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Databricks Admin Jobs in Virginia (NOW HIRING)

Senior Data Engineer

Richmond, VA · On-site

$104K - $142K/yr

... A teams to deliver production systems Contribute to technical design decisions and mentor other ... Production-scale expertise with Databricks (Delta Lake, Unity Catalog, Delta Live Tables ...

Oversee a strategic partner vendor team handling 24/7 Oracle DBA operations and production support ... Deep, practical experience managing workloads inside Snowflake, Databricks, and Google Cloud ...

... administrators, and IT support staff Ensure compliance with quality and security guidelines ... Prior experience with AWS or Azure services such as Databricks, Data Factory, and Data Lake

Oversee a strategic partner vendor team handling 24/7 Oracle DBA operations and production support ... Deep, practical experience managing workloads inside Snowflake, Databricks, and Google Cloud ...

Database Developer

Ashburn, VA · Hybrid

$100K - $125K/yr

The Database Developer will work with a team of database developers and database administrators to ... Experience with Databricks, PySpark, Liquibase, DMS * Experience in database administration

Senior Database Developer

Ashburn, VA · Hybrid

$110K - $150K/yr

... administrators to support an active program of application development - creating new structures ... Experience with Databricks, PySpark, Liquibase, DMS * Experience in database administration

Showing results 21-40

Databricks Admin information

What is a Databricks Admin?

Databricks Admins are IT professionals responsible for managing and configuring the Databricks platform within an organization. They handle user access, workspace setup, cluster management, security policies, and integration with cloud services. Their role is crucial in ensuring that the Databricks environment runs smoothly, securely, and efficiently for data teams. Admins also monitor resource usage, troubleshoot issues, and implement best practices for data processing and analytics workflows.

What are the key skills and qualifications needed to thrive as a Databricks Admin?

To thrive as a Databricks Admin, you need a solid background in data engineering, cloud computing, and distributed systems, often supported by a degree in computer science or related field. Proficiency in Databricks platform management, Spark, Azure or AWS services, and relevant certifications like Databricks Certified Associate Developer are typically required. Strong problem-solving, communication, and collaboration skills help in effectively managing resources and supporting data teams. These skills ensure optimal platform performance, secure data workflows, and support for analytics initiatives across the organization.

What are some common challenges a Databricks Admin faces when managing large-scale data pipelines?

As a Databricks Admin, one of the primary challenges is ensuring optimal cluster performance and resource utilization, especially when handling large and complex data pipelines. Admins must monitor job execution, manage user access, and troubleshoot issues related to data connectivity, cluster failures, or slow-running jobs. Additionally, maintaining data security and compliance across collaborative teams can be demanding, as it requires fine-tuning permissions and enforcing organizational policies. Strong communication with data engineers and analysts is essential to proactively address problems and optimize workflows.

What is the difference between Databricks Admin vs Data Engineer?

AspectDatabricks AdminData Engineer
CredentialsDatabricks certifications, cloud platform knowledgeProgramming skills, cloud certifications, data modeling
Work EnvironmentCloud-based Databricks platform, administrative tasksData pipelines, ETL processes, coding environments
Employer & IndustryTech companies, data-driven organizations using DatabricksOrganizations building data infrastructure, analytics teams
Search & Comparison IntentUnderstanding administrative roles in DatabricksData pipeline development and data architecture

While both roles work within data platforms, a Databricks Admin primarily manages and maintains the Databricks environment, focusing on platform configuration and user access. In contrast, a Data Engineer builds and maintains data pipelines, often utilizing Databricks for data processing. Both roles require cloud platform knowledge, but their core responsibilities differ significantly.

What are popular job titles related to Databricks Admin jobs in Virginia?

For Databricks Admin jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Databricks Admin jobs?

Cities in Virginia with the most Databricks Admin job openings:

Infographic showing various Databricks Admin job openings in Virginia as of August 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Senior Data Engineer

Richmond, VA • On-site

$104K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


CoStar Group rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Senior Data Engineer
Job Description
CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces.Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world'sreal estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers.We've continually refined, transformed and perfectedour approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors.We continue that effort today and are always working to improve and drive innovation.This is how we deliver for our customers,our employees, and investors.By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. Role Description: We are seeking a Senior Data Engineer to join a new team building our next generation of data warehousing pipelines and ecosystem in the finance tech organization. Initially this role will focus on building a data migration and transformation process for external systems for use in our enterprise contracting system. This will include receiving data from multiple data sources of varying format, frequency and type. You will create applications to process it in a repeatable, customizable and recurring state to simplify the conversion process of our financial data across systems and acquisitions both today and in the future. You will also help standardize our data environment across our billing systems to allow for greater visibility into patterns, errors and optimizations to our business, consisting of billions of dollars of payments a year. This position is in Richmond, VA and has a work schedule of Monday through Thursday in office and Friday work from home. Responsibilities: Design, build, and maintain scalable data pipelines and data platforms Develop and optimize ETL/ELT processes for large, complex datasets Collaborate with engineering, product, DevOps and DBA teams to deliver production systems Contribute to technical design decisions and mentor other engineers on the team Basic Qualifications: Bachelor's degree required from an accredited, not-for-profit, in-person college/university Track record of commitment to prior employers 5+ years of data engineering experience, including experience setting technical direction on projects and influencing design across a team Hands-on experience building batch and incremental ingestion pipelines from multiple heterogeneous external sources (REST/GraphQL APIs, flat-file and SFTP feeds, third-party data vendors, and database replication/CDC) Demonstrated experience normalizing inconsistent third-party schemas into standardized enterprise data models, including source-to-target mapping, deduplication, and entity resolution Advanced SQL and strong data modeling skills (dimensional/star schema, normalized, or Data Vault), plus proficiency in Python, Scala, Java, or C#/.NET Production experience with a distributed processing engine and a cloud data warehouse or lakehouse platform (e.g., Databricks/Spark, Snowflake, BigQuery, Redshift, Synapse/Fabric), including pipeline orchestration tooling (e.g., Airflow, Dagster, Databricks Workflows, Azure Data Factory) Experience implementing data quality, validation, and reconciliation controls for externally sourced data, with version control and CI/CD in a major cloud environment (AWS, Azure, or GCP) Experience with agentic engineering with AI-assisted development tools (Claude Code or similar) to accelerate software delivery Preferred Qualifications: Production-scale expertise with Databricks (Delta Lake, Unity Catalog, Delta Live Tables / declarative pipelines, Databricks SQL, Workflows) or an equivalent lakehouse platform, including open table formats (Delta Lake, Apache Iceberg, Apache Hudi) Experience with a modular transformation framework and tested, version-controlled models (dbt, SQLMesh, or equivalent) Experience with managed ingestion and replication tooling (Fivetran, Airbyte, Qlik Replicate, AWS DMS, Debezium, Kafka Connect) and streaming or near-real-time ingestion (Kafka, Kinesis, Spark Structured Streaming, Flink) Data quality and observability frameworks (Great Expectations, Soda, dbt tests, Monte Carlo) and data cataloging, lineage, and governance tooling (Unity Catalog, AWS Glue Data Catalog, Collibra, Alation) Master data management, entity resolution, or record-linkage tooling, including address and geospatial standardization AWS data services (S3, Glue, EMR, Lambda, Step Functions, Redshift), Terraform, and backend data services in C# / .NET AI/ML and feature-engineering pipelines and ability to apply AI assist or agentic workflows for code generation, review and root-cause analysis What's in it for you? When you join CoStar Group, you'll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed. We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, and tuition reimbursement. Our benefits package includes (but is not limited to): Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug Life, legal, and supplementary insurance Virtual and in person mental health counseling services for individuals and family Commuter and parking benefits 401(K) retirement plan with matching contributions Employee stock purchase plan Paid time off Tuition reimbursement On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes Access to CoStar Group's Employee Resource Groups Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks The final salary or hourly rate offered for this role will fall within the range set forth below based on a variety of factors, including but not limited to, geographic location, skills, and competencies. Base Compensation: $133,000 - $172,000 annually. We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However, please note that CoStar Group is not able to provide visa sponsorship for this position. #LI-CH1
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

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