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Senior Databricks Data Engineer Jobs in Sandston, VA

Data Engineer

Fort Gregg Adams, VA ยท On-site

$80K - $90K/yr

This is a hands-on role for an early-career engineer with a solid foundation in Python, SQL, and ... Experience with Palantir Foundry, Databricks, or another enterprise data platform. * Experience ...

Data Engineer II

Richmond, VA ยท On-site

$113K - $136K/yr

Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data ... Databricks, or Amazon Redshift * 1+ years of experience with version control and continuous ...

Data Engineer II

Richmond, VA

$113K - $136K/yr

Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data ... Databricks, or Amazon Redshift * 1+ years of experience with version control and continuous ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Palantir Foundry Data Engineer

Richmond, VA ยท On-site

$113K - $136K/yr

Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data ... Databricks, or Amazon Redshift * 1+ years of experience with version control and continuous ...

Senior Data Engineer/Architect

Richmond, VA ยท On-site

$61.75 - $82.75/hr

Senior Data Engineer/Architect Our client, a forward thinking insurance company, is seeking a talented Senior Data Engineer/Architect to join their team, hit the ground running, and help drive to ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Showing results 41-60

Senior Databricks Data Engineer information

See Sandston, VA salary details

$58.2K

$123.8K

$179.6K

How much do senior databricks data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior databricks data engineer in Sandston, VA is $123,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $140,400.00 per year, depending on experience, location, and employer.

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

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

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.

What are the most commonly searched types of Databricks Data Engineer jobs in Sandston, VA?

The most popular types of Databricks Data Engineer jobs in Sandston, VA are:

What job categories do people searching Senior Databricks Data Engineer jobs in Sandston, VA look for?

The top searched job categories for Senior Databricks Data Engineer jobs in Sandston, VA are:

What cities near Sandston, VA are hiring for Senior Databricks Data Engineer jobs?

Cities near Sandston, VA with the most Senior Databricks Data Engineer job openings:

Infographic showing various Senior Databricks Data Engineer job openings in Sandston, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,850 per year, or $59.5 per hour.

Data Engineer

LMI

Fort Gregg Adams, VA โ€ข On-site

$80K - $90K/yr

Full-time

Posted 9 days ago


Job description

Overview

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors, helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

**This role is onsite at Fort Lee (VA)

Responsibilities

LMI is seeking an Associate Data Engineer to support the U.S. Army Combined Arms Support Command at Fort Lee, Virginia. You will help build and maintain the data pipelines and trusted data products used to support the Army Quartermaster Corp, sustainment, and operational decision-making.

This is a hands-on role for an early-career engineer with a solid foundation in Python, SQL, and data integration.

  • Build, test, and maintain data pipelines.
  • Collect, transform, and integrate data from databases, files, APIs, and enterprise systems.
  • Develop Python and SQL code used in data-processing and integration workflows.
  • Perform data profiling, validation, and quality checks.
  • Help document data sources, transformations, lineage, and technical processes.
  • Investigate pipeline failures and data-quality issues.
  • Support the development of trusted data products for reporting, analysis, and Army decision-making.
  • Use source control, automated testing, and established engineering practices.
  • Work with Army stakeholders to understand data requirements.
  • Participate in code reviews and contribute to reusable engineering patterns.
Qualifications

Minimum Qualifications:

  • Bachelor's degree in computer science, data science, engineering, information systems, mathematics, or a related field, or equivalent practical experience.
  • One or more years of relevant data, software, or analytics engineering experience. Relevant internships, military experience, and substantial academic projects may be considered.
  • Working knowledge of Python and SQL.
  • Understanding of relational databases, data structures, and data-transformation concepts.
  • Experience building or supporting ETL or ELT workflows.
  • Familiarity with Git or another source-control system.
  • Ability to communicate technical issues clearly and work effectively within a multidisciplinary team.
  • The ability to obtain and maintain a DoD Secret clearance is required. Please note, only US Citizens can obtain a clearance.
  • Ability to work onsite at Fort Lee, Virginia.

Preferred Qualifications:

  • Active DoD Secret clearance.
  • Experience supporting the U.S. Army or another Department of Defense organization.
  • Familiarity with Army logistics, sustainment, readiness, supply chain, or maintenance data.
  • Experience with Palantir Foundry, Databricks, or another enterprise data platform.
  • Experience with cloud data services in AWS or Azure.
  • Familiarity with data-quality, lineage, orchestration, or monitoring tools.
  • Experience using automated testing or continuous-integration practices.
  • Relevant technical certification or military occupational experience.

#LI-SH1

Target salary range: $80,375 - $90,604. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

ย Job LocationsUS-VA-Fort Gregg-AdamsEmployment Type: FULL_TIME