Senior Software Engineer - Data Engineering

Summary

Join Included Health as a Senior Software Engineer - Data Engineering and lead the revamp of our analytical foundations. You will design, develop, and refactor critical data pipelines, implement comprehensive monitoring and alerting, and ensure data governance. Responsibilities include resolving data pipeline issues, contributing to data governance standards, and ensuring data quality. You will also participate in redesigning core subject areas within our analytical data model and establish dashboard curation standards. This role requires 5+ years of hands-on experience in data engineering and proficiency in Python and SQL. The position offers a competitive salary, equity, and a comprehensive benefits package.

Requirements

• 5+ years of hands-on experience in data engineering, with a strong focus on building and maintaining scalable and reliable data pipelines (ETL/ELT)
• Proven experience with data warehousing concepts, data modeling (e.g., dimensional, relational), and building analytical datasets
• Proficiency in Python and SQL
• Experience with data pipelining tools like Spark/PySpark and dbt, and platforms like AWS, Databricks, or Google Bigquery
• Experience with data governance principles, data quality management, and data security
• Experience implementing monitoring and alerting for data pipelines
• Familiarity with BI tools (Looker and LookML) and how data is consumed for analytics and reporting
• Proficiency in version control (Github) and CI/CD tools (CircleCI)
• Experience working with non-technical teammates to identify dataset requirements
• Capability to remain seated in a stationary position for prolonged periods
• Eye-hand coordination and manual dexterity to operate keyboard, computer and other office-related equipment

Responsibilities

• Lead the design, development, and refactoring of critical data pipelines to reduce failures and improve efficiency
• Implement comprehensive monitoring, alerting, and service level agreement tracking to achieve and maintain high operational uptime
• Resolve data pipeline issues, contributing to faster incident resolution
• Contribute to the development, implementation, and adoption of data governance standards across critical datasets
• Ensure data quality and integrity throughout the data lifecycle
• Enforce governance standards on core pipelines
• Participate in the redesign and deployment of core subject areas within our analytical data model to improve clarity, utility, and support business reporting needs
• Establish dashboard curation standards to improve usability and user satisfaction
• Eliminate unused or inefficient tasks within our data processing frameworks
• Develop structured data extractors for various application use cases
• Contribute to compute cost reduction efforts through task reconfiguration and the implementation of efficient incremental data processing strategies
• Develop mechanisms to make application engineers aware of potential breaking changes to data schemas

Benefits

• Remote-first culture
• 401(k) savings plan through Fidelity
• Comprehensive medical, vision, and dental coverage through multiple medical plan options (including disability insurance)
• Paid Time Off ("PTO") and Discretionary Time Off ("DTO")
• 12 weeks of 100% Paid Parental leave
• Family Building & Compassionate Leave: Fertility coverage, $25,000 for surrogacy/adoption, and paid leave for failed treatments, adoption or pregnancies
• Work-From-Home reimbursement to support team collaboration home office work