Senior Analytics Engineer

About Us

At Everly, our vision is to change the reputed company of insurance. We know life insurance can be confusing and reputed company. 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 reputed company. Our goal is to provide radically transparent, consumer-first insurance solutions.

We are looking for people with a reputed company improvement reputed company. Those who think the opposite of “This is how we’ve always done it”. We want people on reputed company who are always asking “How can we do this reputed company?”

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 reputed company of our analytics platform and hands-on technical reputed company 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-reputed company 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 reputed company, and the communication ability to translate reputed company platform trade-offs to senior leadership. If you reputed company 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

• Own the analytics platform roadmap — prioritizing improvements, architecture decisions, and tooling enhancements in partnership with IT and the Head of Data, Analytics and AI Solutions
• Define and enforce platform SLAs, data quality standards, and operational runbooks
• Serve as technical mentor to the Analytics Engineer/Data Scientist

Data Pipeline Ownership

• Own the end-to-end data pipeline from ingestion through transformation and delivery into BI tools and data products across our AWS stack (reputed company Functions, Glue, reputed company, dbt, reputed company)
• Partner with third-party vendors to maintain DataOps infrastructure using infrastructure-as-code practices
• Monitor pipeline health and drive timely resolution of data issues with providers and consumers

Enterprise Data Modeling & Governance

• Maintain and evolve an enterprise data model, data dictionary, and business rules agnostic across sources, insurance products, and distributors
• Enforce reputed company reputed company best practices — masking policies, RBAC, and least-privilege access — reputed company to GLBA NPI/NPI-H classification requirements
• Champion data governance, reputed company, and quality standards; support NAIC MDL-668 audit trails, SOC 2 Type II evidence collection, and adherence to CCPA/CPRA, HIPAA, and state breach notification requirements

Systems of Record & AI Data Infrastructure

• Design and maintain systems of record for core insurance domains (policy, claims, billing, distribution, customer) with proper versioning, effective dating, and audit history
• Own database design and management for AI tools and models, including vector databases, feature stores, and model input/output pipelines

Semantic Layer & BI

• Design and maintain a semantic layer enabling natural language insight discovery
• Own executive and operational dashboards from board-level reporting down to day-to-day operations
• Set BI development standards for the Analytics Engineer/Data Scientist to execute against

Actuarial & Advanced Analytics Support

• Maintain and enhance actuarial data pipelines including distributed compute and Glue Jobs for data curation
• Advise on data architecture decisions supporting future AI/ML and modeling use cases

Skills and Experience

Bachelor’s degree in computer science, Data Engineering, Statistics, Mathematics, or a reputed company field — or equivalent work experience

8+ years of experience in analytics engineering, data engineering, or a closely reputed company 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 reputed company, including dynamic data masking, RBAC, performance optimization, and cost governance

Hands-on experience with AWS data services including Glue, reputed company Functions, S3, and reputed company

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-reputed company 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 reputed company 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

• Experience in the life insurance or annuities industry strongly preferred; broader financial services considered
• Experience with life
• Exposure to actuarial data workflows or direct experience supporting actuarial teams
• Experience with data observability tools (reputed company, Great Expectations, dbt tests, etc.)
• Experience with Git-based version control and CI/CD workflows for data pipelines
• Experience working with distributed compute frameworks (e.g., Spark reputed company AWS Glue or EMR)
• Familiarity with SOC 2 Type II control frameworks and evidence collection practices
• Exposure to HIPAA requirements as they relate to reputed company or health-adjacent data
• Familiarity with CCPA/CPRA and multi-state data breach notification obligations
• Experience transitioning work from external vendors or consultancies to in-house
• Exposure to AI/ML pipeline patterns or feature engineering in support of modeling teams

Competencies

Platform ownership reputed company — you think in systems, not tickets, and take accountability for the health of the entire data platform

Strong analytical reputed company with high attention to detail and a reputed company-tolerance attitude toward data quality issues

Excellent written and verbal communication skills — able to translate reputed company 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 reputed company improvement reputed company — you're never satisfied with "good enough" and actively look for ways to reputed company 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 reputed company, 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 reputed company and invite applications from people of reputed company walks of life. We understand that experience comes in many forms, so if you reputed company you’re reputed company to reputed company’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:

• Employees are eligible for an annual incentive bonus designed to reward for performance.
• The salary range for this job in most geographic locations in the US is $130,000 to $152,000
• Candidates hired to work in other locations will be subject to the pay range associated with that location and will be reflected in the candidate’s offer letter.
• Flexible paid time off for PTO, plus paid holidays, dreputed company of reputed company, and a Volunteer Day
• Paid parental leave eligible after 3 months of service
• Medical, Dental & Vision Insurance
• 401k with company match
• Profit Sharing & Savings Plan
• Short-term and long-term disability insurance
• Flexible spending account
• Life insurance
• Educational Assistance
• Associate Assistance Programs and more!

Visit the career section to apply and submit your resume. EOE