Data Engineering Manager

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September 24

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Employer Direct Healthcare

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Healthcare Insurance • Enterprise • SaaS

Employer Direct Healthcare is dedicated to providing affordable and high-quality healthcare for self-insured organizations and their employees. The company, through its Lantern Specialty Care Platform, connects members with top-performing doctors nationwide, ensuring stress-free recoveries and life-changing outcomes. Their services include surgery care, cancer treatment, and infusion care, focusing on delivering excellent care within driving distance of members through a network of over 2,000 surgeons and 1,500 facilities. Employer Direct Healthcare offers a curated network of excellent care providers, a new economic model that negotiates the best rates, and a commitment to supporting all planned procedures and cancer diagnoses. Their platform is particularly beneficial for organizations looking to reduce healthcare costs without sacrificing quality, providing tailored solutions for diverse employee populations across rural and urban areas.

201 - 500 employees

⚕️ Healthcare Insurance

🏢 Enterprise

☁️ SaaS

📋 Description

• Lead and mentor a team of data engineers to design, develop, and deploy scalable solutions • Collaborate with product and business stakeholders to deliver data solutions that meet user needs • Architect, build, and maintain data infrastructure, ensuring reliability, scalability, and performance across various data sources and platforms • Implement Data Ingestion, Transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization • Collaborate with Data Engineers, Architects, and Business Analysts in building data models to improve reliability and interpretability of data for analytical and business needs • Define and enforce coding standards and document best practices within the team • Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs) • Support production jobs and mitigate issues within the defined SLA • Partner with senior leadership to define Data Strategy, Roadmap and hiring for future needs • Foster a culture that embraces continuous learning and innovation • Hands-on contribution to the design, development, and maintenance of the data platform; own deliverables and drive impactful results

🎯 Requirements

• Bachelor’s or Master’s degree in computer science, Engineering, or a related field. • 7+ years of experience in Data Engineering, with a track record of driving technical innovation and implementation of complex data solutions at scale • 5+ years of hands-on programming experience Python • 3+ years of experience managing a team or as a team lead • 4+ years of Cloud Experience: Azure (preferred)/AWS/GCP • 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 • Experience in Modern Data Technologies like Spark, Databricks, and Kafka • Expertise with Microsoft SQL Server (preferred) or other relational databases • 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 • Prior Experience with Marketing Automation Platforms, Data Segmentation, and multi-channel campaign measurement will be helpful • Familiarity with CI/CD (e.g., Azure pipelines), and IAC (e.g., Terraform) is a plus • Experience or knowledge with creating RESTful API’s and data visualizations is a plus.