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Entry Level Data Engineering Apprenticeship Jobs

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world's best collection of data on mobile and fixed internet ...

New

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world's best collection of data on mobile and fixed internet ...

New

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

Data Engineer I

Washington, DC · On-site +1

$85K/yr

About the Role We're hiring an entry-level Data Engineer to join our Data Engineering team. You'll take ownership of building reliable ELT/ETL pipelines and strong analytical data models using dbt.

* Work closely with engineering and marketing teams to identify and answer important product ... Collaborate closely with data analysts, data engineers, and business and project stakeholders to ...

Entry Level Data Scientiest

Los Angeles, CA · On-site

$18 - $24/hr

Identify valuable data sources and automate collection processes * Undertake preprocessing of ... Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information ...

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Entry Level Data Engineering Apprenticeship information

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$10

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

As of Aug 8, 2026, the average hourly pay for entry level data engineering apprenticeship in the United States is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Data Engineering Apprenticeship jobs? The most popular types of Data Engineering Apprenticeship jobs are:

Entry-Level Data Engineer / Data Scientist

The Prospective Group (TPG)

Washington, DC • On-site

$90K - $110K/yr

Full-time

Posted 3 days ago

New


Job description

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
Minimum Requirements:
  • 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
  • Exposure to PCA, KPI development, or dashboard design
  • 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.