Healthcare Data Engineer
Overview
Join our dedicated team of professionals at the forefront of healthcare and data innovation. As a Healthcare Data Engineer, you will lead the charge in optimizing healthcare analytics while maintaining the utmost data security and HIPAA compliance. Collaborating with a skilled, multidisciplinary team, you'll work closely with our esteemed healthcare client and have the opportunity to interact directly with senior leadership, including the CEO and COO. Your role is to elevate healthcare data management, integrate Tableau dashboards into client applications, establish data quality standards, and construct data pipelines. Together, we are on a mission to enhance healthcare outcomes through data-driven insights, and your expertise will be instrumental in achieving this goal. Join us in shaping the future of healthcare data analytics and making a tangible difference in the industry.
Responsibilities:
- Data Management: Own and manage the database, maintaining a data dictionary and ensuring data accessibility for stakeholders.
- HIPAA Compliance: Stay updated with HIPAA Compliance standards and data privacy, ensuring the secure handling of sensitive patient data.
- Data Quality Assurance: Investigate and resolve anomalies in data, ensuring data quality and reliability.
- Data Set Creation and Optimization: Build and optimize data sets for analytics, focusing on production-level tables for improved visualization.
- Tableau Expertise: Utilize Tableau and its API to optimize data visualizations and manage data sources.
- RedShift Implementation: Implement and leverage Amazon RedShift for efficient data warehousing.
- Database Strategy and Collaboration: Collaborate with software engineers to develop and implement an efficient database architecture.
- System Architecture Evaluation: Continually analyze the database and system architecture, making recommendations for improvements and optimizations.
- External Data Integration: Explore possibilities for connecting to EHRs and external databases to enrich data sources.
- Dashboard Integration: Work closely with engineering and product teams to integrate Tableau dashboards and workbooks into client applications.
- Data Pipeline Management: Design, construct, and manage data pipelines, documenting the process for compliance and reporting.
- Data Quality Standards: Establish and uphold data quality standards and best practices.
- Data Quality Assessments: Conduct data quality assessments to ensure the accuracy and reliability of healthcare data from various sources.
Qualifications:
- Bachelor's or Master's degree in Data Engineering, Data Science, Computer Science, or other related field.
- Proven expertise in ETL, data preparation, and data engineering.
- Technical proficiency in SQL, Python, AWS (including Redshift), Tableau, and data integration tools. Certifications are a plus!
- Knowledge of PHI, HIPAA compliance, the FHIR standard for exchanging healthcare information electronically, and the healthcare industry.
- Data quality and governance proficiency.
- Strong written and verbal communication skills.
- Collaboration experience with cross-functional teams.
- Process development for SOPs and data quality best practices.
- SQL mapping proficiency for data transformation.
- Proficiency in English at a B2-C2 level. Certifications and/or endorsements are a plus.
- Experience working with U.S. companies.
- Ability to work in U.S. time zones, with a preference for Eastern Standard Time (EST).
Benefits/Compensation:
- Completely remote work
- Contract-based employment
- Competitive compensation based on relevant experience, plus location (in US dollars)
- Unlimited PTO
- There are currently NO formal benefits packages available (health insurance, retirement plans).