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Remote Databricks Data Engineer Jobs in Chesapeake, VA

Senior Site Reliability Engineer

Norfolk, VA ยท Remote

$55.25 - $73.25/hr

... Data & AI, Autonomous Operations & Intelligence, and Enterprise Service Management. We help ... This is a remote, contract opportunity for a project Arctiq is delivering for a client. Candidates ...

We combine quality data-driven solutions that fuel answers, technology that advances performance ... This is a remote position. Candidates must be able to sit, read, work on a computer, and watch a ...

Sr Site Reliability Engineer

Virginia Beach, VA ยท On-site +1

$145K - $175K/yr

We combine quality data-driven solutions that fuel answers, technology that advances performance ... This is a remote position. While performing the duties of this job, the employee regularly works in ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Showing results 41-60

Remote Databricks Data Engineer information

See Chesapeake, VA salary details

$43.2K

$126K

$172.4K

How much do remote databricks data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote databricks data engineer in Chesapeake, VA is $125,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $133,500.00 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.

What are the most commonly searched types of Databricks Data Engineer jobs in Chesapeake, VA?

The most popular types of Databricks Data Engineer jobs in Chesapeake, VA are:

What are popular job titles related to Remote Databricks Data Engineer jobs in Chesapeake, VA?

For Remote Databricks Data Engineer jobs in Chesapeake, VA, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Data Engineer jobs in Chesapeake, VA look for?

The top searched job categories for Remote Databricks Data Engineer jobs in Chesapeake, VA are:

What cities near Chesapeake, VA are hiring for Remote Databricks Data Engineer jobs?

Cities near Chesapeake, VA with the most Remote Databricks Data Engineer job openings:

Infographic showing various Remote Databricks Data Engineer job openings in Chesapeake, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 8% Hybrid, and 92% Remote job distribution, with an average salary of $125,979 per year, or $60.6 per hour.

Senior Site Reliability Engineer

Arctiq, Inc.

Norfolk, VA โ€ข Remote

$55.25 - $73.25/hr

Contractor

Re-posted 25 days ago


Job description

Company Overview:
Arctiq is a global, intelligence-driven technology services company delivering professional and managed services across Hybrid Cloud Infrastructure, Networking & Connected Experiences, Cybersecurity, Data & AI, Autonomous Operations & Intelligence, and Enterprise Service Management. We help organizations operate, secure, and modernize complex environments by unifying infrastructure, networking, data, security, automation, and observability under a single, integrated operating model. Our work focuses on helping customers reduce operational friction, improve resilience, and make better, faster decisions as their environments evolve. Arctiq builds on decades of industry expertise and a customer-centric ethos to deliver exceptional value to clients across diverse industries.


This is a remote, contract opportunity for a project Arctiq is delivering for a client. Candidates must have or be able to obtain a Secret Clearance.


This position requires U.S. citizenship due to government security clearance and/or federal contract requirements


This is a remote opportunity with preference to candidates located in San Diego, CA, Norfolk, VA or Charleston, SC


Position Overview:

The Senior Site Reliability Engineer is a technical leader responsible for architecting the reliability strategy for large-scale, distributed government systems. You will lead the implementation of the SRE framework, driving the adoption of SLO-based management and advanced automation. As a subject matter expert, you will mentor mid-level engineers and interface with government stakeholders to ensure system resilience and performance meet mission requirements.



Responsibilities:


  • Reliability Architecture: Define the strategy for Service Level Objectives (SLOs) and Error Budgets. Design complex telemetry pipelines for full-stack observability.
  • Strategic Automation: Design and govern the enterprise Infrastructure as Code (IaC) standards. Develop custom tooling to automate complex recovery procedures and system scaling.
  • Incident Command: Act as the Incident Commander for major system outages, leading the technical response and directing the Root Cause Analysis (RCA) process.
  • Security & Compliance: Lead the integration of security-as-code within DevSecOps pipelines, ensuring full compliance with RMF and NIST 800-53 standards.
  • Mentorship: Provide technical guidance and mentorship to Mid-Level SREs and developers, fostering a culture of reliability across the organization.


Qualifications:


  • 7+ years of experience in SRE or DevOps, with significant experience in distributed systems.
  • Expertise in Go, Python, or Java and advanced knowledge of Linux internals.
  • Extensive experience managing production Kubernetes environments and complex cloud architectures.
  • Proven track record of defining and meeting SLOs for high-availability systems.
  • Experience navigating government Risk Management Framework (RMF) processes.
  • Education: Bachelor's or Master's degree in Computer Science or Engineering.
  • Certifications: CKA (Certified Kubernetes Administrator) and industry observability certification preferred
  • Strong Communication
  • Comfortable Interacting with Leadership
  • Promoting Best Practices
  • Understanding Operations and Procedures to help lead the team
  • 7+ Years of Leadership Experience
  • Executive Presence


Arctiq is an equal opportunity employer. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply.

We thank you foryour interest in joining the Arctiq team! While we welcome all applicants, only those who are selected for an interview will be contacted.