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Remote Databricks Data Engineer Jobs in Pasadena, MD

Remote Job Duration: Fulltime Client: Federal Criteria- Need ship because of federal regulations ... Ability to obtain Public Trust Clearance * 5+ years of experience in AI/ML, Data Science, Data ...

Data Associate Engineer (Remote)

Baltimore, MD ยท Remote

$113K - $136K/yr

Supports the Software Engineering team with data analysis and validation with extensive SQL queries. * Writes and executes ETL code, primarily complex SQL stored procedures, but with a strong ability ...

Remote Job Duration: Fulltime Client: Federal Criteria- Need ship because of federal regulations ... Ability to obtain Public Trust Clearance * 5+ years of experience in AI/ML, Data Science, Data ...

Remote Job Duration: Fulltime Client: Federal Criteria- Need ship because of federal regulations ... Ability to obtain Public Trust Clearance * 5+ years of experience in AI/ML, Data Science, Data ...

Quality Assurance Specialist

Baltimore, MD ยท On-site +1

$56K - $82K/yr

Working within an Agile Scrum team, the engineer will collaborate with developers, data engineers ... Validate cloud-based data platforms including AWS, Databricks, Redshift, Amazon S3, and RDS.

New

Data Architect

Columbia, MD ยท On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0244044 Location: Columbia,MD,US Share job via: Share Data Architect ... Confer with systems analysts, engineers, and programmers to design applications. * Advise higher ...

Showing results 21-40

Remote Databricks Data Engineer information

See Pasadena, MD salary details

$45.2K

$131.7K

$180.2K

How much do remote databricks data engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote databricks data engineer in Pasadena, MD is $131,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $139,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Databricks Data Engineer, and why are they important?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
What are the most commonly searched types of Databricks Data Engineer jobs in Pasadena, MD? The most popular types of Databricks Data Engineer jobs in Pasadena, MD are:
What are popular job titles related to Remote Databricks Data Engineer jobs in Pasadena, MD? For Remote Databricks Data Engineer jobs in Pasadena, MD, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Data Engineer jobs in Pasadena, MD look for? The top searched job categories for Remote Databricks Data Engineer jobs in Pasadena, MD are:
What cities near Pasadena, MD are hiring for Remote Databricks Data Engineer jobs? Cities near Pasadena, MD with the most Remote Databricks Data Engineer job openings:
Infographic showing various Remote Databricks Data Engineer job openings in Pasadena, MD as of June 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $131,680 per year, or $63.3 per hour.

SOFTWARE DATA ENGINEER - AI/ML/LLM - 2+ yrs of Experience - TS/SCI w/Poly clearance is required - ES

Halogen Engineering Group, Inc

Fort George G Meade, MD โ€ข On-site, Remote

$142 - $146/mo

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Software Data Engineer - AI/ML/LLM - 2+ yrs of Experience - TS/SCI w/Poly Required

Halogen Engineering is looking for a Software Engineer who will develop, maintain, and enhance complex and diverse software systems based upon AI-related requirements. You will develop software solutions for AI-driven automation and efficiency gains, and design, develop, and deploy scalable AI/ML models and tools tailored to the operational needs of the customer. You will collaborate with relevant stakeholders to implement mission requirements into technical solutions.
Location: Fort Meade, MD
Travel Required: No
Shift: Day
Remote Type: Onsite
Security Clearance: Current TS/SCI
Polygraph: Required


Salary Range


The projected compensation range for this position is 142K-146K (annualized USD).

Salary is determined by various factors, including but not limited to location, the individualโ€™s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements



Requirements


Individual Capabilities/Experience Required:

  • Two (2) years of demonstrated experience in Software Engineering with a Bachelor's degree in Engineering, Computer Science, Mathematics, or appropriate field from an accredited college or university; or zero (0) years of experience with a qualifying Master's or PhD degree. Three (3) years of Software Engineering experience with a high school diploma or GED would also be acceptable.
  • Experience with Prompt Engineering and retrieval-augmented generation (RAG)
Individual Capabilities/Experience Desired:

  • Able to work in a collaborative environment as a team player.
  • Familiarity with commercial and open-source AI/ML frameworks and platforms
  • Experience designing, fine-tuning, and deploying large language models (LLMs)
  • Ability to analyze data structures and data objects


Benefits


CareFirst Insurance

Medical Plans

  • Three available medical plansโ€“2 Platinum PPO Plans ($0 Deductible) and 1 HSA Plan ($1500 deductible)
  • Halogen pays 100% Medical Premium Costs up to $25,000
  • CareFirst Wellness Rewards Program
Guardian Insurance

Dental Plan

  • Halogen pays 50% of the plan costs

Vision Plan

  • Halogen pays 100% of the plan costs

401K Retirement Plan

ยท 10% contribution paid by the company, automatically vested and paid in each pay period.

Life Insurance, AD&D, Short and Long Term Disability Coverage

Paid Time Off

ยท 20 Paid Time Off Days

ยท 6 Federal Holidays

ยท 5 Floating Holidays

Bonuses

ยท Based on performance and billable hours


Halogen Engineering Group does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.