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Remote Azure Databricks Jobs in Washington, DC (NOW HIRING)

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Technical Data Steward - remote

Vienna, VA · Remote

$64 - $80/hr

This is a long term, remote contracting position for candidates who live in the United States. We ... DataBricks, Azure) · Data quality and data lifecycle management · Enterprise platforms (e.g ...

Sparibis

Power Apps Developer

Washington, DC · On-site +1

Location: 100% Remote Years' Experience: 9+ years Professional Experience Education: Bachelor ... Databricks. * Transform data sources into data tables within tools to include Powers Apps and ...

ITC Federal, Inc.

AI/ML Solutions Architect

Fairfax, VA · On-site +1

$180K - $220K/yr

Hybrid - 3 days onsite/2 remote POSITION TIMING: ASAP; hiring immediately BENEFITS: Health, Dental ... Build ETL/ELT workflows using tools such as Azure Data Factory, Apache Airflow, or similar

Humana

Director, Technology Solutions

Washington, DC · On-site +1

Strong hands-on expertise with Databricks, Snowflake, APIs, HL7, FHIR, and healthcare ... Cloud platform experience (Azure, AWS, or GCP). * Experience leading large-scale healthcare ...

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Remote Azure Databricks information

What are Remote Azure Databricks jobs?

Remote Azure Databricks jobs are positions where professionals use Azure Databricks—a cloud-based analytics platform optimized for big data and machine learning—while working from a remote location. These roles typically involve tasks like building data pipelines, analyzing large datasets, developing and deploying machine learning models, and collaborating with teams virtually. Remote Azure Databricks professionals need strong skills in Spark, Python or Scala, and a good understanding of cloud computing. They often work as data engineers, data scientists, or analytics specialists, leveraging the platform’s capabilities to deliver data-driven insights for organizations.

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

AspectRemote Azure DatabricksRemote Data Engineer
Required CredentialsAzure certifications, Spark/Databricks knowledgeData engineering certifications, SQL, cloud platform skills
Work EnvironmentCloud-based, collaborative platform for data analyticsData pipelines, database management, cloud environments
Industry UsageData analytics, AI, machine learning projectsData pipeline development, ETL processes

Remote Azure Databricks specialists focus on leveraging the Databricks platform for data analytics and machine learning, often working within cloud environments. Remote Data Engineers build and maintain data pipelines and infrastructure, frequently using cloud tools. While both roles require cloud and data skills, Azure Databricks roles are more centered on analytics and AI, whereas Data Engineers focus on data infrastructure and processing.

What are the key skills and qualifications needed to thrive as a Remote Azure Databricks professional, and why are they important?

To thrive as a Remote Azure Databricks professional, you need strong expertise in data engineering, cloud computing, and proficiency in programming languages such as Python or Scala, typically supported by a relevant degree or certifications. Familiarity with Azure services, Databricks platform, Spark, and data pipeline orchestration tools is essential, often validated by Microsoft Azure or Databricks certifications. Excellent problem-solving, collaboration, and communication skills help you work effectively in distributed teams and convey complex technical concepts clearly. These skills and qualifications ensure robust data solutions, efficient remote teamwork, and the ability to leverage cloud analytics for business impact.

What are some common challenges faced by Remote Azure Databricks engineers, and how can they be managed?

Remote Azure Databricks engineers often encounter challenges related to collaboration and data security. Since Databricks projects typically involve large datasets and multiple stakeholders, coordinating work across time zones and ensuring secure data access can be complex. To manage these challenges, it's important to establish clear communication channels, use project management tools, and follow best practices in data governance. Regular team meetings and thorough documentation also help maintain alignment and ensure project success.
What are the most commonly searched types of Azure Databricks jobs in Washington, DC? The most popular types of Azure Databricks jobs in Washington, DC are:
What are popular job titles related to Remote Azure Databricks jobs in Washington, DC? For Remote Azure Databricks jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Azure Databricks jobs in Washington, DC look for? The top searched job categories for Remote Azure Databricks jobs in Washington, DC are:
Remote Azure Databricks jobs near you
Infographic showing various Remote Azure Databricks job openings in Washington, DC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.
Senior DevOps Engineer - (US - Remote)

Senior DevOps Engineer - (US - Remote)

ICF

Reston, VA • Remote

$135K - $173K/yr

Full-time

Posted 4 days ago

Job description

Our Engineering and Emerging Technologies (EET) team works side by side with customers to articulate a vision for success, and then make it happen. We know success doesn't happen by accident. It takes the right team of people, working together on the right solutions for the customer. We are looking for a Senior DevOps Engineer who will be a key driver to make this happen.

In this position, you will be part of the team building best in class enterprise data analytics platform. Learn and grow using Azure Infrastructure, DevSecOps, Databricks, SAFe, incremental delivery philosophy with highly supportive peers constantly sharing subject matter expertise. We're looking for an engineer that loves working the latest technologies and embraces a growth mindset.

Responsibilities:

  • Implement best in class cloud-based solutions in Azure using infrastructure as code (Terraform)
  • Deploy, setup, and run infrastructure configurations for various Azure services
  • Manage and optimize Databricks clusters, ensuring high availability, performance, and security
  • Architect and implement scalable, reliable, and secure platform solutions
  • Manage Kubernetes clusters including deployment pipelines, tuning, and troubleshooting
  • Write Python based APIs and design relational data models
  • Engage with technical stakeholders including but not limited to application development, networking, infrastructure, information security, risk, enterprise identity and access management, and security operations
  • Enable and optimize the automation of application and infrastructure environments
  • Be part of a team where you collaborate to build cloud infrastructure, with an understanding of Kubernetes, Containers and serverless functions
  • Develop, maintain and improve continuousintegration/continuousdelivery (CI/CD) pipelines for delivering features, fixes and system updates in development, integration and production environments.
  • Set up, integrate, and maintain a scalable, stable set of CI/CD tools to support development, testing, and security scanning.
  • Implement application metrics collection and log aggregation to provide continuous monitoring capabilities, track all aspects of the system, infrastructure, performance, application errors and roll up metrics.
  • Analyze functional and non-functional business requirements, translate them into technical operational requirements, and propose CI/CD pipelines with tools and plugins.
  • Making a big impact as part of a small team that's pushing boundaries

What you must bring:

  • U.S. citizenship is required for this position due to government contract and security requirements.
  • 3+ years of experience with Kubernetes and containers
  • 3+ years of experience with Python API development and relational database modeling
  • 3+ years of experience in setting up CI/CD Pipelines with integration with open-source plugins.
  • Proficiency in Databricks administration, including cluster management, performance tuning, and security
  • 3+ years of experience in DevOps/Agile/Scrum environments and development, sAFE Framework a plus.
  • 3+ years of experience with monitoring tools like Application Insights, Prometheus, or Datadog
  • 3+ years of experience with open technologies and related Infrastructure as Code (IaC) tools, JIRA, including Docker, Kubernetes, GitHub, Git and others.
  • 3+ years of strong hands-on experience with configuration management, cloud orchestration and automation tools with Azure environments.
  • 3+ years' experience with provisioning and managing infrastructure as well as applications in Azure cloud environments.
  • 2+ years of experience with identifying and implementing automation for ContinuousIntegration/ContinuousDeployment.
  • 2+ years' experience writing infrastructure as code using Terraform
  • Candidate must be able to obtain and maintain a Public Trust
  • Candidate must reside in the US, be authorized to work in the US, and work must be performed in the US

Preferred Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering or other related scientific or technical discipline

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$108,476.00 - $184,409.00Nationwide Remote Office (US99)

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