Data Engineer III Data Platform

WHO WE ARE:

Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights Zinnia simplifies the experience of buying selling and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold team up deliver value and that we do. Zinnia has over $180 billion in assets under administration serves 100 carrier clients 2500 distributors and partners and over 2 million policyholders.

WHO YOU ARE:

You are a Data Engineer who wants to go deep on platform and infrastructure work building the pipelines storage and platform foundations that the rest of the business builds on. You think in terms of well-modeled data reliable orchestration and infrastructure that holds up under real production load.

You are comfortable with SQL and Python know your way around AWS core services and can take a clear set of requirements and turn them into solid well-tested outcomes. You are curious about how data platforms can be setup scaled integrated in the wider application ecosystem and resulting data feeds downstream analytics and machine learning use cases.

WHAT YOULL DO:

• Build and maintain scalable reliable data platforms and pipelines that power analytics and data-driven products across Zinnia.
• Work within the data platforms AWS infrastructure storage IAM compute and orchestration services implementing and tuning components under the guidance of senior engineers.
• Implement and integrate with telemetry and observability solutions for Infrastructure and Platform reliability.
• Provision and modify data infrastructure components (S3 buckets IAM roles Lambda RDS/Aurora compute resources) using Terraform including Snowflake infrastructure-as-code (warehouses roles databases) working from existing modules and patterns.
• Familiarity with streaming or event-driven data (Kafka Kinesis or similar)
• Package deploy and manage pipeline components as containerized services (ex: Docker Kubernetes/EKS ECS) including EKS cluster upgrades and configuration changes
• Implement data quality checks monitoring and basic lineage so downstream teams can trust the data theyre consuming.
• Contribute to data governance access control and cost-optimization practices within AWS and Snowflake.
• Troubleshoot pipeline and infrastructure issues escalating and collaborating with senior engineers on complex or systemic problems.
• Write clear documentation and follow established technical standards for the data platform.
• Develop and maintain ELT/ETL workflows using Airflow dbt and Airbyte (or similar ingestion tools) for self-serve data access
• Familiarity with AI-assisted engineering tools and platforms (e.g. Claude Cortex Code) LLM-based workflows and agentic automation to support infrastructure and platform changes

WHAT YOULL NEED:

• 4 years of experience in Data Engineering with a focus on Data
• Hands-on experience with AWS core services (e.g. S3 IAM compute services)
• Strong proficiency in SQL and Python for data transformation and pipeline development.
• Experience with a cloud data warehouse such as Snowflake or similar.
• Working knowledge of Airflow for orchestration and scheduling including managed Airflow (MWAA) or similar hosted-Airflow configuration and environment management.
• Experience/awareness with dbt including dbt Cloud for transformations testing documentation and job/environment configuration.
• Solid understanding of data modeling fundamentals (dimensional and fact-based designs).
• Comfort working in agile cross-functional teams alongside more senior engineers analysts and data scientists.
• Clear written and verbal communication skills.
  
  Nice to have:
• Exposure to MLOps concepts training data pipelines feature generation or model monitoring data.
• Experience with Airbyte or similar ELT ingestion tools.
• Familiarity with CI/CD practices for data pipelines including building and maintaining GitHub repositories and GitHub Actions pipelines.
• Experience in a regulated industry such as insurance or financial services.

WHATS IN IT FOR YOU

At Zinnia you collaborate with smart creative professionals who are dedicated to delivering cutting-edge technologies deeper data insights and enhanced services to transform how insurance is done. Visit our website at for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race religion color national origin gender sexual orientation age marital status veteran status or disability.

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