ZipRecruiter

Log In

1

Data Engineer Jobs in Clinton, MD (NOW HIRING)

KARTHIK CONSULTING, LLC

Data Engineer

Falls Church, VA · On-site

$122K - $146K/yr

Role Summary Karthik Consulting is seeking a talented and driven Data Engineer to join its enterprise data and cloud engineering team Role Overview The Data Engineer will configure and administer ...

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 ...

Tria Federal

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

The Data Engineer will provide hands-on technical support to strengthen data automation, integration, validation, and reporting capabilities that enable operations and contract readiness. This role ...

Booz Allen Hamilton

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, Inc.

Data Engineer

Washington, DC · On-site +1

$77K - $176K/yr

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 ...

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 ...

ManTech International

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

As a Data Engineer, you will support the Internal Revenue Service's mission to combat tax fraud, identity theft, and non-compliance by designing and delivering secure, scalable, and automated data ...

Hatch IT

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

The Data Engineer will work as part of a multidisciplinary team integrating data engineering, advanced analytics, machine learning, and software engineering capabilities into mission-critical ...

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, INC.

Data Engineer

Washington, DC · 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 ...

Hatch IT

Data Engineer

Washington, DC

$129K - $155K/yr

The Data Engineer will work as part of a multidisciplinary team integrating data engineering, advanced analytics, machine learning, and software engineering capabilities into mission-critical ...

Booz Allen Hamilton

Data Engineer

Washington, DC · 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 ...

ManTech

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

As a Data Engineer, you will support the Internal Revenue Service's mission to combat tax fraud, identity theft, and non-compliance by designing and delivering secure, scalable, and automated data ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$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 ...

Humana

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

This position is ideal for an engineer who is passionate about data, eager to learn emerging technologies, and interested in growing their skills in Snowflake, Azure, and modern data engineering ...

New

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 ...

The Maven Group, LLC

Data Engineer

Suitland, MD · On-site

$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 ...

New

The Maven Group, LLC

Data Engineer

Suitland, MD · On-site

$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 ...

New

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 ...

previous pagenext page

Showing results 21-40

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 Sep 12, 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 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 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 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 86% Full Time, 7% Temporary, and 7% Contract. Highlights an 78% In-person, 7% Hybrid, and 15% Remote job distribution, with an average salary of $128,976 per year, or $62 per hour.

Data Engineer

Falls Church, VA • On-site

KARTHIK CONSULTING, LLC
IT Services • 11 - 50 employees
Learn more about KARTHIK CONSULTING, LLCexternal

$122K - $146K/yr

Other

Posted 11 days ago

Job description

Role Summary

Karthik Consulting is seeking a talented and driven Data Engineer to join its enterprise data and cloud engineering team

Role Overview

The Data Engineer will configure and administer enterprise-level data stores, design and maintain ETL/ELT pipelines, and support batch and streaming data transport across the organization's data platforms. This role focuses on building reliable, secure data infrastructure and integrations that support enterprise reporting and analytics needs.

Technical Scope

The engineer will leverage Azure Data Factory, Databricks, Oracle, SQL Server, and Azure Database services to build and sustain enterprise data pipelines, partnering with program and project teams using Azure DevOps and GitHub within an agile delivery model to support Azure Cloud migration efforts.

Key ResponsibilitiesRequired Skills
  • Minimum of five (5) years of professional experience configuring and administering enterprise-level data stores,
  • ETL/ELT methods, and batch and streaming data transport, including API development.
  • Hands-on understanding of data technologies to include, but not limited to, Azure Data Factory, Databricks, Oracle,
    SQL Server, and Azure Database services.
  • Proficiency working within an enterprise data management infrastructure, including Azure Cloud and cloud migration
    efforts.
  • Experience utilizing program and project management tools, such as Azure DevOps and GitHub, to plan, execute, and
    measure projects.
  • Proficiency in agile development methodologies with demonstrated experience working on agile projects.
Preferred Skills & Experience
  • Experience working with CI/CD pipelines and GitHub.
  • Experience developing and executing action plans to ensure security compliance and to respond to findings if they
    occur.
  • Certifications for Azure (AZ-900, DP-900, DP-203)
  • Certifications for Databricks (Data Engineer Associate)
Key Responsibilities
  • Configure and administer enterprise-level data stores supporting ETL/ELT methods and batch and streaming data
    transport.
  • Design, develop, and maintain APIs to support enterprise data integration needs.
  • Leverage Azure Data Factory, Databricks, Oracle, SQL Server, and Azure Database services to build and manage
    enterprise data pipelines.
  • Support enterprise data management infrastructure, including Azure Cloud environments and cloud migration
    initiatives.
  • Utilize Azure DevOps and GitHub to plan, execute, and measure project deliverables.
  • Participate in agile development processes, contributing to sprint planning, execution, and delivery.
  • Develop and execute action plans to maintain security compliance and respond promptly to findings.
QualificationsEducation

Minimum Requirement: Bachelor's degree from an accredited college or university in Computer Science, Engineering, or an applicable technical field.

Core Competencies & Traits
  • Strong analytical and problem-solving skills applied to enterprise data infrastructure and cloud environments.
  • Clear, proactive communication and cross-functional collaboration within agile project teams.
  • Commitment to continuous improvement, security compliance, and staying current with evolving data engineering
    and cloud practices.
#J-18808-Ljbffr

Apply