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Trainee Data Engineer Python Jobs in Virginia (NOW HIRING)

Lead Data Engineer (Python, AWS) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative ...

Lead Data Engineer (Python, AWS)

Mclean, VA

$115K - $139K/yr

Lead Data Engineer (Python, AWS) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative ...

Lead Data Engineer (Python, AWS)

Richmond, VA ยท On-site

$113K - $136K/yr

Lead Data Engineer (Python, AWS) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative ...

AWS Data Engineer - Reston, VA(Onsite)

Reston, VA ยท On-site

$119K - $143K/yr

Reston,VA (Onsite) Qualifications (Data Engineer/ Python Developer) * 10+ years hands-on Python development experience for big data application. * Extensive working experience in implementing ...

AWS Data Engineer - Reston, VA(Onsite)

Reston, VA ยท On-site

$119K - $143K/yr

Reston,VA (Onsite) Qualifications (Data Engineer/ Python Developer) * 10+ years hands-on Python development experience for big data application. * Extensive working experience in implementing ...

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Trainee Data Engineer Python information

What is the difference between Trainee Data Engineer Python vs Data Analyst?

AspectTrainee Data Engineer PythonData Analyst
Required SkillsPython, SQL, basic data engineering conceptsExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness units, reporting teams
CertificationsPython certifications, data engineering coursesExcel, Tableau, Power BI certifications
Industry UsageBuilding data pipelines, ETL processesData analysis, reporting, insights

While both roles involve working with data, a Trainee Data Engineer Python focuses on developing data pipelines and infrastructure using Python, whereas a Data Analyst primarily interprets data to generate reports and insights. The former requires programming skills and knowledge of data engineering tools, while the latter emphasizes data visualization and business understanding.

What are popular job titles related to Trainee Data Engineer Python jobs in Virginia? For Trainee Data Engineer Python jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Trainee Data Engineer Python jobs in Virginia look for? The top searched job categories for Trainee Data Engineer Python jobs in Virginia are:
What cities in Virginia are hiring for Trainee Data Engineer Python jobs? Cities in Virginia with the most Trainee Data Engineer Python job openings:
Infographic showing various Trainee Data Engineer Python job openings in Virginia as of June 2026, with employment types broken down into 1% As Needed, 97% Full Time, 1% Part Time, and 1% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data engineer/Python developer

Pyramid Consulting, Inc.

Mclean, VA โ€ข On-site

$70 - $75/hr

Other

Medical, Dental, Vision, Retirement

Posted 5 days ago


Job description

Immediate need for a talented Data engineer/Python developer . This is a 12+months contract opportunity with long-term potential and is located in Mclean, VA(Onsite). Please review the job description below and contact me ASAP if you are interested.
Job ID:26-23558
Pay Range: $70 - $75/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:

  • Design, build, and maintain scalable Python applications for data processing and analytics.
  • Develop RESTful APIs using Flask or FastAPI.
  • Implement and optimize complex SQL queries and database structures in PostgreSQL.
  • Architect and maintain ETL pipelines using Informatica, ensuring data quality and integrity.
  • Work with large datasets, ensuring efficient data ingestion, transformation, and storage.
  • Develop and optimize data transformation workflows using PySpark.
  • Collaborate with cross-functional teams to define technical requirements and deliver solutions.
  • Troubleshoot and resolve issues in production environments.
  • Mentor junior developers and contribute to best practices.

Key Requirements and Technology Experience:

  • Must have skills: SQL, Python, Data analysis .
  • Bachelor s degree in Computer Science, Engineering, or related field (or equivalent experience).
  • 5+ years of professional experience as a Python developer.
  • 3+ years of experience with PostgreSQL, including database design and performance tuning.
  • 3+ years of experience developing APIs with Flask or FastAPI.
  • Proven experience working with large datasets and data-intensive applications.
  • Experience integrating AI or machine learning models into data pipelines or applications.
  • Familiarity with Python-based machine learning libraries such as scikit-learn, TensorFlow, or
  • PyTorch.
  • 2+ years of experience with data transformation using PySpark, Dask, Polars, etc.
  • Strong understanding of data modeling, data warehousing, and data integration concepts.
  • Experience with version control systems (e.g., Git).
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork abilities.
  • Hands-on experience with Informatica and ETL processes.
  • Experience with cloud platforms.
  • Familiarity with containerization (Docker, Kubernetes).
  • Knowledge of data visualization tools and techniques

Our client is a leading Banking and Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, 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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