Data Engineer III

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:

A Technical Bachelor/Master's Degree with 4+ years of experience across Data Engineering (Data Pipelining, Warehousing, ETL Tools etc.)

Extensive hands-on experience with data engineering techniques and Python & SQL

Strong working knowledge of Snowflake, Airflow and dbt

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

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 (GCP)/AWS, Snowflake, 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.

Python for data pipelining and automation.

Airbyte for ETL purpose

Google Cloud Platform (GCP)/AWS, Snowflake, 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.

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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