ZipRecruiter

Log In

2

Remote Azure Databricks Jobs in Virginia (NOW HIRING)

Think Consulting

Sr Data & AI Engineer

Virginia Beach, VA · On-site +1

$101K - $121K/yr

Flexible / Hybrid / Remote (as applicable) About the Role We are seeking a highly experienced ... Azure, or GCP. * Experience working with modern data platforms and warehouses, including Databricks.

SAIC

Data Engineering Team Lead

Arlington, VA · Remote

$131K - $158K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking qualified applicants to ... technologies such as Hadoop, Databricks, and Splunk. * Expert in designing future-state ...

New

Anika Systems

AI Engineer

Leesburg, VA · On-site +1

This position is currently remote; however, in accordance with federal contract requirements and ... Working knowledge of a data/lakehouse platform (Databricks, Snowflake) and SQL beyond CRUD.

Telus Digital

Boston, MA, Columbus, OH, Charlottesville, VA, or Durham, NC, OR in a Work From Anywhere (Remote ... APIs (NodeJS, Spring, .NET, Python), Cloud (AWS, Azure, GCP), Data Services/Systems (SQL, NoSQL ...

SAIC

Data Engineering Team Lead

Arlington, VA · Remote

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking qualified applicants to ... technologies such as Hadoop, Databricks, and Splunk. * Expert in designing future-state ...

New

Sentara

Pharmacy IT Solutions Manager

Norfolk, VA · Remote

$91K - $152K/yr

Experience with Databricks, Azure Synapse, SQL, and advanced Microsoft Excel required. * Experience ... For positions that are available as remote work, Sentara Health employs associates in the following ...

Sentara

Pharmacy IT Solutions Manager

Norfolk, VA · Remote

$63 - $74/hr

Experience with Databricks, Azure Synapse, SQL, and advanced Microsoft Excel required. * Experience ... For positions that are available as remote work, Sentara Health employs associates in the following ...

Sentara Healthcare

Pharmacy IT Solutions Manager

Norfolk, VA · On-site +1

$63 - $74/hr

Experience with Databricks, Azure Synapse, SQL, and advanced Microsoft Excel required. * Experience ... For positions that are available as remote work, Sentara Health employs associates in the following ...

Carrington

Senior, Data Engineer

Richmond, VA · Remote

$140K - $160K/yr

Come join our amazing team and work remote from home! What you'll do: Under direct supervision ... Azure Data Factory, Fabric, Snowflake, or Databricks) to lead and optimize data integration and ...

Genworth

Sr Manager - Data Architecture

Richmond, VA · On-site +1

$120K - $195K/yr

... remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama ... Experience with big data technologies and platforms (e.g., DataBricks, Spark, AWS, Azure). * Expert ...

next page

Showing results 1-20

All JobsAzure Databricks JobsRemote Azure Databricks JobsRemote Azure Databricks Jobs in Virginia

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 Virginia? The most popular types of Azure Databricks jobs in Virginia are:
What are popular job titles related to Remote Azure Databricks jobs in Virginia? For Remote Azure Databricks jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Azure Databricks jobs in Virginia look for? The top searched job categories for Remote Azure Databricks jobs in Virginia are:
What cities in Virginia are hiring for Remote Azure Databricks jobs? Cities in Virginia with the most Remote Azure Databricks job openings:
Remote Azure Databricks jobs near you

Sr Data & AI Engineer

Think Consulting

Virginia Beach, VA • On-site, Remote

$101K - $121K/yr

Other

Posted 28 days ago

Job description

a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; }

Experience Level: 8+ Years Location: Flexible / Hybrid / Remote (as applicable) About the Role

We are seeking a highly experienced Senior Data & AI Engineer to design, build, and scale modern data platforms and AI-driven solutions. This role sits at the intersection of data engineering, machine learning, and generative AI, with a strong focus on building reliable, production-ready systems that power analytics, intelligent applications, and LLM-based solutions.

You will work closely with data scientists, product teams, and business stakeholders to deliver high-impact data and AI capabilities on cloud-native architectures.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and data platforms using modern data engineering and cloud-native tools.
  • Build and optimize data models, data warehouses, and lakehouse architectures to support analytics and AI workloads.
  • Develop and deploy machine learning and AI solutions, including LLM-powered applications and AI-driven analytics.
  • Integrate large language models (LLMs), including OpenAI models, into enterprise data and application workflows.
  • Implement structured output and orchestration frameworks (e.g., Pydantic, LangChain) to support reliable LLM pipelines.
  • Collaborate with data scientists to productionize ML models using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Develop and optimize SQL and Spark workloads on platforms such as Databricks.
  • Support data visualization and BI solutions using tools like Power BI and/or Tableau.
  • Apply best practices in CI/CD, version control (Git), automated testing, and agile software development.
  • Evaluate and implement best-fit data architecture patterns, including Data Lakes, Data Mesh, Data Warehouses, and Lakehouse architectures.
  • Ensure data quality, reliability, security, and governance across data and AI solutions.
  • Mentor junior engineers and contribute to technical standards and architectural decisions.
Required Qualifications
  • 8+ years of experience in data engineering, analytics engineering, or related technical roles.
  • Strong programming skills in Python, with hands-on experience using ML frameworks such as TensorFlow, PyTorch, and/or Scikit-learn.
  • Deep understanding of data modeling, data warehousing concepts, and large-scale data processing.
  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
  • Experience working with modern data platforms and warehouses, including Databricks.
  • Proven experience building solutions using LLMs and generative AI, particularly with OpenAI APIs.
  • Solid understanding of modern data architecture patterns (Data Lake, Data Mesh, Data Warehouse, Lakehouse).
  • Experience with BI and data visualization tools such as Power BI and/or Tableau.
  • Familiarity with structured output tooling and LLM orchestration frameworks (e.g., Pydantic, LangChain).
  • Experience with CI/CD pipelines, Git-based version control, and agile development practices.
Preferred Qualifications
  • Experience with Spark, Delta Lake, or similar distributed data processing technologies.
  • Knowledge of MLOps practices and tools for model deployment and monitoring.
  • Exposure to real-time or streaming data architectures.
  • Strong communication skills and experience working with cross-functional teams.
What We Offer
  • Opportunity to work on cutting-edge data and generative AI initiatives.
  • Influence over technical architecture and platform direction.
  • Collaborative, growth-oriented engineering culture.
  • Competitive compensation and benefits package.


Equal Opportunity Employer, including disability and protected veteran status

Apply