Our Misson is to be the catalyst for massive, measurable, data-informed healthcare improvement.
How you can make a difference:
As a Data Engineer, you will design, build, and maintain scalable data solutions that support data integration, processing, and analytics across a complex ecosystem. You'll work with stakeholders to ensure data quality, reliability, security, and compliance while developing efficient data pipelines and database architectures.
What you’ll be doing:
- Integrate data from multiple source systems while ensuring accuracy and consistency.
- Design, develop, and maintain scalable, high-performing database solutions.
- Build and optimize ETL processes, data pipelines, and automated workflows.
- Perform data mapping, validation, and quality assurance.
- Troubleshoot and resolve complex data and database issues.
- Optimize SQL queries, indexes, and database performance.
- Improve system reliability, scalability, and responsiveness.
- Participate in code reviews and follow engineering best practices.
- Develop and execute unit and regression testing to ensure solution quality.
- Ensure compliance with security, privacy, and regulatory requirements, including HIPAA.
What you will need to be successful:
- 4+ years of experience working with relational databases such as SQL Server or Oracle.
- Strong SQL skills, including query optimization and database performance tuning.
- Experience with ETL development, data integration, and troubleshooting.
- Familiarity with high-volume transactional (OLTP) environments.
- Working knowledge of NoSQL technologies such as MongoDB or Elasticsearch.
- Experience with cloud platforms, preferably Microsoft Azure.
- Strong analytical, problem-solving, and communication skills.
- Ability to work effectively with both technical and non-technical stakeholders.
Preferred Qualifications
- Experience with T-SQL, stored procedures, and SSIS.
- Knowledge of healthcare data standards, including HL7, CCD, and EDI X12.
- Experience integrating with REST APIs and working with XML and JSON data formats.
- Familiarity with Agile/Scrum development methodologies.
- Experience with Big Data technologies such as Hadoop.
- Proficiency with Git and version control practices.
Education & Experience
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Experience in healthcare, healthcare technology, or data engineering environments preferred.