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Data Engineer Jobs in Manchester, MD (NOW HIRING)

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 ...

T. Rowe Price

AI FinOps Engineer

Owings Mills, MD · On-site

$150 - $200/hr

This role will sit at the intersection of AI platform engineering, cloud financial operations, data infrastructure, and enterprise governance, helping ensure that AI capabilities are delivered with ...

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 ...

TEKsystems

Systems Engineer

Owings Mills, MD · Hybrid

$50 - $60/hr

... data engineering systems • Monitor, troubleshoot, and optimize the performance and reliability ... engineering platforms Required Technical Experience • Implementation experience designing and ...

TEKsystems

Systems Engineer

Owings Mills, MD · Hybrid

$50 - $60/hr

... data engineering systems • Monitor, troubleshoot, and optimize the performance and reliability ... engineering platforms Required Technical Experience • Implementation experience designing and ...

T Rowe Price

AI FinOps Engineer

Owings Mills, MD

This role will sit at the intersection ofAAI platform engineering, cloud financial operations, data infrastructure, and enterprise governance, helping ensure that AI capabilities are delivered with ...

KCI Technologies Inc.

Project Manager - Data Centers

Sparks, MD · On-site

$49.50 - $66.75/hr

KCI is currently ranked #56 on Engineering News-Record's list of the Top 500 design firms in the nation. KCI BENEFITS INFORMATION We offer a competitive compensation package, family friendly benefits ...

Comtech, LLC

Information / Data Architect

Owings Mills, MD · On-site

$61.25 - $78.75/hr

Qualifications Degree in technical, engineering or related quantitative field with 10+ years of ... Data modeling & solution design experience in OLTP & OLAP environments. Strong analytics ...

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Showing results 41-60

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 Sep 7, 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 84% Full Time, 7% Temporary, and 9% Contract. Highlights an 78% In-person, 7% Hybrid, and 15% Remote job distribution, with an average salary of $123,267 per year, or $59.3 per hour.

Lead PySpark Developer

MDAEdge

Owings Mills, MD • On-site

$56.25 - $73.75/hr

Full-time

Re-posted 10 days ago

Job description

Job Summary:
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 security and governance.
Responsibilities:
• Lead the design, development, and deployment of PySpark-based big data solutions.
• Architect and optimize ETL pipelines for structured and unstructured data.
• Collaborate with clients, data engineers, data scientists, and business teams to provide scalable solutions.
• Optimize Spark performance through partitioning, caching, and tuning.
• Implement best practices in data engineering (CI/CD, version control, unit testing).
• Work with cloud platforms like AWS.
• Ensure data security, governance, and compliance.
• Mentor junior developers and review code for best practices and efficiency.
Qualifications:
Required:
• 7+ years of experience in Amazon Web Services (AWS) cloud computing.
• 10+ years of experience in big data and distributed computing.
• Strong hands-on experience with PySpark, Apache Spark, and Python.
• Strong hands-on experience with SQL and NoSQL databases (DB2, PostgreSQL, Snowflake, etc.).
• Proficiency in data modeling and ETL workflows.
• Proficiency with workflow schedulers like Airflow.
• Hands-on experience with AWS cloud-based data platforms.
• Strong problem-solving skills and ability to lead a team.
Preferred:
• Experience in DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes) is a plus.
• Experience with DBT and AWS Astronomer is a plus.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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