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Data Engineer Data Bricks Jobs in Reston, VA (NOW HIRING)

ECS

Data Engineer - Journeyman

Fairfax, VA · On-site

$113K - $136K/yr

Position Summary ECS is seeking a Data Engineer - Journeyman to support the Army National Guard (ARNG) Enterprise Network Operations and Cybersecurity Support (ENOCS) program. In this role, the ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Arlington, VA · Hybrid

$62K - $141K/yr

Data Engineer The Opportunity: Everyone is trying to "harness the cloud," but not everyone knows how. As a cloud computing application architect, you know how to create a cloud-based technical ...

GRVTY

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute ...

GRVTY

Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$129K - $155K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data ...

Clarity Innovations

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare ...

Berkley

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 ...

Berkley

Databricks Data Engineer

Manassas, VA

$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 ...

Berkley

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 ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site

$129K - $155K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise, ensuring data availability ...

SAIC

AI Data Engineer

Fort Belvoir, VA · Remote

$129K - $155K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data ...

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All JobsData Engineer Data Bricks JobsData Engineer Data Bricks Jobs in Reston, VA

Data Engineer Data Bricks information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do data engineer data bricks jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data engineer data bricks in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What are Data Engineer Data Bricks?

A Data Engineer specializing in Databricks is a professional who designs, builds, and maintains data pipelines and infrastructure using the Databricks platform. Databricks is a cloud-based data analytics platform that facilitates big data processing, machine learning, and collaborative analytics. Data Engineers use Databricks to process large datasets, automate data workflows, and support data-driven decision-making for organizations. Their responsibilities often include cleaning and transforming data, optimizing data storage, and ensuring efficient data movement across systems.

What is the difference between Data Engineer Data Bricks vs Data Engineer Apache Spark?

AspectData Engineer Data BricksData Engineer Apache Spark
CredentialsTypically requires cloud platform certifications (Azure, AWS), Spark knowledge, and data engineering skillsRequires Spark expertise, programming skills, and often similar cloud certifications
Work EnvironmentCloud-based platforms with integrated tools, collaborative environment, managed servicesOn-premises or cloud, more manual setup, flexible environment
Industry UsagePopular in cloud-centric companies, data lakes, and analytics platformsWidely used across industries for big data processing, on-premises or cloud

Data Engineer Data Bricks focuses on cloud-based, managed Spark environments with integrated tools, while Data Engineer Apache Spark emphasizes core Spark skills applicable in various environments. Both roles require similar technical knowledge but differ mainly in platform and deployment context.

What are the key skills and qualifications needed to thrive as a Data Engineer specializing in Databricks, and why are they important?

To thrive as a Data Engineer specializing in Databricks, you need strong expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, SQL, cloud platforms (like AWS or Azure), and relevant certifications (such as Databricks Certified Data Engineer) is typically required. Strong analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams and translating business needs into data solutions. These skills ensure efficient data pipeline development, reliable data management, and impactful analytics in data-driven organizations.

What are some common challenges Data Engineers face when working with Databricks, and how can they be addressed?

Data Engineers working with Databricks often encounter challenges related to optimizing large-scale data pipelines, managing cluster resources efficiently, and ensuring seamless data integration across varied sources. Addressing these issues typically involves staying current with Databricks best practices, such as implementing Delta Lake for reliable data storage, using job scheduling to automate workflows, and proactively monitoring cluster performance. Collaborating closely with data scientists and analysts is also crucial to align data models and streamline the analytics process.
What are popular job titles related to Data Engineer Data Bricks jobs in Reston, VA? For Data Engineer Data Bricks jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Bricks jobs in Reston, VA look for? The top searched job categories for Data Engineer Data Bricks jobs in Reston, VA are:
Data Engineer Data Bricks jobs near you
Data Engineer - Journeyman

Data Engineer - Journeyman

ECS

Fairfax, VA • On-site

$113K - $136K/yr

Full-time

Posted 8 days ago

Job description

Position Summary
ECS is seeking a Data Engineer - Journeyman to support the Army National Guard (ARNG) Enterprise Network Operations and Cybersecurity Support (ENOCS) program. In this role, the selected candidate will support Task 3, Cybersecurity Operations Support, by engineering data integration solutions that enable reliable ingestion, parsing, and transformation of cybersecurity telemetry across SOC, CDAP, and analytic platforms. The Data Engineer will work closely with analytic developers, security engineers, and cybersecurity operations personnel to improve data quality, resolve ingestion discrepancies, and sustain the data pipelines that support continuous monitoring, threat detection, and Defensive Cyberspace Operations - Internal Defensive Measures (DCO-IDM) across the DoDIN-Army-NG area of responsibility.
Please Note: This position is contingent upon contract award.
This position directly supports ARNG's mission to deliver secure enterprise operations for more than 120,000 users and approximately 141,000 endpoints across about 2,800 sites in 54 states and territories, including Title 10 and Title 32 missions, mobilization readiness, domestic emergency response, and classified SIPRNet operations. The role operates within a cybersecurity environment that includes the Security Operations Center (SOC), Unified Security Information & Event Management (USIEM), Endpoint Detection and Response (EDR), C2C and DLP analytics, and data sources such as Zeek metadata and Sysmon-based monitoring, while coordinating with broader cyber operations aligned to NETCOM Global Cyber Center and DISA DCDC.
Responsibilities
  • Engineer data integration solutions that support the ingestion, parsing, normalization, and transformation of cybersecurity telemetry across SOC, CDAP, and analytic platforms.
  • Implement schema management and data validation routines to improve the accuracy, traceability, and reliability of cybersecurity reporting and monitoring outputs.
  • Optimize data pipeline performance to support scalable analytics and continuous monitoring across ARNG classified and unclassified network environments.
  • Collaborate with analytic developers and security engineers to improve data quality, troubleshoot ingestion discrepancies, and sustain visibility for cyber defense operations.
  • Support SOC monitoring and analysis by enabling high-quality data feeds for USIEM analytics, including correlation of events from integrated SIEM, C2C, and DLP data sources.
  • Help maintain telemetry pipelines that leverage sources identified in the ENOCS environment, including Zeek metadata and Sysmon-based monitoring aligned to MITRE ATT&CK-informed analytics.
  • Contribute to the data foundation used for threat detection, incident analysis, and reporting supporting 24x7x365 cybersecurity operations across the DoDIN-Army-NG area of responsibility.
  • Coordinate with cybersecurity operations stakeholders to ensure data integration supports DCO-IDM activities and aligns with ARNG and DoD cybersecurity policy.
  • Support continuous monitoring visibility and reporting used by cyber operations teams working in coordination with NETCOM Global Cyber Center and DISA DCDC.

Required Qualifications
U.S. Citizenship is required
Security Clearance: Secret Eligible
Required Certifications: DCWF Work Role 511-Cyber Defense Analyst - Basic proficiency; must hold ONE OR MORE of the following: CC, CEH, GFACT, GISF
Experience: 3+ years of experience in cybersecurity
  • Experience engineering or supporting data ingestion, parsing, and transformation workflows for cybersecurity telemetry.
  • Experience implementing data validation, schema management, and data quality controls to improve accuracy and reliability of analytic outputs.
  • Experience working with security analysts, analytic developers, or security engineers to resolve data discrepancies and improve continuous monitoring visibility.
  • Ability to support data integration requirements for SOC or cyber defense operations in classified and unclassified environments.
  • Experience supporting reporting or analytics in environments using SIEM-centric monitoring and correlated security data feeds.
  • Ability to document data integration issues, support remediation efforts, and maintain traceability of cybersecurity data artifacts.

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