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Data Engineer Jobs in Chevy Chase, MD (NOW HIRING)

IT America Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Data Engineer Location: Mclean, VA Duration: Long term contract Note: Looking for Ex-Capital One Employee / Contractor About the Role: We are seeking an experienced Data Engineer to join our team ...

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 ...

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.

GDIT

Data Engineer

Falls Church, VA · Hybrid

$81K - $105K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Governance, Python Software Development, SQL Query Development, Unstructured Data Certifications: None Experience: 2 + years of ...

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 ...

Analytica

Data Engineer

Bethesda, MD · On-site

$122K - $147K/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 ...

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 ...

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 ...

Accenture Federal Services

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

The Data Engineer will design, build, and maintain the core client data infrastructure and pipelines necessary to ingest, process, store, and transform data for various consumers. Develop and operate ...

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 ...

Systech Federal

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

We are seeking a skilled, detail-oriented Data Engineer with expertise in Python, SQL, and Palantir (or other ETL platforms) to extract, transform, and load structured and unstructured data from ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

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

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

R0245613 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available today ...

ExpediteInfoTech, Inc.

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Data Engineer Client: MD State Reference# 71 Number of Positions: Multiple Location: Primary place of performance is HYBRID with 40% onsite requirement in Baltimore City, MD. One week per month ...

Capital Technology Group

Data Engineer

Silver Spring, MD · On-site

$118K - $142K/yr

The Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and technologies, assessing their risks and benefits to deliver exceptional value to our clients. You Will ...

AaraTechnologies Inc

DATA ENGINEER

Washington, DC · On-site

$129K - $155K/yr

Data Engineer Healthcare (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a motivated Data Engineer Healthcare (2-3 years experience) to support healthcare data ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Reston, VA · On-site

$77K - $176K/yr

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

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Annandale, VA · On-site

$77K - $176K/yr

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

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Chevy Chase, MD

Data Engineer information

See Chevy Chase, MD salary details

$47K

$136.9K

$187.4K

How much do data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data engineer in Chevy Chase, MD is $136,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $145,100.00 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.
More about Data Engineer jobs

What job categories do people searching Data Engineer jobs in Chevy Chase, MD look for?

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Chevy Chase, MD as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $136,925 per year, or $65.8 per hour.

Data Engineer

IT America Inc

Mclean, VA • On-site

$115K - $139K/yr

Contractor

Re-posted 29 days ago

Job description

Position: Data Engineer

Location: Mclean, VA

Duration: Long term contract
Note: Looking for Ex-Capital One Employee / Contractor

About the Role:

We are seeking an experienced Data Engineer to join our team supporting Capital One. The ideal candidate will have a strong background in building scalable data pipelines, modern cloud data platforms, and working with large-scale financial data. This role involves working closely with Capital One’s data, analytics, and technology teams to design, implement, and optimize data solutions that enable advanced analytics and business insights.

Key Responsibilities:

  • Design, develop, and maintain robust, scalable, and secure data pipelines for Capital One applications.
  • Work with structured and unstructured data across cloud and on-premises environments.
  • Implement data ingestion, transformation, and integration processes using modern ETL/ELT frameworks.
  • Collaborate with data scientists, analysts, and product teams to enable data-driven decision-making.
  • Ensure data quality, governance, and compliance with Capital One and regulatory standards.
  • Optimize performance of large-scale data pipelines and storage solutions.
  • Work in Agile teams, following CI/CD and DevOps best practices.

Required Skills & Experience:

  • Strong experience in Data Engineering with hands-on development of ETL/ELT workflows.
  • Expertise in Python, SQL, and Spark (PySpark/Scala).
  • Proficiency in AWS Cloud Services (S3, Redshift, EMR, Glue, Lambda, etc.).
  • Experience with Snowflake or other cloud-based data warehouses.
  • Knowledge of data modeling, data lakes, and data warehouse design.
  • Experience with Airflow, DBT, or similar orchestration tools.
  • Strong understanding of CI/CD pipelines, Git, and DevOps practices.
  • Prior exposure to financial services, banking, or credit domain is highly desirable.

Nice-to-Have Skills:

  • Experience with Capital One-specific data platforms and tooling.
  • Exposure to real-time streaming technologies (Kafka, Kinesis).
  • Familiarity with machine learning pipelines.
  • Strong problem-solving and communication skills.

Education:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field.