supply/Yield Data Engineering initiatives through the remainder of 2026. This role will focus on building reliable ETL pipelines, enhancing legacy jobs, supporting migration work, and delivering core data assets that feed analytics and reporting in Tableau Cloud.Key Responsibilities
  • Develop, test, and maintain ETL and data engineering jobs that bring data into Databricks and support downstream analytics and reporting.
  • Work with business and technical stakeholders to understand requirements and translate them into scalable, production-ready data pipelines.
  • Build and maintain pipelines across AWS, Databricks, and Snowflake environments.
  • Enhance existing legacy data engineering jobs as part of broader modernization and migration efforts.
  • Create and maintain technical documentation, technical specifications, test plans, and operational support materials.
  • Perform testing and quality assurance to validate data accuracy, pipeline reliability, and readiness for production deployment.
  • Use Terraform to provision, configure, and manage cloud infrastructure supporting data engineering workloads.
  • Set up and maintain CI/CD pipelines using Concourse, GitHub Actions, or similar tooling to enable smooth, repeatable deployments.
  • Troubleshoot pipeline issues, resolve defects quickly, and help ensure data jobs run reliably within expected service levels.
  • Provide post-delivery support, including issue investigation, defect resolution, and operational handoff.
  • Identify and mitigate risks, including single points of failure, reliability gaps, and operational dependencies.
  • Collaborate with engineers, analysts, and reporting teams to share knowledge, strengthen best practices, and improve delivery quality.
Project ScopeThe Data Engineer will augment capacity on the Supply/Yield Data Engineering team and support priority work related to INVENTORY ART, including migration activities and the development of core data pipelines and assets. These assets will support analytics and reporting used by Steve S.’s teams in Tableau Cloud. The role will also provide additional support for the Yield Looker-to-Tableau migration and related modernization efforts.Required Skills and Experience
  • Hands-on experience developing ETL, ELT, or data engineering pipelines in production environments.
  • Strong experience with Databricks, Spark-based processing, and modern data pipeline development.
  • Experience working with AWS cloud services and Snowflake data platforms.
  • Proficiency with infrastructure-as-code practices, preferably Terraform.
  • Experience implementing CI/CD practices using Concourse, GitHub Actions, or comparable deployment automation tools.
  • Ability to write clear technical specifications, documentation, and support materials.
  • Strong testing, quality assurance, troubleshooting, and operational support skills.
  • Ability to work collaboratively with cross-functional teams and translate requirements into working technical solutions.
Preferred Qualifications
  • Experience supporting analytics or BI migrations, especially from Looker to Tableau.
  • Experience developing data assets for Tableau Cloud reporting and analytics use cases.
  • Familiarity with supply, yield, inventory, or advertising-related data domains.
  • Experience modernizing or enhancing legacy data engineering jobs.
  • Strong understanding of operational reliability, risk mitigation, and single-point-of-failure reduction.

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