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Manager Databricks Data Engineer Jobs in Alexandria, VA

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

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 ...

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

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 ...

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

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 ...

Work you'll do As a Lead Data Engineer II in our AI & Data practice, you will leverage your ... entire Databricks platform. * Client Relationship Management: Build and maintain strong ...

Data Engineer

Arlington, VA

$131K - $158K/yr

540 is seeking a Data Engineer to support a mission-critical technology modernization effort for ... Develop and manage Databricks notebooks, jobs, workflows, clusters, and compute resources

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

540 is seeking a Data Engineer to support a mission-critical technology modernization effort for ... Develop and manage Databricks notebooks, jobs, workflows, clusters, and compute resources

Data Engineer

Arlington, VA

$131K - $158K/yr

540 is seeking a Data Engineer to support a mission-critical technology modernization effort for ... Develop and manage Databricks notebooks, jobs, workflows, clusters, and compute resources

We are looking for seasoned Data Engineer to work with our team and our clients to develop ... Data pipeline and workflow management tools: Databricks Workflows, Airflow, Step Functions, etc.

We are looking for seasoned Data Engineer to work with our team and our clients to develop ... Data pipeline and workflow management tools: Databricks Workflows, Airflow, Step Functions, etc.

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

... Management. The work we do effects millions of U.S. citizens daily as they interact with the ... Cloud Data Platform & Databricks Implementation: Build, optimize, and maintain data processing ...

Data Engineer (Databricks)

Washington, DC · On-site

$129K - $155K/yr

Data Engineer - Databricks Location: Washington, DC Metro Area Duration: Long-Term Full-Time (W2) (Does not require Sponsorship) How the role works * Weeks 1-10: full-time paid Databricks training ...

Databricks Solutions Architect

Mclean, VA · On-site

$66.50 - $87.25/hr

... data management practices. * Support migration and modernization of legacy data platforms to Databricks Lakehouse. * Implement CI/CD and DevOps practices for Databricks deployments. * Partner with ...

New

Data Engineer - Databricks

Mclean, VA · On-site

$110K - $160K/yr

Data pipeline and workflow management tools: Databricks Workflows, Airflow, Step Functions, etc ... Experience supporting project teams of developers and data scientists who build web-based ...

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/yr

Data pipeline and workflow management tools: Databricks Workflows, Airflow, Step Functions, etc ... Experience supporting project teams of developers and data scientists who build web-based ...

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/yr

Data pipeline and workflow management tools: Databricks Workflows, Airflow, Step Functions, etc ... Experience supporting project teams of developers and data scientists who build web-based ...

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Manager Databricks Data Engineer information

See Alexandria, VA salary details

$47.6K

$138.8K

$190K

How much do manager databricks data engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for manager databricks data engineer in Alexandria, VA is $138,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,600.00 and $147,200.00 per year, depending on experience, location, and employer.

What is the difference between Manager Databricks Data Engineer vs Data Engineer?

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

How much does a Manager Databricks Data Engineer make?

A Manager Databricks Data Engineer typically earns between $120,000 and $160,000 annually, depending on experience, location, and company size. They often require strong skills in Spark, SQL, and cloud platforms like Azure or AWS, along with leadership responsibilities. Compensation may also include bonuses and stock options.

Is a Manager Databricks Data Engineer in demand?

Manager Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. They typically require expertise in Spark, SQL, and cloud environments, making their roles critical in data-driven organizations seeking scalable analytics solutions.

What are the most commonly searched types of Databricks Data Engineer jobs in Alexandria, VA?

The most popular types of Databricks Data Engineer jobs in Alexandria, VA are:

What are popular job titles related to Manager Databricks Data Engineer jobs in Alexandria, VA?

For Manager Databricks Data Engineer jobs in Alexandria, VA, the most frequently searched job titles are:

What job categories do people searching Manager Databricks Data Engineer jobs in Alexandria, VA look for?

The top searched job categories for Manager Databricks Data Engineer jobs in Alexandria, VA are:

What cities near Alexandria, VA are hiring for Manager Databricks Data Engineer jobs?

Cities near Alexandria, VA with the most Manager Databricks Data Engineer job openings:

Databricks Data Engineer

Berkley

Manassas, VA • On-site

$114K - $137K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 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