Junior Data Engineer
Hackajob
Data Science
Washington, DC, USA
USD 100k-120k / year
Posted on Mar 31, 2026
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
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
Junior Data Engineer
Job Type: Full-Time
Salary: $100,000 to $120,000 / year
Full-Time
- Washington, DC / Remote
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.
- 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
