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Associate Azure Databricks Jobs in Ashburn, VA (NOW HIRING)

Berkley

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

... Associate or Professional is a plus. Skills & Competencies * Proficient in designing, building, deploying, and maintaining high-performance, scalable ETL/ELT pipelines using Azure Databricks, Delta ...

Berkley

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

... Associate or Professional is a plus. Skills & Competencies * Proficient in designing, building, deploying, and maintaining high-performance, scalable ETL/ELT pipelines using Azure Databricks, Delta ...

Berkley

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

... Associate or Professional is a plus. Skills & Competencies * Proficient in designing, building, deploying, and maintaining high-performance, scalable ETL/ELT pipelines using Azure Databricks, Delta ...

SiloSmashers

Testing not a real job

Alexandria, VA · On-site

Azure AI Engineer Associate / AI-102), plus hands-on production experience with Azure ML, Azure Databricks, or AKS. * Solid understanding of the full ML lifecycle: data preparation, training ...

Quantum Vision

Data Architect

Vienna, VA · On-site

$64 - $82.25/hr

... • Databricks Data Engineer Associate/Professional • Power BI Data Analyst Associate • Azure Enterprise Data Analyst Associate Responsibilities: • Lead analytics projects independently to ...

Deloitte

Databricks Engineering Consultant

Rosslyn, VA · On-site

... Azure, or Google Cloud Platform (GCP) * Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve. Preferred: * Databricks Data Engineer Associate ...

Deloitte

Databricks Engineering Consultant

Arlington, VA · On-site

... Azure, or Google Cloud Platform (GCP) * Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve. Preferred: * Databricks Data Engineer Associate ...

Guidehouse

Databricks Engineer

Arlington, VA

Databricks Data Engineer Associate/Professional Certification. * Experience with streaming frameworks (e.g., Kafka, Event Hub). * Experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions)

Guidehouse

Databricks Engineer

Arlington, VA · On-site

Databricks Data Engineer Associate/Professional Certification. * Experience with streaming frameworks (e.g., Kafka, Event Hub). * Experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions)

Georgia IT, Inc.

Azure DevOps Engineer - Vienna, VA

Vienna, VA · On-site

$53 - $72.50/hr

... Databricks, Data Factory, DataLake, CosmosDB, Function apps, SQL • 3-5 years' Experience with ... Azure Solutions Architect Expert or Azure DevOps Engineer Expert or Azure Developer Associate ...

eSolutionsFirst, LLC

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

The ideal candidate will have strong expertise in SQL, Azure Data Services, and Databricks, with ... Azure Data Engineer Associate (DP-203) or related cloud certifications preferred.

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All JobsAssociate Azure Databricks JobsAssociate Azure Databricks Jobs in Ashburn, VA

Associate Azure Databricks information

See Ashburn, VA salary details

$47K

$110.6K

$176.4K

How much do associate azure databricks jobs pay per year?

As of Jul 27, 2026, the average yearly pay for associate azure databricks in Ashburn, VA is $110,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,800.00 and $132,900.00 per year, depending on experience, location, and employer.

What is an Associate Azure Databricks?

An Associate Azure Databricks is a professional who works with the Azure Databricks platform, which is a cloud-based analytics service designed for big data and machine learning. Individuals in this role typically assist in building, managing, and optimizing data pipelines and analytics solutions using Apache Spark on Azure. They often support data engineering and data science teams by preparing data, managing clusters, and ensuring smooth data workflows. This position is ideal for those who have foundational knowledge of cloud computing, data engineering, and analytics.

What are some typical challenges faced by an Associate Azure Databricks, and how can newcomers prepare for them?

As an Associate Azure Databricks, you may encounter challenges such as integrating Databricks with existing data infrastructure, managing large-scale data pipelines, and optimizing Spark workloads for performance and cost. Newcomers can prepare by familiarizing themselves with Spark fundamentals, Azure services, and best practices in data engineering. Collaborating closely with data engineers, architects, and analysts is also key to understanding business requirements and ensuring seamless data workflows.

What are the key skills and qualifications needed to thrive as an Associate Azure Databricks, and why are they important?

To thrive as an Associate Azure Databricks, you need a solid understanding of data engineering fundamentals, cloud computing, and proficiency in SQL, Python, or Scala, often supported by a relevant degree or certification. Familiarity with Azure cloud services, Databricks platform tools, and data integration systems like Apache Spark is typically required. Strong problem-solving, communication, and teamwork skills help you collaborate effectively with data scientists and business stakeholders. These skills are crucial for efficiently managing data workflows, ensuring data quality, and delivering actionable insights in a cloud-based analytics environment.

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

AspectAssociate Azure DatabricksData Engineer
Required CertificationsAzure Data Engineer Associate, Databricks certificationsAzure Data Engineer, cloud platform certifications
Work EnvironmentCollaborates with data scientists and analysts on cloud platformsBuilds and maintains data pipelines and infrastructure
Industry UsageUsed in analytics, AI, and data science projects within cloud environmentsUsed across industries for data integration, ETL, and big data processing

The Associate Azure Databricks role focuses on supporting data analytics and machine learning projects using Databricks on Azure, often working under supervision. In contrast, Data Engineers design and develop data pipelines and infrastructure, with a broader scope in data management. Both roles require similar certifications and work in cloud-based environments, but their responsibilities differ in scope and focus.

What are the most commonly searched types of Azure Databricks jobs in Ashburn, VA? The most popular types of Azure Databricks jobs in Ashburn, VA are:
What are popular job titles related to Associate Azure Databricks jobs in Ashburn, VA? For Associate Azure Databricks jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Associate Azure Databricks jobs in Ashburn, VA look for? The top searched job categories for Associate Azure Databricks jobs in Ashburn, VA are:
Associate Azure Databricks jobs near you
Infographic showing various Associate Azure Databricks job openings in Ashburn, VA as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $110,605 per year, or $53.2 per hour.
Databricks Data Engineer

Databricks Data Engineer

Berkley

Manassas, VA • On-site

$114K - $137K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

Company Details
We started in early 2019 as a small group of technologists with a passion for making insurance better. Today we are working with a team of industry experts who run five different insurance brands and collectively control $1 billion in annual premiums.
We believe in an idea and execution meritocracy. In other words, a place where the best ideas win and the people who deliver the most value get the most opportunities.
As we grow our team, we are looking for inquisitive, entrepreneurial people who are excited to reimagine the insurance industry.
Insurance is too complex. Help us make it better.
Responsibilities
This position requires on-site work Monday-Thursday at either our Manassas, VA or Chesterfield, MO location.
The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production grade data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision advantage at scale. This role will work with cutting-edge tools like Databricks, Delta Lake, PySpark, and AI/BI genie to transform raw data into actionable insights. As a hands-on Databricks Data Engineer with deep expertise in Azure Databricks and MLOps, this role will have the opportunity to migrate and translate legacy SSIS ETL logic into scalable, cloud-native data pipelines in Databricks. This role will partner with data engineers, data scientists, and product manager to design features, train/evaluate models, and deploy them to production using MLflow, Databricks and Workflows-with rigorous observability, governance (Unity Catalog), and CI/CD automation.
Data Pipeline Engineering
  • Design, build, and maintain high-performance, scalable ETL/ELT pipelines using Azure Databricks, Delta Lake, and PySpark.
  • Convert and modernize existing SSIS package logic into cloud-native Databricks pipelines using PySpark notebooks, Delta Live Tables (DLT), and Databricks Workflows.
  • Implement reliable batch and streaming pipelines with robust data quality and validation frameworks.
  • Optimize pipeline performance using Photon, efficient file formats, partitioning, Z-ordering, and caching strategies.

Lakehouse Platform Development
  • Develop and manage datasets within Delta Lake, ensuring ACID reliability, schema evolution, versioning, and time travel.
  • Architect feature-rich data layers including:
    • Bronze (raw ingestion)
    • Silver (validated, conformed)
    • Gold (analytics-ready and ML-ready)
  • Implement data governance using Unity Catalog for fine-grained access control, lineage, auditability, and metadata management.

MLOps & ML-Enabled Data Pipelines
  • Partner with data scientists and data engineers to create feature pipelines, model training pipelines, and production scoring pipelines.
  • Deploy and operationalize models using MLflow, Databricks Model Registry, and Databricks Workflows.
  • Use Databricks built-in AI SQL functions such as ai_query, ai_forecast, ai_analyze_sentiment to generate actionable insight from large amount of unstructured or structured raw data
  • Implement monitoring for:
    • Pipeline failures
    • Data/feature drift
    • Model performance degradation
    • Operational SLAs/SLIs/SLOs
  • Build automated CI/CD workflows using GitHub Actions or Azure DevOps for notebook deployment, pipeline testing, and environment promotion.

Data Platform, Data Security & Data Governance
  • Collaborate with data engineers to design reliable data products on Delta Lake; leverage Delta Live Tables (DLT) for declarative pipelines when applicable.
  • Enforce Unity Catalog for lineage, permissions, and audit; manage secrets, tokens, and keys securely (e.g., Databricks secrets, Key Vault/Secrets Manager).

Collaboration & Leadership
  • Work closely with cross-functional teams: data engineering, data scientist, product manager, and business stakeholders.
  • Serve as a Databricks SME-championing best practices, code standards, governance, and reusable frameworks.
  • Document architecture, workflows, data models, runbooks, and operational procedures.

Qualifications
  • Minimum of 3 years of experience in Databricks, PySpark notebooks, Python, DevOps, software development, and data engineering.
  • Certified Databricks Data Engineer Associate or Professional is a plus.

Skills & Competencies
  • Proficient in designing, building, deploying, and maintaining high-performance, scalable ETL/ELT pipelines using Azure Databricks, Delta Lake, and PySpark Notebook.
  • Proficient in building, deploying, and operating production ML models such as supervised, unsupervised, and anomaly detection, including techniques for imbalanced datasets
  • Proficient with ML engineering and MLOps, including model versioning, CI/CD for ML, monitoring, drift detection, and automated retraining
  • Proficiency in Python including Pandas and PySpark Dataframes
  • Expert level of SQL skills including Stored Procedure, experience with SSIS, SSRS, Power BI is a plus.
  • Proficient with cloud data engineering platforms, such as Azure, Databricks, Spark, or SQL, and batch and streaming pipelines
  • Familiar with Databricks AI Built-In Functions such as AI_Query, AI_Gen, AI_Classify, AI_Forecast, AI_Analyze_Sentiment, able to use them to extract actionable insights from large amount of unstructured or structured raw data
  • Experience with Python and ML frameworks, such as PyTorch or TensorFlow
  • Experience improving data quality, lineage, and observability in enterprise data environments and operationalizing rules and model-driven scoring for prioritization, routing, or case selection
  • Experience with predictive analytics, machine learning and artificial intelligence desired.

Education
  • A Bachelor's degree in Computer Science, Management Information Systems, Engineering, Math, Physics, or a related quantitative field is required (4-year degree). Master's degree preferred
  • Experience in the commercial insurance industry is a plus.

Additional Company Details
The Company is an equal employment opportunity employer.
We do not accept any unsolicited resumes from external recruiting firms.
The company offers a competitive compensation plan and robust benefits package for full time regular employees.
Base salary & Benefits include Health, dental, vision, life, disability, wellness, paid time off, 401(k) and profit-sharing plans.
-Salary Range: $110k- $140k
The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.
Additional Requirements
• Ability to travel locally and nationally up to 5% of the time
Sponsorship Details
Sponsorship not Offered for this Role

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