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Databricks Engineer Jobs in Columbia, MD (NOW HIRING)

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/yr

Contributions We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking for ...

ECS

Senior Databricks Migration Engineer

Arlington, VA · On-site

$130K - $158K/yr

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 ...

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site

$125K - $160K/yr

Contributions We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking for more ...

Databricks

Sr Software Engineer -Public Sector

Mclean, VA · On-site

$155K - $214K/yr

P-1366 About Databricks At Databricks, we are passionate about enabling data teams to solve the ... Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA

$140K - $180K/yr

We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking for more than ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site

$140K - $180K/yr

Overview We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking for ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA

$140K - $180K/yr

Overview We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking for ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA

$140K - $180K/yr

Overview We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking for ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site

$125K - $165K/yr

We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks.We are looking for more than ...

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Showing results 41-60

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Columbia, MD

Databricks Engineer information

See Columbia, MD salary details

$59K

$110.8K

$201.5K

How much do databricks engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for databricks engineer in Columbia, MD is $110,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $131,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
What are popular job titles related to Databricks Engineer jobs in Columbia, MD? For Databricks Engineer jobs in Columbia, MD, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Columbia, MD look for? The top searched job categories for Databricks Engineer jobs in Columbia, MD are:
What cities near Columbia, MD are hiring for Databricks Engineer jobs? Cities near Columbia, MD with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Columbia, MD as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $110,783 per year, or $53.3 per hour.

Databricks Platform & Database Engineer

CoStar Group

Arlington, VA • On-site

Full-time

Posted 11 days ago

Job description

Databricks Platform & Database 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's real 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 perfected our 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.
We are looking for a Databricks Platform & Database Engineer with hands-on experience in enterprise Databricks environments on AWS and traditional database engineering spanning relational and non-relational systems. In this role, you will serve as the primary owner of our Databricks environment on AWS responsible for administration, automation, governance, and platform reliability end to end. Alongside that, you will manage, optimize, automate, and govern a broader portfolio of relational databases (SQL Server, Aurora, PostgreSQL, MySQL) and nonrelational data stores across both AWS cloud and on-premises data centers.
CoStar is investing heavily in artificial intelligence to accelerate software delivery, improve platform observability, automate research and business workflows, enhance product experiences through intelligent agents and skills, and improve data quality across enterprise systems. Successful candidates will demonstrate a willingness to learn, adopt, and apply AI technologies responsibly to solve complex business and engineering challenges.
This position is located in Arlington, VA and is in office Monday through Thursday with work from home on Friday.
Responsibilities
  • Deploy, administer, and maintain Databricks workspaces on AWS, including workspace configuration, network settings, access management, Runtime versions, cluster configurations, libraries, and init scripts across dev, staging, and production
  • Manage Unity Catalog objects (catalogs, schemas, tables, external locations) and administer workspace security: users, groups, service principals, permissions, and enterprise identity provider integrations
  • Lead platform upgrades, workspace migrations, and full environment lifecycle management
  • Monitor, optimize and right-sizing clusters, SQL warehouses, and job compute for performance and cost; analyze Spark executor logs and query plans to diagnose and resolve bottlenecks
  • Support data ingestion from relational and non-relational sources into Databricks via AWS, DMS or native Lakeflow ingestion services
  • Lead the design and implementation of end-to-end data workflows, covering the reliable distribution of curated data to downstream systems including SQL Server, DynamoDB, S3, and other enterprise data consumers.
  • Design, implement, and administer relational and non-relational databases such as SQL Server, Aurora, PostgreSQL, MySQL, and DynamoDB across AWS (RDS/Aurora) and on-premises data centers
  • Manage provisioning, patching, backups, replication, failover, version upgrades, and cross-platform migrations between cloud and on-premises environments
  • Apply database security best practices including encryption at rest and in transit, access control, and auditing
  • Develop IaC solutions using Terraform for Databricks workspaces, AWS RDS, Aurora, and supporting resources
  • Automate operational tasks: cluster lifecycle, database provisioning, job scheduling, and backup management across cloud and on-premises environments
  • Build and maintain CI/CD workflows for platform configuration and pipeline code
  • Implement proactive monitoring and alerting across Databricks jobs, pipelines, clusters, SQL warehouses, and all database instances
  • Implement and enforce cluster policies, SQL warehouse governance, and workspace hardening.
  • Manage Databricks audit logs, lineage, and compliance reporting
  • Support SLA-driven 24/7 production environments; lead root cause analysis, troubleshoot incidents, and author operational runbooks
  • Partner with data scientists, business analysts, DBAs, and DevOps engineers to deliver platform implementations and respond to ad-hoc data needs

Basic Qualifications
  • Bachelor's Degree required from an accredited, not for profit, in person, university or college.
  • A track record of commitment to prior employers.
  • Familiarity with large language models (LLMs), prompt engineering, or agent-based architectures.
  • 5+ years of experience in database engineering or data platform roles, across both relational/non-relational database administration and Databricks platform ownership
  • Proven, hands-on experience administering enterprise Databricks environments
  • Collaborate with cross-functional teams: Work closely with business analysts, data scientists, DBAs, and DevOps engineers to ensure successful data platform implementations.
  • Ability to retrieve, synthesize, and present critical data in structures that is immediately useful to answering specific ad-hoc questions
  • Knowledge of data governance and compliance best practices.
  • Deep expertise in Databricks platform administration: Unity Catalog, workspace security, cluster management, and Auto Loader on AWS
  • Strong relational database engineering skills: schema design, query optimization, indexing, stored procedures, replication, and failover across SQL Server, Aurora, PostgreSQL, and/or MySQL
  • Advanced SQL and proficiency in PySpark and Python
  • Infrastructure-as-Code experience with Terraform; CI/CD pipeline management
  • Experience with cost optimization initiatives.
  • Experience supporting 24/7 operational environments
  • Experience with data governance frameworks, compliance practices, and cloud cost optimization

Preferred Qualifications
  • Working knowledge of Data Visualization tools like Looker and PowerBI
  • Working knowledge of non-relational databases: DynamoDB, MongoDB, or equivalent NoSQL platforms
  • Familiarity with AI governance frameworks, model lineage, auditability, and compliance
  • requirements for ML systems
  • Experience with kafka or other real-time streaming platforms, Postgres/RDBMS
  • Experience with Snowflake Administration
  • Experience working with and managing large consumer datasets to derive insights
  • Experience with FinOps / cloud cost optimization
  • Experience implementing access controls, data privacy protections, and monitoring for AI workloads.
  • Familiarity with ML tooling: MLflow, TensorFlow, PyTorch, or Scikit-learn
  • Understanding of Lakehouse AI architecture and how ML pipelines integrate with Unity Catalog and Delta Lake

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.
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: $136,000 - $177,000 annually.
#LI-CH1
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing
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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