Data Engineer

Overview
Data Engineer at Cover Genius is responsible for developing and maintaining robust data pipelines and data infrastructure for analytics, machine learning, and reporting platforms.
About Cover Genius
Cover Genius is a Series E insurtech that protects the global customers of the world's largest digital companies.
Our partners integrate with XCover, our award-winning insurance distribution platform, to embed protection for millions of customers worldwide each year.
About The Role
As a Data Engineer in our data team, you will own the development and maintenance of data pipelines and data infrastructure to support analytics, machine learning, and reporting.
You will use SQL and Python to design and implement the data platform on cloud-based services and collaborate with data scientists, software engineers and other data users to ensure data availability and accuracy.
Key Responsibilities
Design and implement efficient data pipelines to collect, process, and store large volumes of data from SQL sources, APIs, and streaming data.
Maintain and operate the data platform using Airflow, dbt, Dataflow, ClickHouse and BigQuery.
Aim to achieve defined data availability and quality KPIs.
Implement data governance and security measures to ensure compliance with data privacy regulations and best practices.
Troubleshoot data-related issues, perform root-cause analysis, and implement preventive measures.
Support machine learning engineers to create real-time and batch data pipelines that fit data specifications and ML inference needs.
Support analytics engineers to build data models and metrics for product performance.
What you will bring
B.S. in Computer Science or a related STEM field
Minimum 3 years of experience as a data engineer
Strong proficiency with cloud data warehouses such as BigQuery, ClickHouse, Snowflake, or similar
Proficient SQL and Python coding skills to deliver reliable data engineering and/or ML solutions
Experience developing Airflow or other open-source data orchestration tools and operating them in production
Experience building AI agents is a bonus
Proficiencies And Attributes
You treat data as a product and take end-to-end responsibility for its journey.
You navigate ambiguous business requirements and lead projects to deliver reliable, well-defined datasets and data platforms with measurable impact.
You are passionate about the evolving data landscape and explore modern tools and methodologies.
You stay updated on advancements like lakehouse architectures (e.g., Iceberg, Delta Lake) and improved orchestration frameworks to improve data systems.
You prioritize data integrity and trustworthiness, building testable, observable pipelines with automation and cost awareness.
You are self-motivated and continuously study new practices and tooling in data engineering.
Why Cover Genius?
Flexible, hybrid work environment with remote days and office days, flexible start/finish times, and a Wellness day each month.
Employee stock options to share in the company's success.
Opportunity to work with passionate colleagues and participate in CG Gives and social impact programs.
Engaging social initiatives and a collaborative culture.
Cover Genius promotes diversity and inclusivity.
We do not tolerate discrimination, demeaning treatment of anyone, or harassment based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.
By submitting your application, you acknowledge that we may collect, store and process your personal data for recruitment purposes.
We may use AI to assist in sorting applications, but final hiring decisions rest with our team.
We will keep your information on file for three years.
For details on how we handle data and AI, please review our Privacy Policy.
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