Junior Data Engineer
Company: Ideacrew
Location: Washington, DC (Remote)
Salary: $100,000 - $120,000 a year
Type: Full-time
Remote: Yes
Posted: 2026-03-27
About this role
Full-Time · Washington, DC / Remote
Posted: March 27, 2026
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 scientist...