Remote Data Engineer: Pipelines, Modeling & Cloud

Resilience; Iowa City (IA); Remote; USD 100,000 - 140,000; Full time

Benefits offered by this job

Innovative culture

Family paid leave

Healthcare for employees

401k/Pension

Career development

Flexible PTO

Referral bonus

Job summary

Resilience is building a data-centric platform for cyber risk, combining cybersecurity visibility with insurance analytics. As a Data Engineer you will own data pipelines, modeling, and infrastructure to enable robust ingestion, storage, and analytics across cross-functional teams.

You will collaborate with data scientists and engineers to scale data assets, ensure governance and security, and drive performance improvements across our cloud-based systems.

Qualifications

• 3+ years of proven data engineering experience with hands-on expertise in data integration, data modeling, and ETL processes.
• Proficiency in SQL, Python, and JavaScript/TypeScript.
• Strong knowledge of data warehousing concepts, cloud architectures, and modern data stack tooling (Dagster, AWS, Snowflake, dbt).
• Familiarity with data governance, security, and compliance best practices.

Responsibilities

• Design, develop, and maintain scalable data pipelines for ingestion, transformation, and storage.
• Collaborate with data scientists, analysts, and application teams to design scalable data models for BI and analytics.
• Address bottlenecks, plan capacity, and optimize cloud-based data systems for reliability and performance.
• Establish and enforce data security policies and regulatory compliance.
• Provide technical mentorship to engineers and communicate complex concepts to non-technical stakeholders.

Skills

Data engineering

SQL

Python

JavaScript/TypeScript

ETL pipelines

Data warehousing

Dagster

AWS

Snowflake

dbt

Data governance

Education

Bachelor's degree in Computer Science, Data Science, or related field

Master's degree in Computer Science or Data Science

Tools

Dagster

AWS

Snowflake

dbt

Job description

Resilience is building a data-centric platform for cyber risk, combining cybersecurity visibility with insurance analytics. As a Data Engineer you will own data pipelines, modeling, and infrastructure to enable robust ingestion, storage, and analytics across cross-functional teams.

You will collaborate with data scientists and engineers to scale data assets, ensure governance and security, and drive performance improvements across our cloud-based systems.