Principal Data Engineer
Lantern
Dallas, United States of America
17 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Dallas, United States of America
Tech stack
Multitier Architecture
API
Artificial Intelligence
Big Data
Code Coverage
Databases
Continuous Integration
Information Engineering
Data Governance
Data Infrastructure
Data Visualization
Data Warehousing
Distributed Data Store
Electronic Data Interchange (EDI)
Identity and Access Management
Mobile Application Software
JSON
Python
Machine Learning
NoSQL
Object-Oriented Software Development
Fast Healthcare Interoperability Resources
Spark
Data Strategy
Data Lake
Integration Tests
Information Technology
Health Level Seven International
Kafka
REST
Data Pipelines
Databricks
Programming Languages
Job description
- Architect and build platform foundations, including Observability, lineage, Quality Control Frameworks, while ensuring scalability, performance, and security.
- Modularize platform frameworks to support diverse data needs, a variety of data formats (EDI, API, JSON, etc.), and deliver batch and real-time insights.
- Collaborate with Data Engineers, Architects, and Business Analysts in building pipelines and data models to improve the reliability and interpretability of data for analytical and business needs.
- Build technical design documents, evaluate emerging technologies, and lead proof-of-concept initiatives to validate solutions.
- Champion software engineering best practices, including code standards, effective review processes, CI/CD, and Data Infrastructure.
- Evolve platform capabilities to integrate ML and AI Models to accelerate business use cases.
- Adopt an iterative product development mindset to solve for challenges on the platform.
- Partner with business stakeholders and technology leadership to define Data Strategy, Roadmap, and hiring for future needs.
- Foster a positive team environment that embraces continuous learning and technical innovation.
- Mentor team members and build a high-performance engineering culture through collaboration and knowledge sharing.
Requirements
Do you have experience in Team management?, * You use LOGIC in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins.
- INCLUSION is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with.
- You have the GRIT, drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas.
- You care deeply for your customers are driven to keep HUMANITY in all decisions. Your customers aren't just the individuals using your product. They are the driving factor in your motivation to make a change.
- Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear.
- You thrive in a Team Environment. Collaboration is key in innovation and creating change., * Bachelor's or master's degree in computer science, Engineering, or a related field.
- 12+ years of experience in Data Engineering, with at least 5+ years as Principal Engineer.
- 5+ years of experience with programming languages (Python, Scala etc.), with a deep understanding of Spark and Databricks, and ability to optimize and performance tune the pipelines.
- 3+ years of working with EDI or HIE standards (e.g. X12, HL7, and/or FHIR).
- Proven leadership experience managing and developing data engineering teams, including team growth, skill development, and strategic project execution.
- Prior experience with designing and managing large scale data infrastructure.
- Expertise with cloud platforms, databases, and modern data stack with proficiency in Distributed Data Systems (e.g. Kafka, NoSQL).
- Experience in building data lakes to support high speed querying by the end users.
- Knowledge of AI/ML technologies to support various business use cases.
- Knowledge of OOA/D and N-tier web or mobile applications best practices
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Experience or knowledge with creating RESTful API's and data visualizations.
Strong Candidates will have:
- Healthcare Experience at Industry leading payors/insurers.
- Prior implementation experience with Data Governance, and Patient Identity management in a healthcare setting.
- Adopted a robust CI/CD driven engineering culture with focus on code coverage, unit and integration tests.
Benefits & conditions
Pulled from the full job description
- Paid parental leave
- Parental leave
- Health insurance
- 401(k) matching
- Paid time off
- Vision insurance
- Dental insurance, * Medical Insurance
- Dental Insurance
- Vision Insurance
- Short & Long Term Disability
- Life Insurance
- 401k with company match
- Flexible Paid Time Off
- Paid Parental Leave
About the company
Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com.