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Databricks Jobs in Maryland (NOW HIRING)

Analytica

Data Engineer

Bethesda, MD · On-site

$122K - $147K/yr

Design, build, and maintain scalable data pipelines and data architectures using Databricks and distributed processing frameworks (ownership and complexity vary by level) * Develop and optimize data ...

INDEX ANALYTICS LLC

Senior Data Engineer

Baltimore, MD · On-site

$107K - $146K/yr

Oversee Databricks unity catalog population and administration. * Formulate and document technical and coding standards. * Collaborate to design secure, scalable, and costoptimized data solutions.

RELI Group Inc.

Database Administrator

Baltimore, MD · On-site +1

$62K - $91K/yr

The Data Engineer will focus on developing data ingestion, transformation, and processing pipelines across AWS and Databricks-based environments, with an emphasis on Delta Lake lakehouse ...

New

T Rowe Price

Senior Data Scientist

Baltimore, MD · Hybrid

As a team leader, you will think creatively and scale modern AI/Data Science practices on Databricks, set team standards, and drive collaborative delivery. T. Rowe Labs is focused on building the ...

RELI GROUP INC

Database Administrator

Baltimore, MD · On-site

$62K - $91K/yr

The Data Engineer will focus on developing data ingestion, transformation, and processing pipelines across AWS and Databricks-based environments, with an emphasis on Delta Lake lakehouse ...

New

Analytica

Data Engineer Lead

Bethesda, MD · On-site

$109K - $144K/yr

The focus for this role will be heavily centered around Databricks and modern data engineering practices within AWS environments. Analytica has been recognized by Inc. Magazine as a fastest-growing ...

Analytica

Data Engineer Lead

Bethesda, MD · On-site

$109K - $144K/yr

The focus for this role will be heavily centered around Databricks and modern data engineering practices within AWS environments. Analytica has been recognized by Inc. Magazine as a fastest-growing ...

Accenture LLP

Data Platform Engineer

Suitland, MD · On-site

$98K - $102K/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 ...

ANALYTICA

Data Engineer Lead

Bethesda, MD · On-site

$109K - $144K/yr

The focus for this role will be heavily centered around Databricks and modern data engineering practices within AWS environments. Analytica has been recognized by Inc. Magazine as a fastest-growing ...

VIVA USA INC

Senior QA Automation Engineer

Adelphi, MD · On-site

Architect and implement robust automated testing frameworks leveraging PySpark and Databricks-native tools for data validation across Raw, Curated, and Mart layers. Design and implement data quality ...

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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 job categories do people searching Databricks jobs in Maryland look for?

The top searched job categories for Databricks jobs in Maryland are:

What cities in Maryland are hiring for Databricks jobs?

Cities in Maryland with the most Databricks job openings:

Databricks jobs near you
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.

Data Engineer

Analytica

Bethesda, MD • On-site

$122K - $147K/yr

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Analytica is seeking Data Engineers across multiple experience levels-from junior to senior-to join our growing team and support the design and development of scalable data platforms and analytics solutions. We are actively considering candidates with a range of expertise, and responsibilities will be aligned to demonstrated technical depth, autonomy, and ability to deliver impact.
The ideal candidate thrives in an agile, collaborative environment and brings experience (or strong foundational knowledge, for emerging engineers) in building data pipelines and architectures using Databricks and modern data engineering frameworks.
Analytica has been recognized by Inc. Magazine as one of the fastest-growing private companies in the U.S. for three consecutive years. We partner with organizations across industries to deliver impactful, data-driven solutions. We offer competitive compensation, performance-based bonuses, employer-sponsored health benefits, professional development funding, and a 401(k) match.
Responsibilities include (but are not limited to):
  • Design, build, and maintain scalable data pipelines and data architectures using Databricks and distributed processing frameworks (ownership and complexity vary by level)
  • Develop and optimize data models, including dimensional (star/snowflake) schemas, to support analytics and reporting use cases
  • Build and support ETL/ELT processes using SQL, Python, and Spark to ingest, transform, and curate datasets
  • Collaborate with stakeholders to translate business requirements into technical data solutions
  • Ensure data quality, integrity, and performance through testing, monitoring, and optimization
  • Contribute to data platform design decisions, tooling selection, and engineering best practices (increasing influence at higher levels)
  • Implement and support CI/CD pipelines for data workflows and assist with deployment and maintenance of data applications
  • Apply data governance, security, and metadata management best practices

Qualifications (aligned to expertise level):
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field (or equivalent experience)
  • Experience working across cloud (AWS, Azure) or hybrid data environments
  • Demonstrated hands-on experience with Databricks commensurate with overall years of experience and seniority level
  • US Citizenship and must be able to obtain and maintain security clearance
  • Emerging / Junior Data Engineer:
    • Foundational knowledge of SQL and Python (or similar language)
    • Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects
    • Understanding of basic data modeling and ETL/ELT concepts
    • Ability to work within established pipelines and contribute to data workflows with guidance
  • Mid-Level Data Engineer:
    • Hands-on experience building and maintaining data pipelines using Databricks and Spark
    • Strong SQL and programming skills (Python and/or Scala)
    • Experience designing data models and optimizing data processing workflows
    • Ability to independently deliver data solutions and troubleshoot performance issues
  • Senior Data Engineer:
    • Deep expertise in Databricks, Spark, and large-scale data processing architectures
    • Proven ability to design and implement scalable data platforms and lakehouse architectures
    • Strong experience with performance tuning, data reliability, and cost optimization
    • Ability to lead technical design, mentor team members, and influence data engineering best practices
    • Experience working cross-functionally to define data strategy and architecture
  • Strong communication skills and ability to work effectively with both technical and non-technical stakeholders

Preferred Qualifications:
  • Experience with Delta Lake and lakehouse architecture pattern
  • Familiarity with modern data stack tools (e.g., dbt, Airflow, or similar orchestration tools)
  • Experience with data governance, cataloging, and lineage tools
  • Experience mentoring junior engineers or leading technical initiatives (senior level)
  • Relevant certifications in data engineering or big data technologies particularly in Databricks

AboutAnalytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small businessthat hasbeen recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growingcompanies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The companyis appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.
Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.
To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.
  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.
By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.
When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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