Senior Data Engineer

Lantern•Dallas, TX

14d•Hybrid

About The Position

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. Lantern is looking for a Senior Data Engineer to join our Data Engineering team. The ideal candidate will have an advanced knowledge of building Data Pipelines, batch processing frameworks, and Data Modeling techniques to facilitate seamless Data Ingestion and Exports. In this role you will collaborate with various technology and business stakeholders to deliver data solutions that meet user needs. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies.

Requirements

5+ years of experience as a Data Engineer, with a focus on building enterprise data solutions.
3+ years of experience with cloud and infrastructure on Azure (preferred), AWS, or GCP.
Strong experience with Python, with ability to discuss design patterns; strong SQL skills.
Expert in Microsoft SQL Server (preferred) or other relational databases.
Expertise with SQL, stored procedures, triggers, and performance tuning.
Experience working with big data technologies such as Spark (preferred), Databricks, or similar frameworks.
Experience using Infrastructure as Code tools such as Terraform (or similar) to provision and manage cloud resources.
Prior experience in building data pipelines that are scalable, reliable and fault tolerant while delivering data integrity and code quality.
Experience in building data lakes to support high speed querying by the end users.
Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Nice To Haves

Prior Experience working with Healthcare Information exchange standards like HL7, X12 EDI, FHIR will be helpful.
Experience or knowledge of creating RESTful API’s is a plus.
Experience building Dashboards and visualizations using Power BI or other tools is a plus.

Responsibilities

Design and implement robust, scalable, and high-performance data pipelines
Implement Data Ingestion, transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
Collaborate with Data Engineering Manager, and Product in building data models to improve reliability and interpretability of data for analytical and business needs.
Design, develop, and maintain robust data export solutions to facilitate the efficient transfer of data to external systems and platforms.
Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
Experience supporting production jobs and mitigate issues in a timely manner.
Write unit, integration, and functional tests for new features.
Contribute to the Technology Roadmap, PR Reviews and formulate standards/best practices.
Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation.