Senior Engineer, Analytics, Operations Intelligence

Crisis Text Line

Senior Engineer at Crisis Text Line enhancing global mental health support through data infrastructure and experimental frameworks. Collaborating with various teams to influence evidence-based practices.

Posted 5/5/2026full-timeRemote • California, Colorado, Connecticut, Florida, Illinois, Iowa, Maryland, Massachusetts, Missouri, Montana, New Jersey, New Mexico, New York, North Carolina, Ohio, Pennsylvania, Tennessee, Texas, Utah, Virginia, Washington • 🇺🇸 United StatesSenior💰 $115,192 - $137,605 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Define and maintain performant, scalable data models in the data warehouse, with a focus on reliability, reusability, and documentation
Partner with Platform and Data Engineering to build and monitor scalable data pipelines in production
Serve as a technical authority on data modeling standards, tooling choices, and engineering best practices across the analytics function
Translate ambiguous business needs into clean, well-scoped data products — from one-time analyses to production-grade dashboards
Advocate for and drive adoption of industry best practices
Define the organization's experimentation standards: what constitutes a well-designed study, how results are interpreted, and how findings are documented and shared
Design and execute experiments — hypothesis testing, data analysis, A/B tests, quasi-experiments, and observational studies — in partnership with Operations, Marketing, and Product stakeholders
Evaluate, select, and implement the experimentation stack — prioritizing open-source and low-overhead tooling that can mature with the practice
Bring statistical rigor to ambiguous questions: help teams move from "we want to know if X works" to a study design that can actually answer that question
Communicate findings to non-technical audiences with clarity, including Senior Leadership and external partners

Requirements

What you’ll need

5+ years working with data in analytical or engineering contexts, with demonstrable depth in SQL and Python
Strong foundation in statistics and experimental design — you understand the difference between correlation and causation and know how to design for the latter
Experience designing or executing controlled experiments or quasi-experimental studies (e.g., difference-in-differences, regression discontinuity, propensity score matching)
Experience building and maintaining data models for downstream analytical use
Fluency with git and collaborative development workflows
Demonstrated ability to work cross-functionally and translate between technical and non-technical stakeholders

Benefits

Comp & perks

Comprehensive medical, dental, and vision options that prioritize accessibility and financial peace of mind
Employer-funded HSA contributions
Generous PTO, sick time, and 19 paid holidays with a winter break
12 weeks of fully paid parental leave after 26 consecutive weeks of service
Monthly internet and mental health stipends
Annual Wellness Stipend
Home office and professional development stipends
403(b) retirement plan with employer contribution
Sabbatical after 3 years of service

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythondata modelingstatistical analysisexperimental designA/B testingdata analysishypothesis testingdata pipelinesdata warehousing

Soft Skills

communicationcross-functional collaborationproblem-solvingclarity in presentationadvocacy for best practicestechnical authoritytranslating technical conceptsstakeholder engagementdocumentationreusability