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Data Engineer Jobs in Manchester, MD (NOW HIRING)

First Soft Solutions

Sr Kafka Developer

Owings Mills, MD · On-site

$50.50 - $65.50/hr

Job title KAFKA Developer Job summary: * Create Kafka SDS document and Kafka flow diagrams ... Develop Kafka Producer Microservices to publish the data to topics. * Develop stream processing ...

Chenega Corporation

Chief Data Officer

Street, MD · On-site

$150 - $200/hr

Design and implement digital engineering infrastructure, leveraging artificial intelligence (AI), machine learning (ML), and data science methodologies to transform large volumes of experimental ...

MDAEdge

Lead PySpark Developer

Owings Mills, MD · On-site

$56.25 - $73.75/hr

MDAEdge is seeking a Lead PySpark Developer to spearhead the design and deployment of big data solutions. The role involves collaborating with various teams to optimize ETL pipelines and ensure data ...

R2 Technologies Corporation

Data Architect V

Owings Mills, MD · On-site

$61.25 - $78.75/hr

... programming in Python or Java -create strategy around data - single source of truth for data - a set of applications that are owners of enterprise data - identify blueprint how should data be managed ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Manchester, MD

Data Engineer information

See Manchester, MD salary details

$42.3K

$123.3K

$168.7K

How much do data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer in Manchester, MD is $123,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,800.00 and $130,700.00 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 Manchester, MD?

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

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Manchester, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,267 per year, or $59.3 per hour.

Data Management Project Engineer III with Security Clearance

Deloitte

Baltimore, MD • On-site

$110K - $132K/yr

Other

Posted 28 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

As a Data Management Engineer III, you will design, build, and support automation solutions that help improve mission outcomes across complex environments. This role spans scripting, software development, robotic process automation, agentic artificial intelligence (AI) workflows, and systems integration, with a focus on selecting the right technology for each use case. The ideal candidate brings hands-on engineering experience, sound technical judgment, and the ability to deliver secure, scalable solutions that reduce manual effort and increase operational efficiency. Work you'll do As a PROJECT - Data Management Engineer III on the team, you will be responsible for... * Designing and developing automation solutions across scripting, software development, robotic process automation (RPA), application programming interface (API) integrations, user interface development, and agentic AI workflows
* Evaluating automation opportunities and recommending solution designs based on business needs, system constraints, and program requirements
* Building secure automation solutions, test suites, and technical documentation that support deployment, maintenance, and operational resilience
* Maintaining and enhancing an automation portfolio by monitoring performance, troubleshooting issues, applying updates, and refactoring solutions as platforms and requirements evolve
* Using AI-assisted development tools and modern engineering practices to accelerate delivery, improve quality, and strengthen team automation capabilities
A successful candidate would possess these skills: * Ability to work independently and collaborate as part of a team
* Effective written and verbal communication skills
* Meticulous attention to detail and quality of work product
* Ability to build and sustain professional relationships
* Ability to lead projects or workstreams
* Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
* Strong interpersonal skills and professional demeanor
* Ability to meet deadlines
* Ability to provide clear guidance to others
The team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals. Qualifications Required: * Bachelor's degree
* 4+ years of experience in application development using test-driven development and Python
* 4+ years of experience in machine learning, advanced statistical analysis and modeling, and Tableau
* Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with polygraph
* Ability to work onsite in Annapolis Junction, Maryland
* Ability to travel 10-25%, on average, based on the work you do and the clients and industries/sectors you serve.
* Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred: * Experience with software development life cycle (SDLC)
* Experience with UiPath or another enterprise robotic process automation platform
* Experience with application programming interface (API) integrations
* Experience with continuous integration/continuous deployment (CI/CD) pipelines
* Experience with PowerShell scripting
* Experience preparing technical documentation for security review or Authority to Operate (ATO) processes
For individuals assigned and/or hired to work in Maryland, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Maryland and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,800 to $171,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

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