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Entry Level Data Engineering Jobs in Gaithersburg, MD

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Entry Level Data Engineering information

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How much do entry level data engineering jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for entry level data engineering in Gaithersburg, MD is $21.87, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $23.65 per hour, depending on experience, location, and employer.

What is an entry level data engineer?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an entry level data engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

What are the key skills and qualifications needed to thrive as an entry level data engineer?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Are entry level data engineers still in demand?

Entry level data engineers are in high demand due to the increasing reliance on data-driven decision making across industries. Skills in SQL, Python, cloud platforms, and data pipeline tools like Apache Spark are valuable for these roles, which often offer strong job growth prospects.

What does an entry level data engineer do?

An entry level data engineer designs, builds, and maintains data pipelines and infrastructure to support data collection, storage, and processing. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making. This role often involves collaborating with data scientists and analysts to optimize data workflows and improve data quality.

What are the most commonly searched types of Data Engineering jobs in Gaithersburg, MD?

The most popular types of Data Engineering jobs in Gaithersburg, MD are:

What are popular job titles related to Entry Level Data Engineering jobs in Gaithersburg, MD?

For Entry Level Data Engineering jobs in Gaithersburg, MD, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Engineering jobs in Gaithersburg, MD look for?

The top searched job categories for Entry Level Data Engineering jobs in Gaithersburg, MD are:

What cities near Gaithersburg, MD are hiring for Entry Level Data Engineering jobs?

Cities near Gaithersburg, MD with the most Entry Level Data Engineering job openings:

Infographic showing various Entry Level Data Engineering job openings in Gaithersburg, MD as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $45,485 per year, or $21.9 per hour.

Entry-Level Data Engineer / Data Scientist

The Prospective Group (TPG)

Washington, DC • On-site

$90 - $110/hr

Other

Medical, Dental, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

TPG is looking for highly skilled, self-motivated individuals who believe in providing customers with premium-quality professional support. We need people who have technical expertise, managerial skills, and leadership qualities, and who demonstrate a willingness to go the extra mile for their clients.

We truly value our employees and offer a comprehensive benefits package designed to meet the needs of each individual.

From the first day of employment with TPG, employees are eligible for coverage under most plans and are encouraged to participate in any, or all, of our benefit programs:
Work/Life Balance: Minimum three weeks PTO (combined vacation and sick leave) and all federal holidays
Insurance: Medical, Dental, Life, Disability
401k: 4% Company match
Flexible Spending Accounts: Transportation, Childcare, Medical Expenses
Annual Bonuses: Based on employee and company performance
Continuing Education: To enhance job related skills and promote career development

Location: Washington, DC

Remote Status: Hybrid

Job Id:471

# of Openings:1

Clearance required: Secret
The Prospective Group (TPG) is seeking a motivated, recent graduate to join our team as an Entry-Level Data Engineer / Data Scientist. This role is ideal for someone with a strong foundation in data analytics, statistical modeling, and programming who is eager to apply academic and project experience to real-world business problems. The candidate will support data pipeline development, statistical analysis, and visualization efforts across the organization.

Key Responsibilities:
  • Assist in building, cleaning, and maintaining large-scale datasets for analysis
  • Develop and support data pipelines and automated reporting processes
  • Conduct statistical and quantitative analysis to support business decision-making
  • Build dashboards and visualizations to communicate findings to stakeholders
  • Collaborate with cross-functional teams on analytics and reporting projects
  • Support ad hoc data requests and contribute to process improvement initiatives
  • Bachelor's degree in Data Analytics, Computer Science, or related field
  • Proficiency in SQL and at least one programming language (Python, Java, or R)
  • Experience with Excel and data visualization tools
  • Familiarity with version control systems (GitHub/GitLab)
  • Strong analytical, problem-solving, and communication skills
  • Ability to work both independently and collaboratively in a team environment
Preferred Qualifications:
  • Experience with statistical/regression modeling or predictive analytics
  • Coursework or project experience in data structures, algorithms, or big data analytics
  • Familiarity with Jupyter Notebook or RStudio
Position Pay Range:

$90,000 - $110,000 USD

The Prospective Group (TPG) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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