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Data Engineering Manager (Remote - USA)

Lantern

Salary not specified
Nov 12, 2025
Remote, US
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Lantern is looking to solve the problem of providing excellent care with significant cost savings to employers and their workforces by connecting people with the best care when they need it most.

Requirements

  • 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
  • 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).
  • 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.

Responsibilities

  • 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).

Other

  • Bachelor's or Master's degree in computer science, Engineering, or a related field.
  • 3+ years of experience managing large teams
  • 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.