Data Engineer

Summary

Join Health-E Commerce as a Data Engineer to build and optimize our data platform. You will design, develop, and maintain data pipelines and infrastructure for analytics, reporting, and machine learning. Collaborate with various teams to ensure data systems are scalable and reliable. This role involves building ETL/ELT pipelines, integrating new data sources, and creating a robust data mart. You will also work with data scientists on machine learning model deployment and maintain data quality standards. The ideal candidate will have a strong background in data engineering, SQL, Python, and cloud platforms. This is a fully remote position within the United States.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
• Minimum 1-4 years of relevant experience in data engineering, software engineering, or analytics
• Strong SQL and Python proficiency
• Experience working in cloud data platforms (e.g., Azure Synapse, Snowflake, BigQuery, Databricks, Microsoft Fabric)
• Experience with analytics and BI platforms (PowerBI or similar)
• Strong background in relational databases, ETL tools, scripting languages (Powershell or similar)
• Proficiency with Git and collaborative development workflows (e.g., pull requests, code reviews), working in an agile development environment
• Experience with orchestration tools like Apache Airflow, Prefect, or Azure Data Factory for managing complex data workflows
• Demonstrated ability to build processes that support data transformation, structures, accuracy checking, and workload management
• Understanding of statistical data modeling and supporting infrastructure
• 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

Responsibilities

• Build and scale our data engineering stack, including ETL/ELT pipelines, transformation workflows, and compute infrastructure across cloud platforms
• 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

Experience in the e-commerce, marketing or digital health sectors is a big plus

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
• Must be able to work EST hours
• Compensation: $100,000 - $130,000
• Discretionary Annual Bonus Eligibility: Up to 10%