Software/Data Engineer

Responsibilities

• Project tasks include development of software to support harmonization of medical and health data, web-based app development, modeling and simulation, and data streaming applications

Preferred

• Experience with Big Data cloud platforms like Databricks a plus
• Experience with biological and medical data a plus
• Experience with data harmonization and medical data standards like OMOP, FHIR, and HL7 a plus
• Experience with using AWS cloud services for AI and Data Engineering a plus
• Experience building software integrations with AI / ML / LLM models and libraries a plus
• Experience with Retrieval Augmented Generation (RAG) using various source document formats a plus

Benefits

• Comprehensive health, dental, and vision plans
• MIT-funded pension
• Matching 401K
• Paid leave (including vacation, sick, parental, military, etc.)
• Tuition reimbursement and continuing education programs
• Mentorship programs
• A range of work-life balance options
• Glassdoor
• 4.3
• MIT Lincoln Laboratory is a federally funded research and development center chartered to apply advanced technology to problems of national security.
• Lexington, Massachusetts, USA
• http://www.ll.mit.edu
• Late Stage
• Total Funding
• $0.25M
• Key Investors
• Patrick J. McGovern Foundation
• 2023-12-20
• Grant· $0.25M
• Leadership Team
• Israel Soibelman
• Chief Strategy Officer
• Recent News
• Ars Technica - All content
• MIT's virtual violin offers luthiers a new design tool
• 2026-05-05
• Medical Xpress - latest medical and health news stories
• Why some cancer therapies don't work for all patients: A tumor backup survival pathway
• 2026-03-26
• A portable ultrasound sensor may enable earlier detection of breast cancer

Qualifications

• Master's degree in Computer Science or related discipline. In lieu of a master's degree, a bachelor's degree with 3 to 5 years of experience
• Software Design and Development Life-cycle knowledge
• Strong proficiency in Python and related frameworks
• Proficiency with relational databases (PostgreSQL, MySQL) and SQL
• Experience with training, deploying, and/or evaluating AI / ML or data science models
• Experience with data engineering, defining ETL / ELT processes, and using workflow orchestrators
• Experience using version control software, such as git, in a team setting
• Strong problem-solving skills and attention to detail
• Excellent written and verbal communication skills
• Good interpersonal skills and ability to work collaboratively with a team
• Experience working with building and maintaining applications in security-sensitive, regulated enterprise settings
• must be able to obtain and maintain a Secret level DoD security clearance
• U.S. citizenship is required
• Must be able to obtain and maintain a Secret level DoD security clearance
• Experience with Big Data cloud platforms like Databricks a plus
• Experience with biological and medical data a plus
• Experience with data harmonization and medical data standards like OMOP, FHIR, and HL7 a plus
• Experience with using AWS cloud services for AI and Data Engineering a plus
• Experience building software integrations with AI / ML / LLM models and libraries a plus
• Experience with Retrieval Augmented Generation (RAG) using various source document formats a plus
• Master’s degree in Computer Science or related discipline. In lieu of a master’s degree, a bachelor’s degree with 3 to 5 years of experience

Required skills

• AI/ML Model Training, Deployment, and Evaluation, AWS, Application Development in Regulated Enterprise Settings, Data Engineering (ETL/ELT), Databricks, Git, MySQL, PostgreSQL, Python, Retrieval-Augmented Generation (RAG), SQL, Software Development Lifecycle

Preferred skills

• Experience with biological and medical data a plus

Experience

• 3-5 years