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Data Engineer Jobs in Clinton, MD (NOW HIRING)

Accenture Federal Services

Data Engineer

Suitland, MD

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will play a critical role in designing, building, and maintaining our data infrastructure to ensure ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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

Upper Marlboro, MD · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Posted today

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Fairfax, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Posted today

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Silver Spring, MD · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Posted today

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Kensington, MD · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Posted today

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Share 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 ...

ResolveSoft Inc

Be Seen First

Data Engineer

Washington, DC · Remote

$98K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer / Data Project Lead Location: Remote Position Summary The Data Engineer / Data Project Lead provides technical leadership for data management and data engineering activities under the ...

Agelix Consulting

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Data Engineer ROLE SUMMARY: Conducts data migration and data architecture for the BATS Modernization project. PRIMARY RESPONSIBILITIES: * Design and build data pipelines using tools like SSIS. * ...

VTG

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Overview VTG is seeking a skilled Data Engineer with at least 5 years of experience designing, building, and maintaining scalable data pipelines and architectures. The ideal candidate will have ...

Dlapiper

Data Engineer

Washington, DC

$129K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Bigbear.ai

Data Engineer

Washington, DC · On-site

$93K/yr

Overview BigBear.ai is seeking a Data Engineer to conduct design, implement, and operate data management systems for intelligence needs. The successful candidate will design how data will be stored ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Arlington, VA

$141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Q2Impact

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

The Data Engineer supports the J5 data infrastructure underpinning all of these functions, building and maintaining the data pipelines, repositories, and AI-enabled tools that allow analysts and ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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

Mclean, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

CyberMedia Technologies

Data Engineer

Mclean, VA

$115K - $139K/yr

We are seeking to hire a Data Engineer to our team! Client: CTEC develops and delivers innovative customer-centric technologies and solutions that support the Office of Personnel Management's (OPM ...

Woodgrove Solutions LLC

Data Engineer

Vienna, VA · On-site

$90K - $170K/yr

Data Engineer Location: Tysons Corner, VA (Off-Site/Hybrid) Position: Full-Time, Permanent Security Clearance: DoD Secret Clearance Required (Ability to obtain) Experience: 3+ years, $90,000 - $170 ...

Magnus Management Group LLC

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Vision insurance Seeking a Data Engineer responsible for designing, developing, and maintaining scalable enterprise data pipelines supporting advanced fraud analytics. The candidate will manage ...

RIVIDIUM

Data Engineer

Quantico, VA

$123K - $148K/yr

RiVidium Inc. is seeking a Senior Data Engineer to support data-driven decision-making by collecting, transforming, and delivering high-quality data. This role is responsible for designing, building ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Clinton, MD

Data Engineer information

See Clinton, MD salary details

$44.2K

$129K

$176.5K

How much do data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data engineer in Clinton, MD is $128,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,700.00 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.

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 Clinton, MD?

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

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

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

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

The top searched job categories for Data Engineer jobs in Clinton, MD are:

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Clinton, 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 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,976 per year, or $62 per hour.

Data Engineer

Accenture Federal Services

Suitland, MD

$123K - $148K/yr

Full-time

Re-posted 4 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

46th of 491 rated business services

Job description

ob Description: Data Engineer

We are looking for a skilled and passionate Data Engineer to join our team. You will play a critical role in designing, building, and maintaining our data infrastructure to ensure seamless data flow, scalability, and reliability. You will work closely with data scientists, analysts, and other stakeholders to develop efficient data pipelines, manage large datasets, and integrate machine learning models into production environments.

Key Responsibilities:
  • Programming Fundamentals: Write clean, efficient, and scalable code to build and optimize data solutions using programming languages like Python.
  • Data Pipeline Development: Design, build, and orchestrate robust and reliable data workflows using tools such as Apache Airflow, dbt, Prefect, or Dagster.
  • Cloud Platform Familiarity: Work comfortably in cloud environments, with a strong preference for experience in AWS. Experience in GCP or Azure is also highly valued.
  • Database & Querying Skills: Extract, integrate, and ensure the quality of data from various sources using tools and technologies such as SQL, PostgreSQL, Snowflake, Amazon Redshift, or BigQuery.
  • Big Data Processing: Leverage frameworks like Apache Spark, Databricks, or Apache Kafka to process and manage large-scale data workflows with reliability and efficiency.
  • ML Integration / MLOps: Support the implementation, deployment, and scaling of machine learning models in production environments using tools like Amazon SageMaker, MLflow, or Kubeflow.
  • Monitoring & Troubleshooting: Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great Expectations.
  • Collaboration & Documentation: Work closely with data scientists, analysts, and other stakeholders to understand data requirements, communicate solutions, and document processes using tools like Git, Jira, and Confluence.
Qualifications:
  • 2 years of experience as a Data Engineer or similar role.
  • Strong proficiency in Python or other programming languages relevant to data engineering.
  • Any additional experience with any of the following:
    • Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, dbt, Prefect, Dagster).
    • Solid understanding of cloud platforms (AWS strongly preferred; GCP or Azure experience also considered).
    • Expertise in SQL and familiarity with relational and columnar databases (e.g., PostgreSQL, Snowflake, BigQuery).
    • Knowledge of big data processing frameworks (e.g., Apache Spark, Databricks, or Apache Kafka).
    • Familiarity with machine learning workflows and experience implementing MLOps tools (e.g., Amazon SageMaker, MLflow, or Kubeflow) in production environments.
    • Strong troubleshooting skills and experience monitoring data pipelines and system health using tools like Amazon CloudWatch, Datadog, or Great Expectations.
    • Excellent communication skills and a collaborative mindset, with a focus on documentation and best practices.
Preferred Skills:
  • Experience working with large-scale distributed systems.
  • Knowledge of data governance and security best practices.
  • Proven ability to work in cross-functional teams and contribute to problem-solving and innovation.
Clearance:
  • An active TS/SCI federal security clearance is required


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