ZipRecruiter

Log In

1

Databricks Engineer Jobs in Maryland (NOW HIRING)

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 ...

INDEX ANALYTICS LLC

Senior Data Engineer

Baltimore, MD · On-site

$107K - $146K/yr

The Sr. Data Engineer plays a key role in modernizing the organization's data ecosystem by helping ... Oversee Databricks unity catalog population and administration. * Formulate and document technical ...

BDR Solutions LLC

Data Engineer - Senior

Hyattsville, MD · On-site +1

$110K - $170K/yr

Databricks Certified Data Engineer Professional or advanced equivalent - must be current and in good standing at award * AWS Certified Solutions Architect or Data Engineer - Associate or Professional

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 ...

New

VIVA USA INC

Senior QA Automation Engineer

Adelphi, MD · On-site

Architect and implement robust automated testing frameworks leveraging PySpark and Databricks ... Partner closely with data engineers to troubleshoot pipeline failures, connectivity issues, and ...

Connsci

Sr. Data Engineer

Gaithersburg, MD · Remote

$123K - $148K/yr

Connsci is seeking a Senior Data Engineer to join our growing organization in support of one of our ... The solution is built on the Databricks Medallion architecture, with complex business-rule logic ...

Connsci

Sr. Data Engineer

Gaithersburg, MD · On-site

$135K - $175K/yr

Connsci is seeking a Senior Data Engineer to join our growing organization in support of one of our ... The solution is built on the Databricks Medallion architecture, with complex business-rule logic ...

Pipe Recruit

Senior Engineer

Rockville, MD · On-site

$106K - $146K/yr

... Azure Databricks (including Spark clusters) • + Azure Synapse Analytics • + Azure SQL Server ... Programming knowledge in Scala, SQL, and Python Preferred : • Strong analytical and problem ...

previous pagenext page

Showing results 21-40

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Maryland

Databricks Engineer information

See Maryland salary details

$57.7K

$108.3K

$197K

How much do databricks engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for databricks engineer in Maryland is $108,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $128,600.00 per year, depending on experience, location, and employer.

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.

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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

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 like AWS or Azure, making them valuable in data-driven organizations across various industries.

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

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

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

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

What cities in Maryland are hiring for Databricks Engineer jobs?

Cities in Maryland with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Maryland as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $108,343 per year, or $52.1 per hour.

Data Engineer Lead

Analytica

Bethesda, MD • On-site

$109K - $144K/yr

Full-time

Medical, Retirement

Re-posted 9 days ago

Job description

Analytica is seeking a hands-on Technical Lead - Data Engineering to support the design, development, and delivery of modern data and analytics solutions in a cloud-based environment. This role is best suited for a senior engineer who has grown into a leadership role and enjoys mentoring teams while remaining deeply involved in technical execution.
This role follows a hybrid schedule; candidates should be located in the DMV area to support in-person collaboration as needed.
The Technical Lead will be contributor who can lead by example-guiding engineers, coordinating technical delivery, and helping teams solve complex engineering challenges. 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 private US small business. We work with U.S. government customers in health, civilian, and national security missions. Analytica offers competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.
Key Responsibilities:
  • Lead day-to-day technical execution for engineering teams delivering data and analytics solutions
  • Serve as a senior hands-on engineer contributing to solution design, development, troubleshooting, and optimization
  • Guide and mentor engineers through technical leadership, collaboration, and code review
  • Support development and maintenance of scalable data pipelines, integrations, and processing frameworks within Databricks and AWS
  • Collaborate with architects and program leadership to implement technical solutions aligned with project objectives
  • Help break down requirements into actionable development tasks and support sprint execution
  • Partner with application engineers, QA/test teams, and business analysts to ensure successful delivery
  • Promote engineering best practices around performance, maintainability, testing, and operational support
  • Assist with production support, root cause analysis, and continuous improvement efforts
  • Contribute to Agile delivery activities including backlog refinement, sprint planning, and technical estimation

Required Qualifications:
  • U.S. citizenship and ability to obtain and maintain any required clearance or suitability determination
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field. Master's degree in a plus.
  • 8+ years of experience building and maintaining ETL/ELT pipelines and large-scale data processing solutions
  • Hands-on expertise with Databricks and modern data engineering frameworks
  • Experience working within AWS cloud environments
  • Strong proficiency in Python and/or Spark-based data processing
  • Familiarity with CI/CD pipelines, Git-based workflows, and Agile development practices
  • Strong troubleshooting, collaboration, and communication skills
  • Ability to lead technical efforts while remaining hands-on in delivery
  • Certification in one or more
  • Databricks Certified Data Engineer Associate and/or Databricks Certified Machine Learning Associate
  • AWS Certified Data Analytics - Specialty and/or AWS Certified DevOps Engineer - Professional
  • Experience working in client-facing or consulting environments
  • Strong communication skills with the ability to bridge technical and non-technical stakeholders
  • Familiarity with Agile/Scrum methodologies and tools

About Analytica: 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 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is 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.

Apply