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Resilience

Data Engineer

  • Remote
  • 3-6 years

Salary

$100,000 - 140,000/ year

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Description

At Resilience, we’re creating a new category that integrates cybersecurity, cyber insurance, and cyber risk management. Founded in 2016 by experts from across the highest tiers of the US military and intelligence communities – and built by prominent leaders and innovators from the insurance, technology, and cybersecurity industries – Resilience is rewriting the rules of how cyber risk is assessed, measured, and managed.

Our integrated cyber risk solutions connect risk quantification software, cybersecurity experts, and A+ rated cyber insurance, all purpose-built for middle and large organizations. We are a cybersecurity company, a Cyber and Tech E&O-focused MGA, a fintech startup, and a data science powerhouse, all purposefully built into one.

Resilience is proud to be backed by leading technology investment firms, including General Catalyst, Lightspeed Venture Partners, Intact Ventures, Founders Fund, CRV, and Shield Capital.

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.

Conditions

$100,000 - $140,000 USD

What Resilience Offers You

Innovative company culture

Flexible work schedules

Family paid leave

Paid healthcare for employees

401k/Pension

Professional development & career advancements

Flexible paid time off

Employee referral bonus

Where you’d work

Fully remote

You can work from

  • United States

About the company

Resilience

  • Industry: Cybersecurity

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 20 checks run
  • 1 red flag

Still hiring?

13 checks

1 red flag

How crowded?

7 checks

No red flags

Fits Me

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  • Must-haves
Details11 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • AWS
  • dbt
  • Snowflake
Type
Full-time
Industry
Cybersecurity
Specialty
Data Engineering
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Experience
3+ years
Tech stack
  • Python
  • SQL
  • AWS
  • dbt
  • Snowflake

Location

Work model
Remote
Region
United States
Remote from
  • United States

Compensation

Salary
$100,000 - 140,000 / year
Pay period
Annual

Employment

Type
Full-time

Company

Industry
Cybersecurity

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