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Remote Azure Databricks Jobs in Chevy Chase, MD (NOW HIRING)

ICF

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings ... Databricks on Azure for data engineering and ML pipeline support. * SQL, Python, Spark, Tableau.

New

Humana

Senior Applied AI Engineer

Washington, DC · On-site +1

$118K - $162K/yr

Deploy and maintain AI systems across Databricks and Microsoft Azure services such as Azure ... This position's work style is remote from any of the locations listed below. You must reside in ...

New

Humana

Senior Applied AI Engineer

Washington, DC · On-site +1

$118K - $162K/yr

Deploy and maintain AI systems across Databricks and Microsoft Azure services such as Azure ... This position's work style is remote from any of the locations listed below. You must reside in ...

New

Humana

Senior Applied AI Engineer

Washington, DC · On-site +1

$118K - $162K/yr

Deploy and maintain AI systems across Databricks and Microsoft Azure services such as Azure ... This position's work style is remote from any of the locations listed below. You must reside in ...

New

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... AWS Data Engineer, AWS AI/ML Specialty, Azure AI Engineer, Databricks Data Engineer. * Experience ...

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 ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... AWS Data Engineer, AWS AI/ML Specialty, Azure AI Engineer, Databricks Data Engineer. * Experience ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... AWS Data Engineer, AWS AI/ML Specialty, Azure AI Engineer, Databricks Data Engineer. * Experience ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... AWS Data Engineer, AWS AI/ML Specialty, Azure AI Engineer, Databricks Data Engineer. * Experience ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... AWS Data Engineer, AWS AI/ML Specialty, Azure AI Engineer, Databricks Data Engineer. * Experience ...

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All JobsAzure Databricks JobsRemote Azure Databricks JobsRemote Azure Databricks Jobs in Chevy Chase, MD

Remote Azure Databricks information

Is Databricks a high paying job?

A remote Azure Databricks professional, such as a data engineer or data scientist, typically earns a competitive salary due to the specialized skills required, including expertise in cloud platforms, Spark, and data analytics. Salaries vary based on experience, location, and certifications but are generally above average for tech roles in data management and cloud computing.

What is the salary of Azure Databricks developer?

The salary of an Azure Databricks developer typically ranges from $90,000 to $140,000 annually, depending on experience, location, and certifications. Skilled professionals with expertise in Spark, cloud environments, and data engineering can command higher salaries.

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.

Do Databricks have remote positions?

Remote positions for roles involving Azure Databricks are available, especially for data engineers, data scientists, and cloud specialists. Many companies offer remote work options for these roles, often requiring proficiency with cloud platforms, Spark, and data processing tools. Availability depends on the employer and specific job requirements.

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.

Is Azure Databricks in demand?

Azure Databricks professionals are in high demand due to the platform's widespread adoption for big data analytics and machine learning projects. Skills in Spark, cloud computing, and data engineering with Azure are valuable for these roles, which are often available in industries focusing on data-driven decision making.

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 cities near Chevy Chase, MD are hiring for Remote Azure Databricks jobs? Cities near Chevy Chase, MD with the most Remote Azure Databricks job openings:
Remote Azure Databricks jobs near you
Databricks Migration Engineer (Remote)

Databricks Migration Engineer (Remote)

A.C. Coy

Rosslyn, VA • Remote

Contractor

Posted 3 days ago

New

Job description

  • Tier One Technologies is seeking a Databricks Migration Engineer to support our US Government client.
  • This remote Contract-to-Hire position will be originated in Rosslyn, VA. Washington DC area and East Coast time zone candidates preferred.
  • Must be a US Citizen.
  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.

  • Lead the technical migration from legacy SQL Server stored procedures and ADF pipelines to Databricks Lakehouse (Delta Lake), ensuring best practice Lakehouse design.
  • Translate traditional relational data warehousing paradigms into scalable, distributed Lakehouse frameworks (Bronze, Silver, Gold).
  • Design robust, reusable ETL/ELT frameworks using PySpark, Delta Live Tables (DLT), and Databricks Workflows.
  • Architect and refine the Gold Layer (dimensional models, star schemas) specifically to maximize Power BI performance.
  • Optimize Databricks SQL Warehouses to support high-concurrency, low-latency Power BI queries (DirectQuery and Import modes).
  • Implement advanced optimization techniques, including Z-Ordering, data skipping, liquid clustering, and materialized views.
  • Define and enforce governance standards for cluster sizing, auto-scaling policies, and serverless SQL compute to balance performance with cost.
  • Implement proactive monitoring dashboards to track Databricks Unit (DBU) consumption and identify cost-saving opportunities.
  • Establish best practices for partition strategies and file size management within Delta Lake.
  • Design and implement a robust data security model using Unity Catalog for centralized governance.
  • Enforce row-level and column-level security policies to ensure compliant data access for Power BI consumers and internal analysts.
  • Align the Lakehouse security architecture with existing enterprise Azure Active Directory (Microsoft Entra ID) and RBAC standards.
  • Act as the primary technical lead, conducting dedicated pair-programming sessions, workshops, and code reviews to transition the team from SQL-centric to Spark-centric thinking.
  • Create comprehensive technical documentation, including architecture diagrams, design patterns, and optimization playbooks.
  • Build a foundational knowledge transfer framework to ensure the internal team is fully self-sufficient post-migration.
  • Communicate effectively verbally and in written form to both technical and non-technical audience
  • Work in an organized fashion, completing tasks timely while paying close attention to details

  • Bachelor's degree or higher from an accredited college or university in Computer Science, Engineering, or a related technical field.
  • 5+ years of experience in Data Engineering, Data System Development or related roles.
  • 5+ years of experience with Cloud platforms (e.g. Azure, AWS, GCP).
  • 1+ year leading complex, cross-functional data projects and technical teams.
  • Experience with Databricks Lakehouse, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms.
  • Experience with data warehousing, dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark.
  • Excellent communication skills.
  • Must be a US Citizen and be able to obtain a Position of Public Trust Clearance.
  • Must have resided in the US for the last 5 years and not have traveled outside the US for a combined total of 6 months or more in last 5 years.
A.C. Coy Company- Staffing & Consulting Services logo

About A.C. Coy Company- Staffing & Consulting Services

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Since 1986, our mission is to be the “Always on Target” staffing and consulting provider by helping people and companies achieve their hiring goals. The team is dedicated to achieving these goals by attracting and retaining top talent that meets our clients’ culture and environment. We are fully engaged with our people and companies through ongoing communication to ensure expectations are met.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Canonsburg, PA, US

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