Junior Data Engineer

IdeaCrew is currently seeking junior and mid-level Data Engineers to join our innovative, hard-working team as we disrupt healthcare technology.

As a member of our Analytics team, you will collaborate closely with data scientists, subject matter experts, business analysts, system architects, UI/UX designers, SOA and Ruby on Rails (RoR) developers, DBAs, testers, and other stakeholders to design and implement impactful analytics solutions.

A Data Engineer for IdeaCrew will

• Design, develop, maintain, and improve data pipelines to collect, process, and transform data from disparate sources.
• Perform exploratory data analysis to understand data patterns and trends.
• Assist in the training and evaluation of machine learning models in consultation with stakeholders, SMEs, and other data scientists; help build predictive and prescriptive analytics.
• Design technical architectures and infrastructure components.
• Visualization and Reporting: Create clear and informative data visualizations to communicate findings effectively. Assist in generating reports and dashboards to present analytical results to stakeholders.
• Implement data quality checks and validation processes to ensure the accuracy and reliability of our data.
• 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. Help institute best practices for the data team.
• Develop and maintain technical and process documentation such as Data dictionaries, ERDs, Model definitions, Data governance policies, etc.
• Supporting and actively sharing knowledge with other Engineers, including across teams and products, as appropriate.

Desired Skills & Expertise

• Bachelor’s degree in Computer Science, Information Systems, or a related field; equivalent professional experience will also be considered
• 2+ years of hands-on experience with Python for data processing, automation, or application development
• Strong understanding of Agile software development methodologies and experience working across the development lifecycle—from requirements gathering to deployment
• Solid experience with relational databases such as PostgreSQL and Oracle
• Familiarity with NoSQL databases such as MongoDB or CouchDB is preferred
• Experience working on Linux-based platforms, including basic shell scripting and deployment tasks, is a plus
• Exposure to building or consuming RESTful APIs and working with data formats such as XML, XSD, and JSON
• Strong problem-solving skills and ability to work both independently and in collaborative, cross-functional teams
• Experience with version control systems (e.g., Git)
• Familiarity with ETL processes, data pipelines, and data modeling concepts
• Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus
• Good communication skills and a proactive mindset to learn and adapt in a dynamic environment