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

... Bricks or other data platforms. Required Qualifications: * Bachelor's degree in information technology or a related field. * 4+ years of experience in Data Engineering/Architecture, ETL with at least ...

... Bricks or other data platforms. Required Qualifications: * Bachelor's degree in information technology or a related field. * 4+ years of experience in Data Engineering/Architecture, ETL with at least ...

Data Engineer/Data ProjectLead (REMOTE)

Chantilly, VA · Remote

$117K - $140K/yr

The Data Engineer/Data Project Lead HQ may provide strategic direction, mentor junior project managers, and collaborate with executive stakeholders to achieve project goals. This role requiresa high ...

... Bricks, Snowflake, and Storage Accounts. • Experience working with a Data Engineering team and understanding of Data Engineering practices. • Ability to learn, understand, and work quickly with ...

Sr. Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

Jenkins, Snowflake, Databricks, AWS, Lead software engineer/data engineer with experience in popular data tools such as Databricks and Snowflake. Have the ability to read and understand code in Scala ...

Data Engineer

Herndon, VA · Remote

$117K - $140K/yr

Data Engineer Location: Remote, USA Clearance: Top-Secret Type: Full-time, W2 About VivSoft We are a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and ...

Data Engineer

Herndon, VA · On-site +1

$117K - $141K/yr

Data Engineer Location: Remote, USA Clearance: Top-Secret Type: Full-time, W2About VivSoft We are a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Data Engineer

Arlington, VA

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

Responsibilities As a Data Engineer , you will transform and deliver high-priority datasets to enable exploitation and analysis for the federal government's intelligence mission. Using computer ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Responsibilities As a Data Engineer , you will transform and deliver high-priority datasets to enable exploitation and analysis for the federal government's intelligence mission. Using computer ...

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

As a Data Engineer , you will transform and deliver high-priority datasets to enable exploitation and analysis for the federal government's intelligence mission. Using computer programming and other ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

They are seeking a Data Engineer to help build advanced technology solutions and implement data engineering activities for mission-driven projects. Responsibilities : • help our clients find ...

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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 - Fulltime - Arlington, VA - Fulltime

Rootshell Enterprise Technologies, Inc.

Arlington, VA • On-site

$131K - $158K/yr

Full-time

Posted 13 days ago


Job description

Position: Data Engineer with Azure and Data Bricks
Location: Arlington, VA (5 days on site)
Job Type: Full-Time
Need Locals
Top 3 Skills:
  • 8+ years of data engineering experience using Azure and Data Bricks
  • Experience building infrastructure and CI/CD pipelines
  • Experience working directly with the business to gather requirements

Job Description:
Position Responsibilities:
Key Responsibilities and Essential Duties:
  • Build complex data solutions in an Azure Cloud environment.
  • Maintain the Azure components and services.
  • Develop architecture changes using infrastructure as code.
  • Create data architectures diagrams for complex data modeling solutions.
  • Create and maintain data dictionaries for contextualizing data from disparate sources.
  • Enable end-to-end automation for deployment using continuous integration and continuous delivery.
  • Implement data pipelines to ingest data to the platform, standardize the data, and transform the data into business facing datasets.
  • Perform unit and integration testing of data pipelines.
  • Perform data integration at scale with Azure Data Factory.
  • Utilize Databricks to transform, curate, and organize data for use with business intelligence reporting and data analytics.
  • Work with BI developers and business SMEs to translate business requirements into curated datasets suitable for analytics solutions.
  • Document data pipelines for maintainability.
  • Work with source system owners and business owners to incorporate business changes into data pipelines.
  • Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization.
  • Assist in testing, governance, data quality, training, and documentation efforts.
  • Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.

Job Qualifications
  • Bachelor's degree in computer science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
  • 2+ years in cloud architecture and data engineering
  • Extensive experience in implementing data storage solutions, managing, and developing data processing, and optimizing data solutions (Azure)
  • Expertise in integrating, transforming, and consolidating data from structured and unstructured data systems suitable for analytics solutions.
  • Understanding of parallel processing and data architecture patterns.
  • Knowledgeable in data processing languages such as SQL, Python, or Spark.
  • Experience in building secure data processing pipelines using Azure data services.
  • Ability to self-manage and make your own decisions.
  • Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
  • Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment.
  • Excellent attention to detail and the ability to efficiently summarize and prioritize information.
  • Preferred Qualifications
  • Proficient in Microsoft Azure Storage Explorer, Azure DevOps, Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2, Azure DevOps, Unity Catalog and Git
  • Experience in coding languages primarily Python and Spark.
  • Experience in agile development and sprint planning.
  • Strong technical writing skills.