Data Engineer III

<div class="content-intro"><p><strong>WHO WE ARE

</strong></p> <p>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.

</p></div><p><span style="font-size

10pt;"><strong>WHO YOU ARE

</strong></span></p> <p><span style="font-size

10pt;">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.

</span></p> <p><span style="font-size

10pt;"><strong>WHAT YOU’LL DO

</strong></span></p> <ul> <li style="font-weight

bold; font-size

10pt;"><span style="font-size

10pt;"><strong>Overseeing technological choices and implementation of data pipelines and warehousing philosophy</strong></span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Execute and serve as lead and/or SME on cross-organizational and cross-divisional projects automating our data value chain processes</span></li> <li style="font-weight: bold; font-size: 10pt;"><span style="font-size: 10pt;"><strong>Promoting technical best practices throughout the data organization</strong></span></li> <li style="font-weight: bold; font-size: 10pt;"><span style="font-size: 10pt;"><strong>Design data architecture that is simple and maintainable while enabling Data Analysts, Data Scientists, and stakeholders to efficiently work with data.

</strong></span></li> <li style="font-size

10pt;"><span style="font-size

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</span></li> <li style="font-size

10pt;"><span style="font-size

10pt;">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</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Design data pipelines utilizing ETL tools, event driven software, and other streaming software.

</span></li> <li style="font-size

10pt;"><span style="font-size

10pt;">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.

</span></li> <li style="font-size

10pt;"><span style="font-size

10pt;">Ensure reliability in data pipelines and enforce data governance, security and protection of our customer’s information while balancing tech debt.

</span></li> <li style="font-size

10pt;"><span style="font-size

10pt;">Demonstrate innovation, customer focus, and experimentation mindsets</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Partner with product and engineering teams to design data models for downstream data maximization.

</span></li> <li style="font-size

10pt;"><span style="font-size

10pt;">Evaluate and champion new engineering tools that help us move faster and scale our team</span></li> </ul> <p><span style="font-size: 10pt;"><strong>WHAT YOU’LL NEED:</strong></span></p> <ul> <li style="font-weight: bold; font-size: 10pt;"><span style="font-size: 10pt;"><strong>A Technical Bachelor/Master's Degree with 4+ years of experience across Data Engineering (Data Pipelining, Warehousing, ETL Tools etc.

)</strong></span></li> <li style="font-weight

bold; font-size

10pt;"><span style="font-size

10pt;"><strong>Extensive hands-on experience with data engineering techniques and Python & SQL</strong></span></li> <li style="font-weight: bold; font-size: 10pt;"><span style="font-size: 10pt;"><strong>Strong working knowledge of Snowflake, Airflow and dbt</strong></span></li> <li style="font-weight: bold; font-size: 10pt;"><span style="font-size: 10pt;"><strong>You are comfortable and have expertise in data engineering tooling such as Jira, git, buildkite, Terraform, and containers as well as GCP suite, terraform kubernetes, cloud functions</strong></span></li> <li style="font-weight: bold; font-size: 10pt;"><span style="font-size: 10pt;"><strong>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.

</strong></span></li> <li style="font-size

10pt;"><span style="font-size

10pt;">You enjoy being a high-level architect sometimes, and a low-level coder sometimes</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">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</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">You want ownership to solve for and lead a team to deliver modern and efficient data pipeline components</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">You are passionate about a culture of learning and teaching</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">You love challenging yourself to constantly improve, and sharing your knowledge to empower others</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">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</span></li> <li style="font-weight: bold; font-size: 10pt;"><span style="font-size: 10pt;"><strong>Technologies, you will use:</strong></span> <ul> <li style="font-weight: bold; font-size: 10pt;"><span style="font-size: 10pt;"><strong>Python for data pipelining and automation.

</strong></span></li> <li style="font-weight

bold; font-size

10pt;"><span style="font-size

10pt;"><strong>Airbyte for ETL purpose</strong></span></li> <li style="font-weight: bold; font-size: 10pt;"><span style="font-size: 10pt;"><strong>Google Cloud Platform (GCP)/AWS, Snowflake, Terraform, Kubernetes, Cloud SQL, Cloud Functions, BigQuery, DataStore, and more: we keep adopting new tools as we grow!

</strong></span></li> <li style="font-weight

bold; font-size

10pt;"><span style="font-size

10pt;"><strong>Airflow and dbt for data pipelining</strong></span></li> <li style="font-weight: bold; font-size: 10pt;"><span style="font-size: 10pt;"><strong>Tableau and PowerBI for data visualization and consumer facing dashboards.

</strong></span></li> </ul> </li> </ul> <p><span style="font-size

10pt;"><strong>WHAT’S IN IT FOR YOU?

</strong></span></p> <p><span style="font-size

10pt;">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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