Junior Data Engineer

*hackajob

is collaborating with

IdeaCrew

to connect them with exceptional professionals for this role.*

Junior Data Engineer

Job Type: Full-Time

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

Full-Time

• Washington, DC / Remote

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