About Us:
At Everly, our vision is to change the paradigm of insurance. We know life insurance can be confusing and complex. We know that most people purchase life insurance at a milestone moment and file it away for the future. We want to change how people think about, buy, and use life insurance by being a partner in life’s journey. We are focused on making things that matter, making meaningful connections, and making things work WAY better. Our goal is to provide radically transparent, consumer-first insurance solutions.
We are looking for people with a continuous improvement mindset. Those who think the opposite of “This is how we’ve always done it”. We want people on our team who are always asking “How can we do this better?”
Our company values are a guide to our behavior and help inform our decisions. We want people who embody those values of breaking down barriers, owning the outcome, embracing the journey, and sparking joy.
This is a remote position based in the US with occasional travel.
About the role:
We're looking for a Senior Analytics Engineer, Data Platform to serve as the product owner of our analytics platform and hands-on technical lead for data platform engineering and governance. This is a senior individual contributor role with outsized impact - you'll operate as the technical authority for our data platform, setting direction, owning the roadmap, and rolling up your sleeves to build.
In this role, you'll own the full data lifecycle from ingestion and transformation through to the semantic layer and executive dashboards that our leadership, operators, and actuaries depend on daily. Beyond building, you'll govern, ensuring our platform is compliant, well-documented, and resilient as the business scales.
You'll work closely with the Head of Data, Head of Modeling, cross-stream data stewards, actuarial team, and third-party infrastructure partners. You'll also serve as a technical mentor to a junior Analytics Engineer and Data Scientist.
The ideal candidate has deep hands-on engineering skills, a product mindset, and the communication ability to translate complex platform trade-offs to senior leadership. If you thrive at the intersection of data engineering, governance, and business intelligence — and want to shape the data foundation of a company reimagining life insurance — this role is for you.
What You’ll Do:
Platform Product Ownership
Data Pipeline Ownership
Enterprise Data Modeling & Governance
Systems of Record & AI Data Infrastructure
Semantic Layer & BI
Actuarial & Advanced Analytics Support
Skills and Experience:
· Bachelor’s degree in computer science, Data Engineering, Statistics, Mathematics, or a related field — or equivalent work experience
· 8+ years of experience in analytics engineering, data engineering, or a closely related role, with demonstrated progression in scope and ownership
· Hands-on experience with dbt (data build tool) for transformation, data modeling, and testing at scale
· Strong proficiency with Snowflake, including dynamic data masking, RBAC, performance optimization, and cost governance
· Hands-on experience with AWS data services including Glue, Step Functions, S3, and Lambda
· Strong SQL proficiency; Python required at this level (data pipeline development, scripting, automation)
· Demonstrated experience owning a BI delivery roadmap and building dashboards for executive and operational audiences
· Demonstrated experience building and maintaining enterprise data models and semantic layers in a multi-product, multi-source environment
· Strong understanding of data governance, data quality frameworks, and privacy best practices
· Hands-on experience with infrastructure-as-code tools (Terraform, CloudFormation, or similar)
· Working knowledge of data privacy and security compliance frameworks relevant to US life and annuity carriers, including GLBA, NAIC MDL-668.
· Experience owning or contributing to a technical product or platform roadmap
· Demonstrated ability to manage competing stakeholder priorities and communicate platform trade-offs to senior leadership
Preferred
Competencies
· Platform ownership mindset — you think in systems, not tickets, and take accountability for the health of the entire data platform
· Strong analytical mindset with high attention to detail and a zero-tolerance attitude toward data quality issues
· Excellent written and verbal communication skills — able to translate complex platform trade-offs and technical concepts for senior non-technical stakeholders
· Natural collaborator with experience working across engineering, business, actuarial, and compliance teams
· Self-directed with the ability to manage competing priorities and drive clarity in ambiguous, fast-paced environments
· A continuous improvement mindset — you're never satisfied with "good enough" and actively look for ways to raise the bar
· Comfortable acting as a technical mentor and setting standards for more junior team members
At Everly, we celebrate our diverse backgrounds and support our differences, and we are dedicated to equal employment opportunities regardless of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.
We’re also committed to adding new perspectives to our team and invite applications from people of all walks of life. We understand that experience comes in many forms, so if you believe you’re close to what we’re looking for, please consider applying.
Everly offers a competitive salary and as a full-time employee you are eligible for our robust benefits package including:
Visit the career section to apply and submit your resume. EOE