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

... Databricks, or Azure Security Center). Preferred Qualifications: Bachelor's degree in ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Senior Data Engineer

Bethesda, MD · Remote

$118K - $139K/yr

Experience with Snowflake Snowpark, Azure Data Factory and Databricks Experience implementing and ... We're a nimble, remote-first team with a bold mission to redefine pharmacy benefits-and we're just ...

This position is Remote Must live in the US. Responsibilities 1. Product Vision & Strategy · ... Databricks, AWS, Azure, GCP, Salesforce Data Cloud). · Working knowledge of Data Governance (e.g.

Fully Remote Assignment Type: Contract Only Duration: ~ 6 Months Role Overview: We're seeking a ... Experience with Azure Data Lake, Data Warehousing concepts, and Power BI * Hands-on experience with ...

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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 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:
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.
Enterprise AI Security Engineer

Enterprise AI Security Engineer

ManTech

Washington, DC • Remote

$141K - $236K/yr

Other

Medical, Life, Retirement, PTO

Posted 24 days ago


ManTech rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

32nd of 190 rated software companies


Job description

Description & Requirements
Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!
***This is for a future opportunity***

MANTECH seeks a motivated, career and customer oriented Enterprise AI Security Engineer for a new initiative. This effort supports the rapid design, deployment, operation, and sustainment of enterprise-scale AI, data, and mission platform capabilities across the cloud, edge, and classified operational environment.

This role supports Authorization and Accreditation (A&A), Risk Management Framework (RMF) ATO, runtime security, and Zero Trust implementation for enterprise AI systems. You will integrate security and policy enforcement across the AI platform.

Responsibilities include but are not limited to:

       Lead and manage Authorization and Accreditation (A&A) activities under the Risk Management Framework (RMF) for enterprise AI systems.

       Design and implement Zero Trust architectures and robust Identity and Access Management (IAM) solutions.

       Develop and enforce runtime security policies using tools like Open Policy Agent (OPA).

       Integrate AI governance practices and implement classification-aware access control.

       Manage compliance documentation and evidence gathering using platforms like XACTA and/or eMASS.

Minimum Qualifications:

       7 or more years of experience in Information System Security Engineering (ISSE) or A&A/RMF compliance. Relevant additional experience will be considered in lieu of degree.

       In-depth, practical experience with the Risk Management Framework (RMF) and obtaining an Authority to Operate (ATO).

       Expertise in security architecture design, including Identity Management and Zero Trust principles.

       Demonstrated experience with compliance documentation platforms or policy enforcement tools.

       Proven experience designing, building, securing or monitoring scalable solutions within the Microsoft Azure ecosystem (e.g., Azure OpenAI, Azure Synapse, Databricks, or Azure Security Center).

Preferred Qualifications:

       Bachelor's degree in Cyber Security, Information Systems, or a related technical field.

       Experience implementing Keycloak for identity integration.

       Professional security certifications (e.g., CISSP, CISM, RMF certification).

       Direct experience integrating security controls into AI/ML or LLM solutions.

Clearance Requirements:

       TS/SCI with ability to obtain and maintain a polygraph 

Physical Requirements:

       The person in this position must be able to remain in a stationary position 50% of the time.

       Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.

       Constantly operates a computer and other office productivity machinery.


The projected compensation range for this position is $141,500.00-$236,000.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories.  In addition, MANTECH invests in its employees beyond just compensation.  MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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