Junior Data Engineer

Washington, District of Columbia, United StatesRemoteFull TimeJunior / Entry-level$100,000–$120,000 /yrPosted 2 months agoVisa sponsorship available

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Role summary

IdeaCrew is seeking a Junior Data Engineer for a full-time role in Washington, DC, with remote options, to join their healthcare technology team. The role involves building and scaling data pipelines using Python and a modern data stack, performing complex analysis with PostgreSQL, and implementing data modeling best practices. Responsibilities include designing technical architectures, creating data quality checks, enforcing data governance, and documenting processes. The ideal candidate will have 3+ years of Python experience, 2+ years of PostgreSQL experience, and familiarity with cloud platforms like AWS, GCP, or Azure.

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 scientists is a plus

### Job Type: Full-Time

#### Salary: $100,000 to $120,000 / year