1

Full Stack Data Engineer Jobs in Maryland (NOW HIRING)

$250/hr

Full Stack Developer (Backend Focused) Location: Baltimore, MD - Hybrid Duration: 6 month contract ... Create APIs and services from requirements or data models. * Understand and modernize existing ...

Java Full Stack Developer

Rockville, MD · On-site

$53.50 - $69/hr

The Java Full Stack Developer will collaborate with developers, architects, DevOps engineers ... Develop, optimize, and support database schemas, SQL queries, data access layers, and integrations ...

Java Full Stack Developer

Rockville, MD · On-site

$53.50 - $69/hr

The Java Full Stack Developer will collaborate with developers, architects, DevOps engineers ... Develop, optimize, and support database schemas, SQL queries, data access layers, and integrations ...

Full-Stack Engineer

Bethesda, MD · On-site

$150 - $200/hr

The Opportunity As a Full-Stack Engineer you'll report to our newly hired Principal Engineer and ... You understand what your code does: data modeling, HTTP, state, async behavior, why the query is ...

Showing results 41-60

Full Stack Data Engineer information

See Maryland salary details

$43.2K

$130.8K

$184.9K

How much do full stack data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for full stack data engineer in Maryland is $130,800.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $153,300.00 per year, depending on experience, location, and employer.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What are the key skills and qualifications needed to thrive as a full stack data engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Full Stack Data Engineer jobs in Maryland?

For Full Stack Data Engineer jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Engineer jobs in Maryland look for?

The top searched job categories for Full Stack Data Engineer jobs in Maryland are:

What cities in Maryland are hiring for Full Stack Data Engineer jobs?

Cities in Maryland with the most Full Stack Data Engineer job openings:

Infographic showing various Full Stack Data Engineer job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $130,800 per year, or $62.9 per hour.

Full Stack Developer

Suitland, MD • On-site

Accenture Federal Services
IT Services • 10K+ employees

Full-time

Re-posted 21 hours ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 501 rated business services


Job description

Job Description: 

We are seeking a talented and motivated Full Stack Developer to join our team. In this role, you will be responsible for building and maintaining scalable, user-friendly web applications. You will work across the entire stack, from developing robust backend systems to creating intuitive and interactive user interfaces. This is a fantastic opportunity to work in a collaborative environment, leveraging modern tools and technologies to deliver impactful solutions.

Key Responsibilities:
  • Backend Development Fundamentals: Design, develop, and maintain server-side code and application logic using frameworks such as Python, Flask, Django, or FastAPI.
  • Frontend & UI Basics: Build responsive and interactive user interfaces for web applications using technologies such as JavaScript, HTML/CSS, React, or Vue.js.
  • Data Connections & APIs: Develop and manage data integrations by building or consuming APIs (e.g., REST APIs, GraphQL) and working with databases like SQL, PostgreSQL, or JSON data structures.
  • Cloud Application Exposure: Develop and deploy web applications in cloud environments (e.g., AWS, Azure, or Google Cloud), with an understanding of hosting, deployment, and support practices.
  • Development Workflows & Collaboration: Utilize version control systems like Git and platforms such as GitHub or GitLab to collaborate effectively with team members. Follow Agile development methodologies and contribute to team processes using tools like Jira and Confluence.
Nice to Have:
  • Enterprise Integrations & Portals: Familiarity with or interest in learning enterprise collaboration platforms and customizations, such as SharePoint, SharePoint Framework (SPFx), or the Microsoft Power Platform.
  • Data Presentation: Exposure to or interest in presenting data clearly through tools like Chart.js, basic dashboard design, or Power BI.
Qualifications:
  • 2 years of experience as a Full Stack Developer or in a similar role.
  • Proficiency in backend development technologies and frameworks such as Python, Flask, Django, or FastAPI.
  • Hands-on experience with frontend web development using JavaScript, HTML/CSS, and frameworks such as React or Vue.js.
  • Strong understanding of database systems and API development, including REST APIs, GraphQL, and experience with SQL, PostgreSQL, or similar.
  • Knowledge of cloud platforms (e.g., AWS, Azure, or Google Cloud) and familiarity with deploying and managing web applications in a cloud environment.
  • Experience using version control systems (e.g., Git) and collaborative development tools like GitHub/GitLab and Jira.
  • Strong problem-solving skills and the ability to work effectively in a team-oriented environment.
Clearance:
  • An active TS/SCI federal security clearance is required


#LI-Defense #clearancejobs


What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom