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Databricks Jobs in Maryland (NOW HIRING)

Databricks Developer Location: Bethesda, MD Duration: 12 Months We are seeking a highly experienced Data Integration and Business Intelligence (BI) Developer with deep expertise in Databricks, AWS ...

Databricks Engineer

Bethesda, MD ยท On-site

$62 - $141/hr

The Opportunity We are seeking a handsโ€‘on Databricks Engineer to design, build, and operate scalable data and analytics solutions supporting government mission needs. This role requires strong ...

New

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East Adelphi, MD 20783 Period of Performance: 1 year 40 hours per week (no overtime). Position Summary: The ...

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East Adelphi, MD 20783 Period of Performance: 1 year 40 hours per week (no overtime). Position Summary: The ...

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East Adelphi, MD 20783 Period of Performance: 1 year 40 hours per week (no overtime). Position Summary: The ...

Databricks Engineer

Bethesda, MD ยท On-site

$62K - $141K/yr

Databricks Engineer The Opportunity: We are seeking a hands-on Databricks Engineer to design, build, and operate scalable data and analytics solutions supporting government mission needs. This role ...

Data Platform Engineer

Suitland, MD ยท On-site

$123K - $148K/yr

Developing and maintaining Databricks notebooks and workflows, supporting the auditing of engineering practices across the Embedded Support Division (ESD). * Leveraging your expertise, you will ...

Systems Architect - DevSecOps

Bethesda, MD ยท On-site

$120 - $160/hr

Databricks Lakehouse Platform * Apache Spark * Distributed data processing frameworks * Enterprise data platform architecture * Cloud migration and modernization strategies Infrastructure ...

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Showing results 1-20

Databricks information

See Maryland salary details

$22.8K

$36.6K

$49.5K

How much do databricks jobs pay per year?

As of Aug 20, 2026, the average yearly pay for databricks in Maryland is $36,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $40,300.00 per year, depending on experience, location, and employer.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

Does Databricks hire remote employees?

Databricks offers remote work opportunities for certain roles, especially those related to software engineering, data science, and cloud infrastructure. The availability of remote positions depends on the specific job and team requirements, and candidates should review individual job postings for location details.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that involve working with tools like Apache Spark and machine learning. Employee reviews often cite a collaborative environment and opportunities for skill development, though experiences can vary by role and location.

What are jobs in Databricks?

Jobs in Databricks refer to roles that involve developing, managing, and optimizing data workflows using the Databricks platform, which is built on Apache Spark. These positions often require skills in data engineering, data science, or machine learning, and may involve working with cloud environments, SQL, and programming languages like Python or Scala.

What are the most commonly searched types of Databricks jobs in Maryland?

The most popular types of Databricks jobs in Maryland are:

What are popular job titles related to Databricks jobs in Maryland?

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

What cities in Maryland are hiring for Databricks jobs?

Cities in Maryland with the most Databricks job openings:

Infographic showing various Databricks job openings in Maryland as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $36,603 per year, or $17.6 per hour.

Databricks Developer

Resource Point LLC

Bethesda, MD โ€ข On-site

Contractor

Re-posted 9 days ago


Job description

Job Title: Databricks Developer

Location: Bethesda, MD

Duration: 12 Months

Job Description

We are seeking a highly experienced Data Integration and Business Intelligence (BI) Developer with deep expertise in Databricks, AWS cloud technologies, and Tableau. The ideal candidate will have a strong background in designing and implementing scalable data solutions and BI reporting in cloud environments, particularly within the IRS EDP and Analytical platforms.

Responsibilities:

  • Design and develop scalable data integration, aggregation, and extraction workflows using Databricks.
  • Build and optimize robust data pipelines to support analytics and reporting.
  • Develop interactive dashboards and reports using Tableau.
  • Collaborate with cross-functional teams to gather requirements and deliver innovative data and application solutions.
  • Ensure data solutions are secure, scalable, and aligned with architectural best practices.

Required Skills:

  • Hands-on experience with AWS cloud platform.
  • Proven experience designing and implementing scalable and secure AWS cloud solutions using the Databricks platform.
  • Expertise in Databricks Delta Lake and Lakehouse Architecture.
  • Strong experience in designing and implementing scalable BI reports in Tableau.
  • Expert-level skills in architecting solutions on the AWS Databricks platform.
  • Familiarity with IRS EDP Databricks platform and IRS Analytical platform.
  • Strong understanding of data integration, data warehousing, and BI best practices.
  • Excellent problem-solving, communication, and collaboration skills.
  • Programming Skills: Java 17; MongoDB 5.3.x; Spring Boot; AWS (dynamo MSK); Kafka; React; NodeJS; Java base (front-end) Thymeleaf; PySpark;