Data Engineer

Resilience; Northern (KY); Remote; USD 100,000 - 140,000; Full time

Benefits offered by this job

Remote-friendly culture

Competitive healthcare

Professional development

401k/Pension

Flexible paid time off

Job summary

Resilience is seeking a Data Engineer to own data pipelines, data modeling, and cloud infrastructure that power our cybersecurity visibility and cyber insurance analytics.

You will collaborate with data scientists and engineers across distributed teams, ensuring data quality, governance, and scalable solutions in a fast-moving, remote-friendly environment.

Qualifications

• 3+ years of data engineering experience with ETL, data integration, and data modeling.
• Proficiency in SQL, Python, and JavaScript/TypeScript.
• Knowledge of data warehousing, cloud architectures, and modern data stack tooling.
• Familiarity with data governance, security, and compliance best practices.
• Bachelor's degree in CS, DS, or related field (or equivalent experience).
• Strong analytical, problem-solving, and cross-functional communication skills.

Responsibilities

• Develop, scale, and optimize data pipelines for ingestion, transformation, and storage.
• Design data models and integrate diverse internal/external sources.
• Improve performance and reliability of cloud-based data systems.
• Establish data security policies and governance aligned with regulations.
• Mentor engineers and translate technical concepts to non-technical stakeholders.

Skills

Data engineering

SQL

Python

JavaScript/TypeScript

Data warehousing

Dagster

AWS

Snowflake

dbt

Data governance

Cross-functional communication

Education

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

Tools

Dagster

AWS

Snowflake

dbt

Job description

The Hook: Why this role matters now

Step into a critical technical role driving the core data architecture that powers our category-defining platform. As a Data Engineer at Resilience, you won't just maintain existing pipelines; you will take full ownership of building, scaling, and optimizing the data infrastructure that connects cybersecurity visibility with cyber insurance analytics. Sitting at the heart of our engineering team, you will ensure efficient and reliable data integration, storage, and processing across cross-functional teams, transforming complex datasets into seamless, high-performance systems.

The Mission: What you will achieve in the first 6 months

In your first six months, you will take complete accountability for developing and maintaining our data pipelines, data modeling, and infrastructure strategy:

• Data Pipeline Development: Design, develop, and maintain robust, scalable data pipelines for ingestion, transformation, and storage, ensuring data quality, reliability, and integrity throughout the pipeline lifecycle.
• Data Modeling & Integration: Partner closely with data scientists, analysts, and application teams to design and implement scalable data models supporting business intelligence and analytics while integrating diverse internal and external sources.
• Performance Optimization & Infrastructure: Address system bottlenecks, conduct capacity planning, and implement optimizations to elevate performance and reliability across our cloud-based data systems.
• Governance & Security: Establish and enforce data security policies, access controls, and compliance standards in alignment with regulatory measures.
• Mentorship & Collaboration: Provide technical mentorship to fellow engineers, fostering a culture of continuous learning while communicating technical concepts effectively to non-technical stakeholders.

The Toolkit: Technical skills vs. \"nice-to-haves\"

• Core Requirements:
  • 3+ years of proven data engineering experience with hands-on expertise in data integration, data modeling, and ETL processes.
  • Proficiency in programming languages including SQL , Python , and JavaScript/TypeScript.
  • Solid working knowledge of data warehousing concepts, cloud architectures, and modern data stack tooling (e.g., Dagster , AWS , Snowflake , dbt ).
  • Familiarity with data governance, security, and compliance best practices.
  • Bachelor's degree in Computer Science, Data Science, or a related quantitative field (or equivalent practical experience).
  • Strong analytical, problem-solving, and cross-functional communication skills, with a track record of managing multiple projects in a dynamic environment.
• Nice-to-Haves:
  • Master's degree in Computer Science or Data Science.
  • Advanced certifications in data engineering or cloud platform domains.

The Culture: How we work

We move fast, operate with zero ego, and embrace a bias to action. We are guided strongly by our four core values: transparency, excellence, grit, and humility. This is a full-time, remote-friendly role operating loosely on Eastern Standard Time, with engineering team members distributed across Baltimore, New York, San Francisco, and the eastern seaboard.

The Benefits: Standardized perks

You will work alongside prominent leaders and innovators from the insurance, technology, and cybersecurity industries, as well as experts from the highest tiers of the US military and intelligence communities.

Compensation range

$100,000 - $140,000 USD

What Resilience Offers You

• Innovative company culture
• Family paid leave
• Paid healthcare for employees
• 401k/Pension
• Professional development & career advancements
• Flexible paid time off
• Employee referral bonus

Accommodations and Accessibility

We want to ensure you're able to perform as well as possible in your interview. As part of that, if you have any accessibility-related needs to ensure a comfortable visit, please let us know. We'll do our best to provide reasonable accommodations to suit your working style during your interview and if you join our team.

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please let your recruiter contact know.