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Data Engineer Jobs in California, MD (NOW HIRING)

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DATA SCIENTIST - KNOWLEDGE GRAPHS & AI

Lexington Park, MD ยท On-site

$120K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Jaster Engineering Technology (JET) Systems develops, maintains, and innovates systems for specific ... The Data Scientist - Knowledge Graphs and AI supports the design, development, integration, and ...

Data Center Engineer

California, MD

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Data Center Engineer The Opportunity: Designs, installs, configures, and maintains the organization's IT infrastructure to meet the business needs; monitors and troubleshoots problems. Applies ...

Work collaboratively with data engineers and developers to acquire, process, and format data both at source and post-extraction to create analytical products * Partner with data analysts and data ...

Work collaboratively with data engineers and developers to acquire, process, and format data both at source and post-extraction to create analytical products * Partner with data analysts and data ...

Showing results 21-40

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 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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

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

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

Infographic showing various Data Engineer job openings in California, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $124,306 per year, or $59.8 per hour.

Data Analytics Engineer with Security Clearance

Sabre Systems

Lexington Park, MD โ€ข On-site

$111K - $133K/yr

Other

Re-posted yesterday


Job description

Responsibilities The NAVAIR Digital Department, Command Data Officer Team is seeking a Data Analytics Engineer to work with our diverse operational and customer stakeholders to identify, help acquire, process, and when necessary, visualize and analyze our diverse data sources. The successful candidate will work across diverse technical and operational customers on a number of mission-critical, high-visibility projects to contribute foundational data assets for our analytics team. Primary Responsibilities: * Work with data engineers & developers to acquire, process, and format data both at source and post-extraction to create analytical products * Work hand-in-hand with data analysts & data scientists to ready diverse data sources for analytics work * Liaise with business and operational stakeholders and customers to understand business needs, metrics, and goals and objectives. Translate and map user requirements to underlying data sources and develop plans for how those data sources can be extracted * Work with data scientists, analysts, architects, and business stakeholders to develop thorough documentation for data sources and pipelines (e.g. data dictionaries, flow models, etc) Qualifications * Bachelor's degree in an information technology related field is required, Master's degree is preferred. * Three (3) years of related experience is required * Thorough working knowledge of at least two analytical programming languages (R, Python, Scala, SQL) * Working knowledge of code repositories & version control (Git) * Basic working knowledge at least one BI/visualization tool (Qlik, Tableau, Power BI) * Technical and business domain-focused customer experience * A Security + certification is required within 90 days of higher * An active DoD Secret Clearance or higher is required * Selected candidate must pass a background investigation Desired Skills * Experience working with Cybersecurity / RMF * Knowledge of advanced analytics principals (statistical modeling, machine learning, AI) * Experience building/maintaining/automating dashboards for users * Military background a plus 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: $80,000.00 - $125,000.00 Refer & Earn: Employee Referral Bonus Eligibility โ€ข 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/ .