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Data Engineer Jobs in California, MD (NOW HIRING)

Deckers

Data Architecture Lead

California, MD · On-site +1

Collaborate with data engineering teams to translate architecture designs into scalable physical implementations on AWS cloud data platforms * Participate in architecture and design reviews ...

JET Systems

Be Seen First

SOFTWARE ENGINEER - DATA APPLICATIONS

Lexington Park, MD · On-site

$90K - $125K/yr

The Software Engineer - Data Applications supports a small product development team responsible for designing, developing, testing, and sustaining web-based data applications and analytical tools.

Deckers

Director, Data Architecture

California, MD · On-site +1

You'll collaborate with engineering, analytics, governance, and business teams to drive adoption and operationalization of cutting-edge data architecture principles. We celebrate diversity--of your ...

Cloudera

Staff Software Engineer - Trino

California, MD · Remote

$184K - $230K/yr

Engineering Seniority Level: Mid-Senior level At Cloudera, we empower people to transform complex ... With as much data under management as the hyperscalers, we're the preferred data partner for the ...

Procore

Principal Product Manager, Data

California, MD · On-site

Lead cross-functional collaboration with Engineering, Data Science, Data Engineering, and Go-to-Market teams through all phases of product development. * Define and track success metrics for data ...

KAIROS, Inc.

Data Scientist

Saint Inigoes, MD · On-site

$90K - $115K/yr

This position will apply data mining, data modeling, natural language processing, and machine ... Bachelor's degree in an engineering, technical, business, or other related discipline, required or ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in California, MD

Data Engineer information

See California, MD salary details

$42.6K

$124.3K

$170.1K

How much do data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer in California, MD is $124,306.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,700.00 and $131,800.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in California, MD?

The most popular types of Data Engineer jobs in California, MD are:

What are popular job titles related to Data Engineer jobs in California, MD?

For Data Engineer jobs in California, MD, the most frequently searched job titles are:

What cities near California, MD are hiring for Data Engineer jobs?

Cities near California, MD with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in California, MD as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,306 per year, or $59.8 per hour.

AI/ML Engineer & Data Management Specialist

Sabre Systems LLC

Patuxent River, MD • On-site

$111K - $133K/yr

Full-time

Posted 18 days ago

Job description

Responsibilities

Sabre Systems is seeking an AI/ML Engineer & Data Management Specialist (Journeyman) to support the Combat Survivability Division’s Low Observables (LO) Life Cycle Management (LCM) mission at NAS Patuxent River in Lexington Park, MD. This role combines advanced data science, artificial intelligence, machine learning, and comprehensive data management responsibilities to strengthen LO sustainment performance across multi-level security environments. This is an in-person on-site position at NAS Patuxent River and is not eligible for telework. Anticipated Travel requirements are less than 10%. 

The selected candidate will be responsible for but not limited to:

  • Effectively and efficiently operate and communicate across multi-level security environments.
  • Coordinate, gather, clean, and integrate technical and programmatic data from multiple program and project offices.
  • Work closely with data management specialists to structure, maintain, and ensure the integrity of large, complex, multi-source datasets.
  • Apply artificial intelligence and machine learning models (e.g., CAPRA, GenAI) to support gap analyses, business case analyses, and readiness assessments.
  • Develop and refine prompts to optimize the performance and relevance of AIgenerated outputs for project needs.
  • Build, validate, and interpret predictive models to assess LO sustainment performance, forecast readiness trends, and identify capability or resource gaps.
  • Manage, maintain, and optimize relational and/or non-relational databases to ensure data availability, reliability, and performance.
  • Design, implement, and manage Extract-Transform-Load (ETL) processes, validation routines, and data quality checks to maintain high data integrity.
  • Create clear, concise data visualizations, summaries, and technical reports to communicate findings to engineers, logisticians, and leadership.
  • Ensure all data management and analysis activities comply with DoD/NAVAIR security, privacy, and regulatory requirements, including access controls and audit trails.

Qualifications

Minimum Qualifications

  • Accredited BA or BS degree relevant to data science, analytics, data management, or information technology.
  • At least three (3) years of recent and relevant experience in data science, analytics, or data management.
  • Demonstrated experience delivering results in multi-level security environments.
  • Experience in data analysis, predictive modeling, or applied statistics in a technical or programmatic setting.
  • Hands-on experience utilizing artificial intelligence and machine learning models, including prompt engineering for GenAI or similar tools.
  • Ability to organize, clean, and maintain large, multi-source datasets and ensure high data integrity.
  • Proficiency in data integration and Extract-Transform-Load (ETL) processes, including data migration between systems.
  • Ability to create clear, concise, and actionable data visualizations using tools such as Tableau, Power BI, or similar tools.
  • Familiarity with data security, privacy, and compliance requirements in DoD or government environments.
  • Strong interpersonal and communication skills for working with multi-disciplinary teams, including engineers, logisticians, program managers, and data specialists.
  • Clearance: Active TS with SAP eligibility required; SCI eligibility desired; optimal qualifications include existing C-Net access and SCI Access Indoctrination; Must be a U.S. Citizen

Desired Qualifications

  • Direct experience supporting ACATlevel programs.
  • Advanced degree in a relevant discipline.
  • Direct experience working with defense, aerospace, or government technical/programmatic data.
  • Experience with Python, R, SQL, or similar languages for data manipulation and analysis.
  • Experience automating data workflows or data management tasks using scripting languages or workflow automation tools.
  • Demonstrated experience managing and maintaining large datasets in technical or programmatic environments.
  • Experience developing and implementing data quality assurance or auditing processes.
  • Ability to create and maintain metadata repositories, data dictionaries, and documentation to support data transparency and usability.

#LI-CS3


Compensation Statement
At Sabre Systems, LLC, compensation is based on factors such as location, qualifications, experience, and contract-specific requirements; however, final compensation will be determined by individual qualifications and applicable contract terms. The general salary range for this position is as follows: $162,200.00 - $162,200.00
Refer & Earn: Employee Referral Bonus Eligibility
A Level 3 Employee Referral Bonus applies to this requisition for qualifying referrals. At Sabre Systems, we value great talent and encourage our employees to refer exceptional candidates. If you have any questions about the referral policy or this position, please contact the Recruiting team.
Sabre Overview

Sabre Systems, LLC, has been providing innovative technological solutions and services for Department of Defense, Federal Civilian, and commercial customers for more than 35 years. We support the ever-evolving areas of advanced communication technologies, cyber, systems and software engineering, and digital transformation.  

With over three decades in business, Sabre Systems, LLC remains committed to our small business values and a people-first philosophy. We foster a welcoming, inclusive culture that values diverse perspectives and encourages open communication. Our collaborative environment supports continuous learning and professional growth at all levels. We prioritize the health, well-being, and success of our employees, offering comprehensive, evolving benefits designed to meet their diverse needs. Join us and be part of a thriving, people-driven culture.

We respect the unique perspectives that a diverse workforce of minorities, women, individuals with disabilities, and protected veterans brings not only to our company, but also to our customers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity and sexual orientation), national origin, age, disability or genetic information.

 

EEO Minorities/Females/Disability/Veterans; VEVRAA Federal Contractor

Beware of employment scams—Sabre Systems will never request payment, extend offers without an interview, or contact you from an email that doesn’t end in @sabresystems.com; always apply directly at https://careers.sabresystems.com/. 

Qualifications:

Minimum Qualifications

  • Accredited BA or BS degree relevant to data science, analytics, data management, or information technology.
  • At least three (3) years of recent and relevant experience in data science, analytics, or data management.
  • Demonstrated experience delivering results in multi-level security environments.
  • Experience in data analysis, predictive modeling, or applied statistics in a technical or programmatic setting.
  • Hands-on experience utilizing artificial intelligence and machine learning models, including prompt engineering for GenAI or similar tools.
  • Ability to organize, clean, and maintain large, multi-source datasets and ensure high data integrity.
  • Proficiency in data integration and Extract-Transform-Load (ETL) processes, including data migration between systems.
  • Ability to create clear, concise, and actionable data visualizations using tools such as Tableau, Power BI, or similar tools.
  • Familiarity with data security, privacy, and compliance requirements in DoD or government environments.
  • Strong interpersonal and communication skills for working with multi-disciplinary teams, including engineers, logisticians, program managers, and data specialists.
  • Clearance: Active TS with SAP eligibility required; SCI eligibility desired; optimal qualifications include existing C-Net access and SCI Access Indoctrination; Must be a U.S. Citizen

Desired Qualifications

  • Direct experience supporting ACATlevel programs.
  • Advanced degree in a relevant discipline.
  • Direct experience working with defense, aerospace, or government technical/programmatic data.
  • Experience with Python, R, SQL, or similar languages for data manipulation and analysis.
  • Experience automating data workflows or data management tasks using scripting languages or workflow automation tools.
  • Demonstrated experience managing and maintaining large datasets in technical or programmatic environments.
  • Experience developing and implementing data quality assurance or auditing processes.
  • Ability to create and maintain metadata repositories, data dictionaries, and documentation to support data transparency and usability.

#LI-CS3

Education:UNAVAILABLEEmployment Type: FULL_TIME

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