Job Description

WHO WE ARE:



Building on its rich heritage, Zinnia is transforming the way life and annuity products are created, sold, and administered - from lead to origination to claims - through Zinnia Open Insurance. We're addressing the new realities of the marketplace, and we understand what consumers want and deserve: a great experience from the moment they consider these products until their policies pay out.



Zinnia Open Insurance is advanced data-driven technology that accelerates innovation, enables unrivaled speed-to-market, deepens relationships with policyholders, and empowers better risk-based outcomes. Open transforms the end-to-end experience to make everything faster, more transparent, and more collaborative for consumers, carriers, and advisors. Zinnia is a new tech company, but we're not new to insurance. We're L&A experts and technology innovators building Open Insurance to power exceptional experiences that evolve ahead of the marketplace. We're Zinnia. And we're Open. Join us, and experience Life, More Open.




WHO YOU ARE:



Zinnia is disrupting the insurance industry by delivering innovative technology-driven experiences. We are advancing our tech capabilities and learning to leverage our data to develop innovative data applications. We are relentless in our drive to reliably deliver outstanding products at scale. We are growing fast, but we can go further faster with experienced, collaborative, challenge-seeking analytics leaders like yourself.



Our data team serves Zinnia through data engineering, data analysis, and data science. Our goal is to help uncover opportunities and make decisions with data. We partner with all department stakeholders across the company to develop deeper predictors of behavior, develop insights that drive business strategy and build solutions to optimize our internal and external experiences.




WHAT YOU'LL DO:


• Overseeing technological choices and implementation of data pipelines and warehousing philosophy
• Execute and serve as lead and/or SME on cross-organizational and cross-divisional projects automating our data value chain processes.
• Promoting technical best practices throughout the data organization
• Design data architecture that is simple and maintainable while enabling Data Analysts, Data Scientists, and stakeholders to efficiently work with data.
• Mentor data team members in architecture and coding techniques.
• Serve as a source of knowledge for the Data Engineering team for process improvement, automation and new technologies available to enable best-in-class timeliness and data coverage
• Design data pipelines utilizing ETL tools, event driven software, and other streaming software.
• Partner with both data scientists and engineers to bring our amazing concepts to reality. This requires learning to speak the language of statisticians as well as software engineers.
• Ensure reliability in data pipelines and enforce data governance, security and protection of our customer's information while balancing tech debt.
• Demonstrate innovation, customer focus, and experimentation mindsets
• Partner with product and engineering teams to design data models for downstream data maximization.
• Evaluate and champion new engineering tools that help us move faster and scale our team


WHAT YOU'LL NEED:


• Extensive experience with data engineering techniques, Python and using SQL
• Familiarity and working knowledge of Airflow and dbt.
• You are comfortable and have expertise in data engineering tooling such as jira, git, buildkite, terraform, airflow, dbt and containers as well as GCP suite, terraform kubernetes, cloud functions.
• You understand standard ETL patterns, modern data warehousing ideas such as data mesh or data vaulting, and data quality practices regarding test driven design and data observability.
• You enjoy being a high-level architect sometimes, and a low-level coder sometimes
• You are passionate about all things data: Big data, small data, moving and transforming it, its quality, its accessibility, and delivering value from it to internal and external clients
• You want ownership to solve for and lead a team to deliver modern and efficient data pipeline components
• You are passionate about a culture of learning and teaching
• You love challenging yourself to constantly improve, and sharing your knowledge to empower others
• You like to take risks when looking for novel solutions to complex problems. If faced with roadblocks, you continue to reach higher to make greatness happen
• Technologies You Will Use
• Python for data pipelining and automation.
• Airbyte for ETL purpose
• Google Cloud Platform, Terraform, Kubernetes, Cloud SQL, Cloud Functions, BigQuery, DataStore, and more: we keep adopting new tools as we grow!
• Airflow and dbt for data pipelining
• Tableau and PowerBI for data visualization and consumer facing dashboards.
• Many more to come!


WHAT'S IN IT FOR YOU?



Zinnia offers excellent career progression and competitive compensation. We offer great benefits, including health/dental insurance, parental leave, incentive/bonus opportunity and so much more. We're looking for the best and brightest innovators in the industry to join our team. 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.





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