Staff Data Engineer

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 skilled and experienced data engineer with a strong background in data engineering & Big Data. You have expertise in working with Google Big query, Apache Airflow as well as traditional ETL tools. We are looking for someone to lead the way offline for Zinnia. Your ability to lead projects and collaborate with cross-functional teams allows you to ensure data integrity and operational efficiency.

WHAT YOU’LL DO:

• Build the next gen data infrastructure for Zinnia using frameworks such as dbt, Apache Airflow, and Google Big Query
• Design, build, and optimize data workflows, ensuring seamless data integration across realtime, nearline and offline data realms.
• Collaborate with stakeholders and cross-functional teams to understand business requirements and translate them into technical solutions.
• Provide technical expertise in troubleshooting and resolving complex data-related issues.
• Stay up to date with industry trends and recommend best practices for data engineering and integration.
• Mentor and guide junior engineers in the team, fostering a culture of innovation and continuous learning.

WHAT YOU’LL NEED:

• Bachelor’s degree in computer science, Information Technology, or a related field.
• 10-14 years of experience in big data, data engineering, or a similar role, with a proven track record of leadership and project management within the data engineering domain.
• Strong expertise in data integration, transformation, and scheduling processes using tools like Big Query, traditional databases.
• Proficiency in ELT/ETL processes and tools such as Informatica, DBT, Airbyte, Singer.io, Meltano, Apache Airflow or similar within the context of data engineering.
• Familiarity with cloud-based environments and technologies, including data platforms and services, as they relate to data engineering.
• In-depth understanding of data warehousing concepts, practices, and technologies relevant to data engineering.
• Knowledge of data quality and governance principles, with experience implementing best practices within the data lifecycle.
• Excellent communication, leadership, and interpersonal skills, with the ability to collaborate effectively across teams and levels of the organization.
• Proven ability to adapt to changing priorities, manage multiple projects simultaneously, and drive results in a fast-paced environment within the Interface team.

WHAT’S 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 www.zinnia.com 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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