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Senior Databricks Developer Jobs in Virginia (NOW HIRING)

Senior Databricks Engineer

Mclean, VA · On-site

$107K - $147K/yr

Vienna, VA (Onsite) We are seeking an experienced Senior Databricks Engineer to design, develop ... Knowledge of CI/CD, Git, Azure DevOps, or Jenkins. * Experience with workflow orchestration tools ...

We are seeking a highly skilled Senior Databricks Platform Engineer to design, implement, and ... Must hold a certification such as Databricks Certified Developer or Databricks Certified ...

ECS is seeking a Senior Databricks Migration Engineer to work onsite for the US Postal Services' Inspector General's Office (OIG) at our Arlington, VA office. This role leads technical data migration ...

Sr Databricks Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud ...

Sr Databricks Data Engineer

Rosslyn, VA · On-site

$130K - $156K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud ...

Data Engineer (Databricks)

Reston, VA · On-site

$119K - $143K/yr

... Senior Databricks SME who is passionate about turning complex data into actionable solutions that ... and DevOps practices using Terraform for IaC. * Emergency management domain knowledge a plus

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Senior Databricks Developer information

What are the most commonly searched types of Databricks Developer jobs in Virginia? The most popular types of Databricks Developer jobs in Virginia are:
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Infographic showing various Senior Databricks Developer job openings in Virginia as of July 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Senior Databricks Engineer

eSolutionsFirst, LLC

Mclean, VA • On-site

$107K - $147K/yr

Other

Posted 5 days ago


Job description

Job Title: Databricks Engineer

Employment Type: Full Time

Location: Vienna, VA (Onsite)

Job Description

We are seeking an experienced Senior Databricks Engineer to design, develop, and optimize enterprise-scale data platforms on Databricks. The ideal candidate will have strong expertise in building scalable data pipelines, cloud data engineering, and modern Lakehouse architectures. This role requires working closely with data architects, analytics teams, and business stakeholders to deliver high-performance data solutions.

Required Skills

  • 7+ years of experience in Data Engineering.
  • 3+ years of hands-on experience with Databricks.
  • Strong experience with Apache Spark (PySpark/Scala/Spark SQL).
  • Experience building ETL/ELT pipelines using Databricks.
  • Strong knowledge of Delta Lake, Unity Catalog, and Lakehouse architecture.
  • Experience with Azure Databricks (preferred) or AWS Databricks.
  • Strong SQL programming skills.
  • Experience with Python and/or Scala.
  • Experience with cloud storage technologies (ADLS, S3, Azure Blob).
  • Knowledge of CI/CD, Git, Azure DevOps, or Jenkins.
  • Experience with workflow orchestration tools such as Airflow or Databricks Workflows.
  • Understanding of data modeling, performance tuning, and optimization.
  • Experience with streaming technologies is a plus (Kafka, Structured Streaming).
  • Strong communication and stakeholder management skills.

Preferred Qualifications

  • Azure Data Engineer or Databricks certifications.
  • Experience with Snowflake, Azure Synapse, or Microsoft Fabric.
  • Experience implementing data governance and security best practices.
  • Financial Services or Federal domain experience is a plus.

Responsibilities

  • Design and develop scalable data pipelines using Databricks.
  • Build and optimize Spark applications for large-scale data processing.
  • Develop ETL/ELT workflows using PySpark and SQL.
  • Implement Delta Lake best practices for data quality and performance.
  • Collaborate with architects and business teams to define data solutions.
  • Optimize Databricks clusters, jobs, and notebooks.
  • Implement CI/CD pipelines and DevOps best practices.
  • Monitor production workloads and troubleshoot performance issues.
  • Ensure data security, governance, and compliance standards are met.
  • Document technical solutions and mentor junior engineers.