Lead Data Engineer

Summary

Join Health-E Commerce as a Lead Data Engineer to spearhead the development and optimization of our data platform. You will lead a team, architect data pipelines, and collaborate with various departments to ensure scalable and reliable data systems. This high-impact role requires strong technical leadership and expertise in cloud data platforms, Python, and SQL. You will be responsible for data ingestion, integration, and the implementation of data quality standards. The ideal candidate possesses a passion for data and a drive to create business impact through technology. This is a fully remote position within the United States.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (Master’s preferred)
• Minimum of 5+ years of experience in data engineering, software engineering, or analytics, with a strong track record of technical leadership
• Minimum of 2+ years of experience managing or mentoring technical teams in an Agile environment
• Deep expertise in cloud data platforms (e.g., Azure Synapse, Snowflake, BigQuery, Databricks, Microsoft Fabric)
• Proficiency in Python and SQL, with experience building scalable data pipelines and transformation workflows
• Hands-on experience with distributed computing frameworks (e.g., Apache Spark, Delta Lake) and large-scale data processing
• Familiarity with modern BI tools, especially Power BI, including data modeling and dashboard development
• Experience supporting machine learning workflows, including MLOps tools like MLflow or Weights & Biases
• Familiarity with setting up continuous integration and deployment workflows for data pipelines (e.g., using GitHub Actions, Azure DevOps, or Jenkins)
• Experience with orchestration tools like Apache Airflow, Prefect, or Azure Data Factory for managing complex data workflows
• Proficiency with Git and collaborative development workflows (e.g., pull requests, code reviews)
• Strong communication and stakeholder management skills, with the ability to translate business needs into technical solutions
• A passion for data, curiosity for solving complex problems, and a drive to create business impact through technology
• Must be able to work EST hours

Responsibilities

• Architect and scale our data engineering stack, including ETL/ELT pipelines, transformation workflows, and compute infrastructure across cloud platforms
• Lead and mentor a team of Data Engineers, fostering a culture of collaboration, accountability, and continuous learning
• Own the ingestion and integration of new data sources, ensuring they are modeled for downstream analytics, reporting, and machine learning use cases
• Partner with Analytics and Business teams to define requirements and deliver a robust internal data mart that supports self-service reporting and advanced analytics
• Collaborate with Data Science to deploy and maintain machine learning models in production, including MLOps, monitoring, and governance
• Implement and enforce data quality, observability, and governance standards across all pipelines and data assets
• Drive innovation and efficiency by identifying opportunities to improve data architecture, tooling, and team processes
• Support strategic initiatives through data-driven insights, ad hoc analysis, and cross-functional collaboration

Preferred Qualifications

Understanding of data security best practices preferred, including encryption, access control, and compliance with regulations like HIPAA or GDP

Benefits

• Medical, Dental, Vision, and 401K with a company match
• Dependent Care, FSA & HSA accounts
• Paid Parental & Bonding Leave
• Flexible PTO & office closure on all major holidays
• Monthly wellness & internet reimbursements
• Professional development including certification support & leadership coaching
• Mental Health resources
• 100% remote within the United States