Junior Data Engineer
IdeaCrew
📍 Washington, District of Columbia, US0💼 Full-time🕐 6/17/2026
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Role overview
IdeaCrew is hiring for the Junior Data Engineer role in Washington, District of Columbia, US. It is full-time, Junior level, in the Tech sector. It was posted 6/17/2026.
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- Role
- Junior Data Engineer
- Company
- IdeaCrew
- Location
- Washington, District of Columbia, US
- Work mode
- On-site
- Employment
- Full-time
- Seniority
- Junior
- Sector
- Tech
- Posted
- 6/17/2026
Description
IdeaCrew is currently seeking junior Data Engineers to join our innovative, hard-working team as we disrupt healthcare technology.
As a member of our Analytics team, you will work with a modern data stack, build scalable data pipelines with python, and support external and internal reporting needs.
A Junior Data Engineer for IdeaCrew will
• Build and scale data pipelines in production environments using a modern data stack.
• Carry out complex analysis utilizing PostgresSQL.
• Implement data modeling best practices to support analytics and reporting needs.
• Design technical architectures and infrastructure components.
• Create automated data and code quality checks.
• Implement and enforce data governance policies and best practices to ensure data security and compliance.
• Work closely with cross-functional teams and stakeholders, including business process owners, analysts, and software engineers, to understand requirements and deliver solutions.
• Develop and maintain technical and process documentation such as data dictionaries, ERDs, data governance policies, etc.
Desired Skills & Expertise
• Bachelor’s degree in Computer Science, Information Systems, or a related field; equivalent professional experience will also be considered.
• 3+ years of hands-on experience with Python for data processing in a production environment.
• 2+ years of experience with PostgreSQL.
• Familiarity with NoSQL databases such as MongoDB or CouchDB is preferred.
• Strong problem-solving skills and ability to work both independently and in collaborative, cross-functional teams.
• Strong understanding of the fundamentals of ETL processes, data pipelines, and data modeling concepts.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) in a production environment.
• Experience with the training and evaluation of machine learning models in consultation with stakeholders, SMEs, and other data scientists is a plus
The market for this role in Washington
TalentyGo lists 6085 similar roles (207 in Washington), 24% remote. Charlie ranks them against your CV, each with a clear score.
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