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Data Engineer Jobs in Frederick, MD (NOW HIRING)

Data Engineer

Germantown, MD · On-site

$115K - $138K/yr

They are seeking a Data Engineer to build infrastructure and tools for data collection and processing, enabling data access for various use cases and supporting the growth of the company.

Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce TTM in order to fuel Viasat growth. The day-to-day In this Software Engineer ...

Senior Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

We have an exciting opportunity for a Big Data Engineer with our client in Rockville. Responsibilities of the Big Data Engineer: * Analyze system requirements and design responsive solutions

Snowflake Data Engineer

MD · On-site

$100K - $155K/yr

The Snowflake Data Engineer will support Barrow Wise and perform the following duties: * Perform data warehousing and scalability. * Architect, optimize, and secure the cloud data environment that ...

Sr. Data Engineer

Gaithersburg, MD · Remote

$117K - $140K/yr

Connsci is seeking a Senior Data Engineer to join our growing organization in support of one of our government customers. This individual will own the development and delivery of a cloud-based data ...

Sr. Data Engineer

Gaithersburg, MD · On-site

$135K - $175K/yr

Connsci is seeking a Senior Data Engineer to join our growing organization in support of one of our government customers. This individual will own the development and delivery of a cloud-based data ...

Sr. Data Engineer

Gaithersburg, MD · Remote

$123K - $148K/yr

Connsci is seeking a Senior Data Engineer to join our growing organization in support of one of our government customers. This individual will own the development and delivery of a cloud-based data ...

Sr. Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Use big data and cloud technologies to produce production quality code * Engage in performance tuning and scalability engineering * Work with team, peers and management to identify objectives and set ...

Sr. Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Use big data and cloud technologies to produce production quality code * Engage in performance tuning and scalability engineering * Work with team, peers and management to identify objectives and set ...

Claims Data Engineer

MD · On-site

$90K - $150K/yr

The Claims Data Engineer will support Barrow Wise's DHS project and perform the following duties: * Design and implement Medicare Part D Claims systems and is also knowledgeable about other Medicaid ...

Data Engineer - Periscope

Lisbon, MD · On-site

$125K - $151K/yr

You will be part of our global data engineering community, collaborating with data scientists, machine learning engineers, project managers, and industry experts. Together, you will design and ...

Data Engineer AWS - US Citizens

Leesburg, VA · On-site

$120K - $145K/yr

Fracsys Inc is hiring a AWS Data Engineer position. The ideal candidate must have at least 8+ years of industry experience. He or she must be responsible for successful technical delivery of Data ...

Fracsys Inc is hiring a AWS Data Engineer position. The ideal candidate must have at least 8+ years of industry experience. He or she must be responsible for successful technical delivery of Data ...

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Showing results 1-20

Data Engineer information

See Frederick, MD salary details

$44.2K

$129K

$176.5K

How much do data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data engineer in Frederick, MD is $128,973.00, 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.

What are the most commonly searched types of Data Engineer jobs in Frederick, MD?

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

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

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

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

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

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

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

Infographic showing various Data Engineer job openings in Frederick, MD as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $128,973 per year, or $62 per hour.

$116K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Data Engineer 
Employment Type: Full-Time, Mid-level
Department: Business Intelligence
 
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges.
 
CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities.
 
Skills and attributes for success:
-Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.
-Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices.
-Write code to ensure the performance and reliability of data extraction and processing.
-Support continuous process automation for data ingest.
-Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.
-Work with program management and engineers to implement and document complex and evolving requirements.
-Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.
-Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists.
 
 
Qualifications:
-Must be a US Citizen.
-Must be able to obtain a Public Trust Clearance.
-7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.
-Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.
-Proficiency in developing ETL processes, and performing test and validation steps.
-Proficiency to manipulate data (Python, R, SQL, SAS).
-Strong knowledge of big data analysis and storage tools and technologies.
-Strong understanding of the agile principles and ability to apply them.
-Strong understanding of the CI/CD pipelines and ability to apply them.
-Experience with relational database, such as, PostgreSQL.
-Work comfortably in version control systems, such as, Git Repositories.
 
Ideally, you will also have:
-Experience creating and consuming APIs.
-Experience with DHS and knowledge of DHS standards a plus.
-Candidates will be given special consideration for extensive experience with Python.
-Ability to develop visualizations utilizing Tableau or PowerBI.
-Experience in developing Shell scripts on Linux.
-Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.
-Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. 
 
Our Commitment:
Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems.
 
For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.
 
Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come.
 
We care about our employees. Therefore, we offer a comprehensive benefits package:
-Health, Dental, and Vision
-Life Insurance
-401k
-Flexible Spending Account (Health, Dependent Care, and Commuter)
-Paid Time Off and Observance of State/Federal Holidays
 
Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
 
Join our team and become part of government innovation!
 
Explore additional job opportunities with CGS on our Job Board:
https://cgsfederal.com/join-our-team/
 
For more information about CGS please visit: https://www.cgsfederal.com or contact:
Email: [email protected]
 
#CJ
$112,597.33 - $152,810.66 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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