Hart, Inc.→
Data Engineering Intern at Hart, Inc. in Remote
InternshipRemoteRemote
Skills
database systemssqlpythonjavadata structuresalgorithmsetl processesdata warehousingmicrosoft office suiteanalytical mindset
Job Description
Summary: Hart, Inc. is a company founded in 2012 in Orange County, California, dedicated to enhancing the healthcare system through innovative data management software. The Data Engineering Intern will work closely with the data team to support the integration, transformation, and management of healthcare data, gaining hands-on experience in data engineering while contributing to technology solutions that improve patient outcomes.
Responsibilities:
- Support the development and maintenance of data pipelines for healthcare information
- Assist in designing and implementing data integration solutions
- Help optimize data storage and retrieval processes
- Participate in data quality assurance and validation
- Contribute to documentation of data flows and processes
- Work with various healthcare data formats and standards
- Assist in developing ETL (Extract, Transform, Load) processes
- Support data security and privacy compliance efforts
- Document and propose process improvements for data management workflows
Required Qualifications:
- Currently pursuing a Bachelor's degree in Computer Science, Data Science, Information Systems, or related field
- Strong foundation in database systems and SQL
- Basic programming experience in Python, Java, or similar languages
- Understanding of data structures and algorithms
- Familiarity with ETL processes and data warehousing concepts
- Strong analytical mindset and problem-solving skills
- Excellent written and verbal communication skills
- Proficient in Microsoft Office Suite
- Ability to work independently and as part of a team
- Detail-oriented with strong organizational skills
Preferred Qualifications:
- Experience with healthcare data formats (HL7, FHIR, etc.)
- Knowledge of big data technologies (Hadoop, Spark, etc.)
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Understanding of data privacy regulations (HIPAA)
- Experience with data visualization tools
- Previous coursework or projects in data engineering
- Version control system experience (Git)
Required Skills: Database systems, SQL, Python, Java, Data structures, Algorithms, ETL processes, Data warehousing, Microsoft Office Suite, Analytical mindset