Senior Data Engineer @ Zinnia
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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, enabling more people to protect their financial futures. With over $180 billion in assets under administration, 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders, our success is driven by our core values: be bold, team up, deliver value.
Who You Are
You are a seasoned data professional who thrives in a dynamic, cross-functional environment. You have a passion for uncovering opportunities with data and enjoy partnering with various departments to drive business strategy.
What You’ll Do
- Oversee and implement data pipeline and warehousing strategies.
- Lead cross-organizational projects and automate data value chain processes.
- Promote technical best practices and mentor the data team.
- Design and maintain simple, efficient data architecture for diverse stakeholders.
- Ensure pipeline reliability while enforcing data governance and security.
- Collaborate with product and engineering teams to design data models.
- Evaluate and adopt new engineering tools for scalability.
What You’ll Need
- Bachelor/Master's in a technical field with 5+ years of data engineering experience.
- Extensive experience in data pipelining, warehousing, and ETL tools.
- Proficiency in Python and SQL, with familiarity with Airflow and dbt.
- Hands-on experience with tools such as Jira, Git, Buildkite, Terraform, Airflow, dbt, and container technologies.
- Experience with GCP suite, Terraform, Kubernetes, and cloud functions.
- Understanding of modern data warehousing practices like data mesh or data vaulting and data quality best practices.
- A passion for both high-level architecture and detailed coding.
- Strong communication skills to bridge statistical and software engineering domains.
Technologies You Will Use
- Python for data pipelining and automation.
- Airbyte for ETL processes.
- Google Cloud Platform, Terraform, Kubernetes, Cloud SQL, Cloud Functions, BigQuery, and DataStore.
- Airflow and dbt for orchestration.
- Tableau and PowerBI for data visualization.
What’s In It For You
At Zinnia, you will work alongside smart, creative professionals dedicated to delivering cutting-edge technologies and deeper data insights. Apply online via our careers section. We are an Equal Opportunity employer committed to diversity.
Key Skills/Competency
- Data Pipelines
- Data Warehousing
- ETL
- Python
- SQL
- Airflow
- dbt
- GCP
- Terraform
- Kubernetes
How to Get Hired at Zinnia
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant data engineering projects.
- Research Zinnia: Understand their mission and tech stack.
- Showcase technical skills: Emphasize Python, SQL, and cloud tools.
- Prepare for interviews: Practice coding and system design questions.
- Network on LinkedIn: Connect with current Zinnia employees.