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Data Engineer Jobs in Silver Spring, MD (NOW HIRING)

Altus Consulting Corp

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Altus Consulting is seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure that provide ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Analytica is seeking Data Engineers across multiple experience levels-from junior to senior-to join our growing team and support the design and development of scalable data platforms and analytics ...

Altus Consulting Corp

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Altus Consulting is seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure that provide ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Analytica is seeking Data Engineers across multiple experience levels--from junior to senior--to join our growing team and support the design and development of scalable data platforms and analytics ...

Bridge Core (BCore)

Data Engineer

Herndon, VA · Hybrid

$117K - $141K/yr

Data Engineer Herndon, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence ...

VTG

Data Engineer

Chantilly, VA

$118K - $142K/yr

Overview We are seeking a Palantir Data Engineer leverages advanced Python skills within a small team to develop and implement data transformation pipelines in Palantir's environment. The Data ...

Central Intelligence Agency

Data Engineer

Washington, DC · On-site +1

$74K - $156K/yr

Summary DDI Data Engineers solve critical data challenges by building optimal data pipelines, analyzing and transforming data, and delivering data to systems to advance CIA's intelligence mission.

KDA Consulting Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

KDA Consulting Inc. is seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting mission-critical programs within the Intelligence ...

KDA Consulting Inc

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

KDA Consulting Inc. is seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting mission-critical programs within the Intelligence ...

KDA Consulting Inc

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

KDA Consulting Inc. is seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting mission-critical programs within the Intelligence ...

Booz Allen Hamilton

Data Engineer

Fort George G Meade, MD · Hybrid

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means thatthere'smore structured and unstructured data available today than ever ...

Andromeda Systems Incorporated

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

They are seeking a highly-skilled Data Engineer to design and optimize data pipelines and cloud-based systems that support analytics and operational applications. Responsibilities : • Architect ...

ProSidian Consulting

Data Engineer

Alexandria, VA · Hybrid

$122K - $147K/yr

We seek Data Engineer | Workforce Planning & Strategic Human Capital Analytics - Training Analytics & Optimization [NSF0038038] candidates with relevant Government And Public Services Sector ...

VivSoft Technologies LLC

Data Engineer

Herndon, VA · On-site +1

$117K - $141K/yr

Data Engineer Location: Remote, USA Clearance: Top-Secret Type: Full-time, W2About VivSoft We are a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and ...

VivSoft Technologies

Data Engineer

Herndon, VA · Remote

$117K - $140K/yr

Data Engineer Location: Remote, USA Clearance: Top-Secret Type: Full-time, W2 About VivSoft We are a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and ...

Bridge Core (BCore)

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Overview Data Engineer Herndon, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable ...

KDA Consulting Inc

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

KDA Consulting Inc. is seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting mission-critical programs within the Intelligence ...

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All JobsData Engineer JobsData Engineer Jobs in Silver Spring, MD

Data Engineer information

See Silver Spring, MD salary details

$45.9K

$133.7K

$182.9K

How much do data engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data engineer in Silver Spring, MD is $133,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,700.00 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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 are Data Engineers?

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.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Silver Spring, MD? The most popular types of Data Engineer jobs in Silver Spring, MD are:
What are popular job titles related to Data Engineer jobs in Silver Spring, MD? For Data Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Silver Spring, MD look for? The top searched job categories for Data Engineer jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Data Engineer jobs? Cities near Silver Spring, MD with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Silver Spring, MD as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $133,688 per year, or $64.3 per hour.
Data Engineer

Data Engineer

Altus Consulting Corp

Herndon, VA • On-site

$117K - $141K/yr

Full-time

Posted 7 days ago

Job description

Altus Consulting is seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure that provide reliable and high-quality data for our clients' analytics needs. You will leverage your understanding of data engineering principles, best practices, and technologies to deliver efficient and scalable solutions.
Responsibilities:
  • Design and develop data pipelines using industry-standard tools and technologies (e.g., Apache Spark, Kafka, Airflow).
  • Extract, transform, and load (ETL) data from various sources into data warehouses and lakes.
  • Develop and maintain data quality checks and monitoring processes.
  • Optimize data pipelines for performance and scalability.
  • Collaborate with data scientists and analysts to understand their needs and deliver data that meets their requirements.
  • Document data pipelines and processes effectively.
  • Stay up-to-date with the latest advancements in data engineering technologies and trends.

Preferred Skills:
  • Strong programming skills (Python, Java, Scala).
  • Experience with Big Data technologies (Hadoop, Spark).
  • Experience with Cloud platforms (AWS, Azure, GCP).
  • Familiarity with data warehousing and data lake technologies.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Ability to work independently and as part of a team.

Basic Qualifications:
  • Active TS/SCI with poly clearance is required.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (preferred).
  • 2+ years of experience in data engineering or a related role.
  • Understanding of data engineering principles and best practices.

Disclaimer:
The information provided in this job description is accurate and truthful to the best of our knowledge. However, it is not intended to be a contract, and we reserve the right to modify the job description at any time.
Altus Consulting is dedicated to diversity and inclusion, building a work environment where everyone feels respected and valued. We firmly believe in equal opportunity, guaranteeing fair and unbiased treatment for all individuals in all aspects of employment, regardless of race, color, religion, national origin, gender, sexual orientation, gender identity, pregnancy, childbirth or related medical conditions, age, protected veteran status, or disability status. We oppose discrimination in any form, and our commitment is evident in every interaction.

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