Remote Data Engineer II

Summary

The job is for a Data Engineer at Bestow, a leading insurance technology company. The role involves building robust data solutions, improving data reliability, and working with various teams to deliver informed solutions. The position offers remote work or hybrid workplace, meaningful benefits, substantial growth opportunities, and equity.

Requirements

• 4+ years working in a data engineering role that supports incoming/outgoing feeds as well as analytics and data science teams
• 2+ years of Python or similar experience writing efficient, testable, and readable code
• Deep SQL experience with columnar databases such as Google BigQuery, Snowflake, or Amazon Redshift
• Comfortable designing an end-to-end data pipeline in cloud frameworks (such as GCP, AWS, Azure) with requirements from multiple stakeholders
• Experience building CICD pipelines for data processing using tools such as Docker, CircleCI, dbt, git, etc
• Able to manage infrastructure using IAC tools such as Terraform or Pulumi
• Experience with common data orchestration tools such as Apache Airflow (or similar) to manage SLOs and processing dependencies
• Experience with building streaming / real-time ingestion pipelines
• Experience with creating alerts and monitoring pipelines which contribute to overall data governance
• Experience with containerization and container orchestration technologies with cloud architecture and implementation features (single- and multi-tenancy, orchestration, elastic scalability)
• Familiarity with standard IT security practices such as identity and access management (IAM), data protection, encryption, certificate, and key management

Responsibilities

• Build robust solutions for transferring data from first and third-party applications to and from our data warehouse
• Passionate about data quality and availability, driving to resolution through high collaboration with team members
• Making decisions as a team
• Develop hardened and repeatable (CI/CD) data models and pipelines to enable reporting, modeling, and machine learning
• Improve data availability to our enterprise clients through a mix of traditional push delivery, cloud, and event-driven (eg: API, grpc) data sharing methods
• Ensure data quality through automated monitoring and alerting, and occasionally serving within an on-call rotation

Preferred Qualifications

Nice to have: experience with data contracts, data lakes, and API development

Benefits

• Competitive salary and equity based on role
• Policies and managers that support work/life balance, like our flexible paid time off and parental leave programs
• 100% paid-premium option for medical, dental, and vision insurance
• Lifestyle stipend to support your physical, emotional, and financial wellbeing
• Flexible work-from-home policy and open to remote
• Remote and WFH options, as well as a beautiful, state-of-the-art office in Dallas’ Deep Ellum, for those who prefer an office setting
• Employee-led diversity, equity, and inclusion initiatives