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Trainee Data Engineer Python Jobs in Washington, DC

PlanIT Group, LLC

Data Engineer - Python/

Washington, DC · On-site

$129K - $155K/yr

... a Data Engineer or similar role. • Strong programming skills in Python and expertise in PySpark for both batch and streaming data processing. • Hands-on experience with ETL tools and processes ...

Capital One

Lead Data Engineer (Python, AWS)

Mclean, VA · On-site

$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 ...

Dexian DISYS

Data Engineer PYTHON/SQL

Washington, DC · On-site

$129K - $155K/yr

Bachelor's Degree in Computer Science, Data Engineering, Information Systems, or an equivalent combination of education, training, and experience. * Strong proficiency in SQL and Python. * Experience ...

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Trainee Data Engineer Python information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do trainee data engineer python jobs pay per year?

As of Aug 27, 2026, the average yearly pay for trainee data engineer python in Washington, DC is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

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 the most commonly searched types of Data Engineer Python jobs in Washington, DC?

The most popular types of Data Engineer Python jobs in Washington, DC are:

What are popular job titles related to Trainee Data Engineer Python jobs in Washington, DC?

For Trainee Data Engineer Python jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Trainee Data Engineer Python jobs in Washington, DC look for?

The top searched job categories for Trainee Data Engineer Python jobs in Washington, DC are:

Trainee Data Engineer Python jobs near you

Data Engineer / Python & SQL Developer

TalentBridgeX

Washington, DC • Remote

$57 - $78.50/hr

Full-time

Posted 8 days ago

Job description

Data Engineer / Python & SQL Developer

Our client is seeking a highly qualified Data Engineer / Python & SQL Developer to support the design, development, and deployment of data engineering and ETL solutions in a mission-focused environment. This role requires advanced expertise in Python and SQL, with demonstrated experience developing scalable data pipelines, cloud-based integrations, and backend data processing solutions using AWS services. The ideal candidate will also bring strong database design capabilities, technical documentation skills, and experience working within Agile delivery environments.

Location: Remote (Preference for Dayton, OH or Washington, DC Metro Area)

Key Responsibilities:

  • Design, develop, enhance, and maintain data pipelines, ETL workflows, and backend data processing solutions using Python and SQL
  • Implement and support cloud-based data engineering solutions leveraging AWS Lambda, AWS Glue, Amazon S3, and related AWS services
  • Design and maintain database schemas, tables, data models, and stored procedures
  • Apply database design best practices, including normalization, performance optimization, data integrity, and scalable architecture
  • Analyze business and technical requirements and translate them into secure, scalable, and maintainable data solutions
  • Develop and maintain technical documentation, including solution documentation, interface specifications, data flow diagrams, and operational procedures
  • Participate in Agile ceremonies and delivery activities, including backlog management, sprint planning, status tracking, and issue resolution using Jira
  • Troubleshoot and resolve data quality, integration, ETL, and performance issues across the solution environment
  • Test ETL pipelines and data workflows to validate functionality, reliability, and data quality
  • Perform peer code reviews for other Data Engineers and provide technical guidance as appropriate
  • Collaborate with developers, architects, analysts, program leadership, and other cross-functional stakeholders to support successful delivery outcomes

Required Skills:

Experience:

  • Proven advanced or expert-level experience developing solutions using Python and SQL
  • Hands-on experience designing, developing, and maintaining ETL pipelines and data workflows
  • Experience with AWS Lambda, AWS Glue, Amazon S3, and related cloud data integration technologies
  • Experience with database design, schema development, data modeling, table design, and stored procedure scripting
  • Experience troubleshooting data quality, integration, and performance issues
  • Experience testing ETL pipelines and conducting code reviews
  • Consultant/Senior Consultant or USDC/PDM/Specialist equivalent experience

Skills:

  • Strong understanding of database design and data architecture best practices
  • Strong Python development and SQL scripting capabilities
  • Ability to design scalable, maintainable, and secure data engineering solutions
  • Ability to produce clear and structured technical documentation for development and operational use
  • Strong analytical, troubleshooting, problem-solving, and communication skills
  • Ability to work independently and collaboratively in a fast-paced, deadline-driven environment

Desired:

  • Prior experience supporting the Department of Defense (DoD) or U.S. Air Force programs
  • Experience working in complex enterprise data environments with multiple upstream and downstream integrations
  • Experience supporting mission-oriented technology programs
  • Experience working within secure or controlled government environments

Credentials / Clearance:

  • Ability to meet applicable government security and access requirements