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Remote Databricks Jobs in Wilmington, DE (NOW HIRING)

DEW Softech Inc

Workday Finance Consultant

Newark, DE · Remote

Remote Contract Duration: 6+ Months Required skills, experience, etc.: 5-7+ years of hands-on ... Databricks is a plus. Interview process: 2 virtual technical interview We are seeking a skilled and ...

DEW Softech Inc

Workday Finance Consultant

Newark, DE · Remote

Remote Contract Duration: 6+ Months Required skills, experience, etc.: 5-7+ years of hands-on ... Databricks is a plus. Interview process: 2 virtual technical interview We are seeking a skilled and ...

Comcast

Data Engineer

West Chester, PA · On-site +1

$108K - $130K/yr

... for the remote option.) Job Summary We are seeking a Data Engineer to join our Data Product ... Build and enhance cloud-native data solutions using AWS, Databricks, and PySpark. * Develop and ...

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 ...

Comcast

Senior Compliance Analyst

Philadelphia, PA · On-site +1

... remote option.) Job Summary Job Summary We are seeking a highly analytical and technically ... Familiarity with (or ability to learn) Snowflake and Databricks environments * Experience analyzing ...

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All JobsDatabricks JobsRemote Databricks JobsRemote Databricks Jobs in Wilmington, DE

Remote Databricks information

What is a remote Databricks engineer?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

What are the key skills and qualifications needed to thrive as a remote Databricks engineer?

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

What job categories do people searching Remote Databricks jobs in Wilmington, DE look for?

The top searched job categories for Remote Databricks jobs in Wilmington, DE are:

Remote Databricks jobs near you

Platform Data Engineer - (DataBricks, PySpark, AWS)

Comcast

West Chester, PA • On-site, Remote

$108K - $130K/yr

Full-time

Posted 8 days ago

Job description

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You'll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

We are seeking a Data Engineer(Engineer 3) to join our Data Product Engineering Team team responsible for managing and evolving the enterprise Data Lake that supports critical datasets across the GTO organization. This team owns large-scale workforce, billing, and interaction datasets and is focused on building scalable, reliable, and high-performance data solutions that enable analytics, reporting, and business decision-making.
The ideal candidate will have strong experience building and optimizing distributed data pipelines in cloud environments, working with high-volume datasets, and partnering with cross-functional teams to deliver impactful data products. This role offers the opportunity to work with environments processing over 50TB of interaction data, leveraging modern technologies including AWS, PySpark, Databricks, Kafka, Kubernetes, and Airflow.

Job Description

Key Responsibilities

  • Design, develop, maintain, and optimize scalable data pipelines supporting workforce, billing, interaction, and other enterprise datasets.
  • Build and enhance cloud-native data solutions using AWS, Databricks, and PySpark.
  • Develop and support batch and streaming data processing frameworks, integrating source systems and interfaces through modern data architectures.
  • Leverage technologies such as Kafka and Databricks streaming solutions to ingest and process high-volume data in near real-time.
  • Drive data pipeline performance tuning, automation initiatives, and operational improvements across the platform.
  • Provide production support, troubleshooting, and root-cause analysis for critical data workflows.
  • Work with large-scale distributed systems and high-concurrency environments processing tens of terabytes of data.
  • Utilize MWAA (Managed Workflows for Apache Airflow) to orchestrate and manage data workflows.
  • Collaborate closely with Product, Data Governance, Analytics, and Engineering teams across both onshore and offshore delivery models.
  • Support data warehousing initiatives and help establish best practices for data quality, scalability, and reliability.
  • Mentor junior engineers, provide technical guidance, and contribute to the growth and development of Engineering I team members.
  • Participate in architectural discussions and contribute to the long-term evolution of the enterprise data platform.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
  • 5+ years of experience in Data Engineering, Data Platform Engineering, or related disciplines.
  • Strong hands-on experience with:
    • AWS
    • PySpark
    • Databricks
  • Experience building and maintaining large-scale ETL/ELT pipelines.
  • Strong understanding of distributed systems and large-volume data processing.
  • Experience with data warehousing concepts and modern data architectures.
  • Experience orchestrating workflows using Apache Airflow/MWAA.
  • Knowledge of Kubernetes fundamentals, including pod lifecycle, job orchestration, and workload configuration.
  • Proficiency in Python development within data engineering environments.
  • Experience supporting production data platforms and driving operational excellence.
  • Strong communication and collaboration skills with the ability to work effectively across multiple teams.

Preferred Qualifications

  • Experience with Snowflake.
  • Experience with Kafka and streaming data architectures.
  • Experience with Amazon EKS (Elastic Kubernetes Service).
  • Background working with large-scale interaction, advertising, marketing, or customer engagement datasets.
  • Experience implementing data platform automation, observability, and monitoring solutions.
  • Prior experience mentoring junior engineers and leading technical initiatives.

Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills

Amazon Web Services (AWS), Apache Airflow, Communication, Databricks Platform, PySpark

We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality-to help support you physically, financially and emotionally through the big milestones and in your everyday life.


Please visit the benefits summary on our careers site for more details.

Education

Bachelor's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relevant Work Experience

5-7 YearsComcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

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