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Remote Databricks Data Engineer Jobs in Cambridge, MD

Dart Container

Process Engineer

Federalsburg, MD · On-site +1

Please note that remote work requires 60-70% travel to our facilities. What We Are Looking For ... Create test parameters and analyze performance data for process optimization * Develop and execute ...

Dart Container

Process Engineer

Federalsburg, MD · On-site +1

Please note that remote work requires 60-70% travel to our facilities. What We Are Looking For ... Create test parameters and analyze performance data for process optimization * Develop and execute ...

Saalex

Software Engineer - React/AWS

Lexington Park, MD · Remote

$90K - $155K/yr

This is a remote position. The ideal candidate will have extensive experience as a full-stack ... and data integrity. Essential Functions: * Engineers IT solutions using AWS native services and ...

System One

Cloud Infrastructure Engineer II

Seaford, DE · Remote

$57 - $76.25/hr

... data center maintenance. * Perform day-to-day administration of AWS and Azure resources ... This role operates in a physical office environment with hybrid (partially remote) eligibility.

Saalex

General Consideration

Lexington Park, MD · On-site +1

... remote/in-office options may vary. What We're Looking For: We are always on the lookout for talented professionals in various fields including: * Software Development * Data Analysis and Engineering

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Remote Databricks Data Engineer information

See Cambridge, MD salary details

$41.8K

$121.9K

$166.8K

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

As of Jun 28, 2026, the average yearly pay for remote databricks data engineer in Cambridge, MD is $121,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $129,200.00 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 popular job titles related to Remote Databricks Data Engineer jobs in Cambridge, MD? For Remote Databricks Data Engineer jobs in Cambridge, MD, the most frequently searched job titles are:
What cities near Cambridge, MD are hiring for Remote Databricks Data Engineer jobs? Cities near Cambridge, MD with the most Remote Databricks Data Engineer job openings:
Remote Databricks Data Engineer jobs near you
Model Based Systems Engineer (MBSE)

Model Based Systems Engineer (MBSE)

Saalex

Lexington Park, MD • Remote

$115K - $135K/yr

Temporary

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Spalding, a Saalex Company is seeking a Model Based Systems Engineer (MBSE) in Lexington Park, MD. Spalding, a Saalex Company is a professional services company delivering cutting-edge solutions to the Department of Defense since 2001. Our expert-level solutions include software development, information technology, program management, financial management and business intelligence services.  Spalding offers competitive compensation, career development, flexible work schedules and excellent benefits.

Position Type: Temporary ~7 months

Salary: $115k-$135k annually (depending upon experience)

Work Location: This is a remote position

Essential Functions:

  • Develop and manage MBSE products and initiatives that support modeling NAVAIR logistic data and systems as they mature a digital twin of naval aviation.
  • Architecture Analysis - Analyze and decompose the current Teamcenter product lifecycle management (PLM) architecture to map existing components and integration points.
  • Data Modeling - Document and diagram existing data elements; map current data structures to the new NPLM target model.
  • DoDAF Artifact Creation - Develop and maintain Data Item Views (DIV-1 and DIV-2) for both the existing COMET/HII data model and the new NPLM Base Model.
  • ETL & Integration Modeling - Design Extract, Transform, Load (ETL) models, including 4GD transformations; author and maintain Interface Control Documents (ICD).
  • Technical Documentation - Draft and finalize comprehensive System Design Documentation (SDD) for the architecture transition.
  • Deprecation Analysis - Evaluate the existing Teamcenter and OEM data models to identify components and legacy structures eligible for retirement.
  • Collaborate with other engineering teams in planning, design, and development of systems to ensure software and hardware performance and compatibility.
  • Maintain system model in Cameo model-based systems engineering tool.
  • Participate in design working group and technical interchange meetings.
  • Other duties as assigned or required.

Requirements

 Required:

  • 3 years' experience with systems engineering and the utilization of model-based systems and digital engineering processes, principles, techniques, and procedures.
  • Understanding of model-based systems engineering tools such as Cameo, Magic Draw, Rhapsody, and/or other SysML modeling tools.
  • Core MBSE Expertise - Proven background in systems analysis, data modeling, and creating complex system architecture diagrams using industry-standard MBSE tools (e.g., Cameo, Sparx EA).
  • Frameworks & Methodologies - Extensive hands-on experience generating DoDAF or UAF artifacts, with specific proficiency in data views (DIV-1, DIV-2).
  • Demonstrated proficiency in industry-standard MBSE tools (e.g., Cameo Enterprise Architecture, Sparx Enterprise Architect, or Siemens System Modeling Workbench) with a proven ability to generate DoDAF 2.02 artifacts and data models.

Desired:

  • Domain Knowledge - Familiarity with Product Lifecycle Management (PLM) systems; direct experience with Siemens Teamcenter and/or NPLM transitions is highly preferred.
  • Data Engineering Acumen - Strong understanding of data mapping, ETL processes, and interface control management.
  • Communication - Exceptional technical writing skills with the ability to translate complex data structures into clear System Design Documentation (SDD).

Education:

BS degree in Engineering, Math or relevant technical field is required.

Security Clearance:

Active Secret clearance required. Requirements to obtain a clearance include US Citizenship, security investigation, etc.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Resources
  • Stock Option Plan

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