Senior Analytics Engineer

SailPoint

. Design, build, and maintain modular dbt models in BigQuery .

Posted 10/13/2026full-timeAustin • Texas • United StatesSenior💰 $108,600 - $183,018 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data models using dbt and BigQuery, with a strong focus on SQL optimization and data privacy controls. Proficient in developing analytics solutions and visualizations using Tableau, while effectively collaborating with stakeholders to define business metrics and KPIs.

Highest-signal resume keywords

Advanced SQL SkillsDbt Model DevelopmentTableau Dashboard CreationData Pipeline OrchestrationData Privacy Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLDbtBigQueryTableauData ModelingData IngestionPythonGitCI/CDDimensional Modeling

Soft Skills

Attention to DetailClear Communication

Tools & Technologies

AirflowCloud ComposerFivetranAirbyteGoogle Cloud Platform

Industry Keywords

WorkdayHR DataSaaSCybersecurityPII Data

Tech Stack

Tools & technologies

AirflowBigQueryCloudCyber SecurityGoogle Cloud PlatformPythonSQLTableau

About the role

Key responsibilities & impact

Design, build, and maintain modular dbt models in BigQuery
Write and optimize SQL queries and BigQuery models for speed and cost
Build and support ingestion pipelines from source systems and SaaS applications, including Workday
Develop, maintain, and monitor orchestration and scheduling for data workflows
Define and standardize business metrics including headcount, attrition, and recruiting funnel measures
Implement dbt tests, documentation, and code review practices
Enforce privacy and access controls for sensitive and PII data, including Row-Level Security
Build and maintain Tableau data sources and operational and executive dashboards
Support Tableau administration, including permissions, publishing workflows, and refresh schedules
Build datasets for workforce analytics and forecasting, including attrition and recruiting capacity planning
Explore and help implement AI-assisted analytics using BigQuery and Google Gemini
Troubleshoot data issues end to end and drive root-cause fixes
Contribute to CI/CD, version control, deployment practices, data modeling standards, naming conventions, and reusable patterns
Partner with stakeholders to gather requirements, define KPIs, and scope data products and visualizations
Own end-to-end analytics projects from stakeholder requirements through certified Tableau dashboards
Optimize queries and dbt models to improve processing speed and reduce warehouse costs
Coordinate AI-assisted querying prototypes for business users
Extend analytical support beyond HR as team priorities shift

Requirements

What you’ll need

5–8 years of experience in analytics engineering, data engineering, or a similar role
Advanced SQL skills, including window functions, CTEs, and query performance tuning
Hands-on experience building and maintaining data models in dbt, including tests, macros, and documentation
Experience working in a cloud data warehouse, preferably BigQuery
Experience building or supporting data pipelines and using orchestration tools such as Airflow, Cloud Composer, or similar
Hands-on experience with Tableau Desktop and Tableau Server or Tableau Cloud, including published data sources, calculated fields, parameters, and Row-Level Security
Experience working with sensitive or PII data and applying data privacy and access controls
Proficiency with Git and familiarity with CI/CD workflows
Strong understanding of dimensional modeling, star schemas, granularity, and slowly changing dimensions
Experience gathering requirements from business users and translating them into data solutions
Strong attention to detail and commitment to data accuracy
Clear written and verbal communication skills, including explaining technical concepts to non-technical and executive audiences
Bachelor's degree in a STEM, business, or related field, or equivalent experience (preferred)
Experience with HR or workforce data
Experience with Workday data, including custom reports or integrations
Experience using AI tools for analytical querying or AI-assisted self-service reporting
Experience with Python for data pipelines, automation, or analysis
Experience with data ingestion tools such as Fivetran, Airbyte, or similar
Familiarity with Google Cloud Platform services beyond BigQuery
Experience in a SaaS or cybersecurity environment

Benefits

Comp & perks

Medical, dental, and vision insurance
Short-term and long-term disability coverage
Life insurance and Accidental Death & Dismemberment (AD&D)
Supplemental life insurance for employees, spouses, and children
Flexible spending accounts for health care and dependent care; limited purpose flexible spending account
401(k) Savings and Investment Plan with company matching
Flexible vacation policy
8 paid holidays annually
Sick leave
Paid parental leave
Employee Assistance Program (EAP) and Care Counselors
Voluntary Legal Assistance, Critical Illness, Accident, Hospital Indemnity, and Pet Insurance options
Health Savings Account (HSA) with employer contribution
May be eligible for SailPoint Corporate Bonus Plan or role-specific commission
Potential eligibility for equity participation