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Data Engineering Manager - Remote

Posted 5 weeks ago

Overview

We are looking for a seasoned Data Engineering Manager who will help shape the future of our Data Platform. This role will involve leading a team of Data Engineers and will require hands-on contribution to the design, development, and maintenance of the platform.

In Short

  • 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).
  • Experience supporting production jobs and mitigate issues within the defined SLA.
  • Partner with senior leadership to define Data Strategy, Roadmap and hiring for future needs.
  • Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation.

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.
  • 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.
  • Proficiency in programming languages such as Python, with 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.

Benefits

  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Short- & Long-Term Disability
  • Life Insurance
  • 401k with company match

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