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Databricks Engineer Jobs in Aldie, VA (NOW HIRING)

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

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 ...

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

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 ...

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

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 ...

Azure/Databricks Infrastructure Engineer

Mclean, VA · On-site

$56.25 - $75.25/hr

As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data ...

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/yr

Overview We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking for more than ...

Overview We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking for more than ...

P-1366 About Databricks At Databricks, we are passionate about enabling data teams to solve the ... Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical ...

Overview We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking for ...

Overview We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking for ...

Senior Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $165K/yr

Overview We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking for ...

Data Engineer - AWS/Databricks

Reston, VA · On-site

$120K - $150K/yr

This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise ...

Data Engineer - AWS/Databricks

Reston, VA · On-site +1

$120K - $150K/yr

This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise ...

This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise ...

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Databricks Engineer information

See Aldie, VA salary details

$58.7K

$110.2K

$200.4K

How much do databricks engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for databricks engineer in Aldie, VA is $110,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in Aldie, VA?

For Databricks Engineer jobs in Aldie, VA, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Aldie, VA look for?

The top searched job categories for Databricks Engineer jobs in Aldie, VA are:

What cities near Aldie, VA are hiring for Databricks Engineer jobs?

Cities near Aldie, VA with the most Databricks Engineer job openings:

Infographic showing various Databricks Engineer job openings in Aldie, VA as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $110,215 per year, or $53 per hour.

Databricks Engineer with Security Clearance

Dulles, VA • On-site

Blu Omega LLC
IT Services • 51 - 200 employees

$80K - $110K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Databricks Engineer Remote Blu Omega is seeking a Databricks Engineer to support a federal program focused on data analytics and mission-critical government operations. This role operates within a remote environment and is responsible for designing, building, and operating scalable data solutions. The position requires experience supporting data engineering, analytics, and cloud-based data platforms. Key Details Location: Remote Clearance: Ability to obtain and maintain a Public Trust or Suitability/Fitness determination Responsibilities * Design, develop, and maintain scalable Databricks data pipelines using PySpark, Spark SQL, Delta Lake, and Unity Catalog to deliver high-quality, mission-critical data assets * Build and maintain automated ingestion, transformation, and processing workflows supporting analytics, reporting, and operational decision-making * Operate and optimize Databricks clusters, jobs, and workflows ensuring reliability, performance, and cost efficiency * Integrate Databricks with enterprise CI/CD pipelines and SDLC tooling for automated deployments, source control, and testing * Implement data quality, validation, and observability frameworks to enhance data accuracy and trustworthiness * Monitor and troubleshoot data pipelines, platform performance, and production workloads to identify and resolve issues proactively * Collaborate with stakeholders and cross-functional teams to translate operational requirements into technical solutions * Develop and maintain technical documentation related to data pipelines, architecture, and operational processes Required Qualifications * 3+ years of experience in data engineering, analytics, or related technical roles * 2+ years of hands-on experience with the Databricks platform * Strong experience developing data solutions using PySpark and Spark SQL * Experience working with Databricks clusters, jobs, workflows, Delta Lake, and Unity Catalog in production environments * Experience designing and maintaining automated data pipelines and transformation workflows * Experience integrating Databricks with CI/CD pipelines and enterprise SDLC tooling * Working knowledge of Python for data engineering, automation, and ML workflows * Knowledge of cloud platforms such as AWS, Microsoft Azure, or GCP and associated data services * Understanding of data quality, validation, monitoring, and production support practices * Strong analytical and troubleshooting skills * Effective collaboration skills with technical and non-technical teams * Ability to obtain and maintain a Public Trust or Suitability/Fitness determination * Bachelor's degree in computer science, data science, engineering, or related field Preferred Qualifications * Experience supporting federal government or regulated industries * Experience developing or operationalizing machine learning solutions within Databricks * Experience with MLflow for machine learning lifecycle management * Knowledge of streaming frameworks, real-time data processing, and observability tooling * Experience implementing data governance, lineage, and access control practices * Databricks certification or cloud platform certification from AWS, Azure, or GCP Compensation Salary Range: $80,000.00 - $110,000.00 Final compensation is based on technical skills, experience, education, certifications, and clearance. Blu Omega Benefits & Perks * Medical, Dental, and Vision coverage through national providers * 401(k) with company match (eligible after 6 months; vesting applies) * Company-paid Life and AD&D insurance with additional voluntary options * Short-term and long-term disability options * Employee Assistance Program (EAP) with 24/7 confidential support and mental health resources * Telehealth and virtual care options * Pet insurance, legal services, and identity theft protection options * Paid Time Off (PTO) for eligible employees * Paid federal holidays for salaried employees * Access to wellness programs, discounts, and lifestyle benefits * Benefits availability may vary based on role and employment status Company Overview Blu Omega is a Woman-Owned Small Business (WOSB) providing technology and cybersecurity solutions to federal agencies and enterprise clients nationwide. Headquartered in Ashburn, VA, we support mission-critical programs across civilian and defense sectors, including health, national security, and regulatory environments. We partner with government agencies and large integrators to deliver expertise in data modernization, cybersecurity operations, cloud and infrastructure modernization, and enterprise IT support, supporting task orders and programs that require cleared personnel and compliant delivery. Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. #CJ #LI-Remote