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Commission Databricks Data Engineer Jobs in Virginia

eSolutionsFirst, LLC

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

We are seeking a skilled Data Engineer with 5 7 years of experience to design, build, and maintain ... The ideal candidate will have strong expertise in SQL, Azure Data Services, and Databricks, with ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Engineer data pipelines that support fraud detection, compliance analytics, and predictive risk modeling across structured and unstructured data sources in Databricks * Develop and maintain end-to ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Engineer data pipelines that support fraud detection, compliance analytics, and predictive risk modeling across structured and unstructured data sources in Databricks * Develop and maintain end-to ...

Kanak Elite Services Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Python Pyspark node.js vue.js AWS EMR/Glue Lambda S3 SNS DynamoDB Databricks Description: Sr. Data Engineer Leads meetings with internal customers to determine data needs Requirements mapping and ...

Pwc

Data Engineer - Senior Manager

Richmond, VA · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Quantum Vision

Data Architect

Vienna, VA · On-site

$64 - $82.25/hr

The IT Engineer- Data's primary responsibilities will be to develop analytic solutions (Power BI/Databricks) to track, but not limited to, department and team goals, project status, and ongoing ...

Pwc

Data Engineer - Senior Associate

Richmond, VA · On-site

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

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All JobsDatabricks Data Engineer JobsCommission Databricks Data Engineer JobsCommission Databricks Data Engineer Jobs in Virginia

Commission Databricks Data Engineer information

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

AspectCommission Databricks Data EngineerCommission Data Engineer
CertificationsDatabricks certifications, cloud platform credentialsGeneral data engineering certifications, cloud platform credentials
Work EnvironmentPrimarily on Databricks platform, cloud-basedVarious cloud platforms, on-premises or cloud
Industry UsageTech, finance, healthcare with Databricks adoptionBroad industry, including finance, retail, healthcare

The Commission Databricks Data Engineer specializes in working with Databricks platform for data processing and analytics, often requiring Databricks-specific certifications. In contrast, the Commission Data Engineer has a broader scope, working across multiple platforms and environments. Both roles involve building data pipelines and managing data workflows, but the Databricks-focused role emphasizes expertise in Databricks tools and cloud integrations.

What are the most commonly searched types of Databricks Data Engineer jobs in Virginia? The most popular types of Databricks Data Engineer jobs in Virginia are:
Commission Databricks Data Engineer jobs near you
Infographic showing various Commission Databricks Data Engineer job openings in Virginia as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 79% In-person, and 21% Remote job distribution.
Data Engineer

Data Engineer

eSolutionsFirst, LLC

Mclean, VA • On-site

$117K - $141K/yr

Other

Posted 20 days ago

Job description

We are seeking a skilled Data Engineer with 5 7 years of experience to design, build, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will have strong expertise in SQL, Azure Data Services, and Databricks, with experience supporting analytics, reporting, and data-driven business initiatives. This role will collaborate closely with data analysts, software engineers, architects, and business stakeholders to deliver reliable, high-quality data solutions.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Azure and Databricks.
  • Build and optimize data ingestion processes from multiple structured and unstructured data sources.
  • Develop and maintain data models, data warehouses, and data marts to support business intelligence and analytics needs.
  • Write complex SQL queries, stored procedures, and performance-tuned data transformations.
  • Implement data quality, validation, and monitoring processes to ensure data accuracy and integrity.
  • Develop and maintain Databricks notebooks, workflows, and Spark-based data processing solutions.
  • Collaborate with business stakeholders, analysts, and engineering teams to gather requirements and deliver data solutions.
  • Optimize data pipelines for performance, scalability, and cost efficiency.
  • Support production deployments, troubleshoot data issues, and perform root cause analysis.
  • Create and maintain technical documentation, data lineage, and operational procedures.

Required Qualifications

  • 5 7 years of experience in Data Engineering, Data Warehousing, or related roles.
  • Strong SQL expertise including query optimization, performance tuning, indexing, and complex data transformations.
  • Hands-on experience with Azure Data Services including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure SQL Database, and Azure Synapse Analytics.
  • Strong experience with Databricks, Apache Spark, PySpark, and notebook development.
  • Experience building and maintaining ETL/ELT pipelines in cloud environments.
  • Proficiency in Python for data engineering and automation tasks.
  • Experience with dimensional modeling, star/snowflake schemas, and data warehousing concepts.
  • Knowledge of data governance, data quality, and metadata management practices.
  • Familiarity with Git-based source control and Agile development methodologies.
  • Strong analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications

  • Experience with Power BI or other reporting and visualization platforms.
  • Knowledge of Delta Lake, Lakehouse architecture, and real-time data processing.
  • Exposure to Azure DevOps, CI/CD pipelines, and Infrastructure-as-Code practices.
  • Experience working with large-scale enterprise datasets and distributed data processing.
  • Familiarity with data security, compliance, and access control best practices.
  • Azure Data Engineer Associate (DP-203) or related cloud certifications preferred.

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