Senior Analytics Engineer

SailPoint Technologies Holdings, Inc.; United States; On-site; USD 109,000 - 183,000; Full time

Benefits offered by this job

Health and wellness coverage: Medical,

Dental and vision insurance

Disability coverage

Life insurance

401(k) with company matching

Flexible vacation policy

8 paid holidays annually

Sick leave

Paid parental leave

EAP

Voluntary benefits

HSA with employer contribution

Job summary

SailPoint Technologies Holdings, Inc. is seeking an Analytics Engineer to join the IT Data Engineering team in the United States.

You will own data from ingestion through reporting, build modular dbt models in BigQuery, and deliver analytics-ready datasets for HR and People Analytics partners. You will design data pipelines, write optimized SQL, implement data quality tests, and maintain security and access controls across dashboards used by HR and leadership.

Qualifications

• 5-8 years of analytics engineering or data engineering experience.
• Advanced SQL skills with window functions, CTEs, and tuning.
• Hands-on experience building data models in dbt with tests and docs.
• Experience with a cloud data warehouse, preferably BigQuery.
• Experience with data pipelines and orchestration tools (Airflow/Cloud Composer).
• Hands-on Tableau Desktop/Tableau Server/Cloud experience with RLS.
• Experience with sensitive/PII data and data privacy controls.
• Strong Git and CI/CD knowledge and practices.
• Familiarity with dimensional modeling and star schemas.

Responsibilities

• Design, build, and maintain modular dbt models in BigQuery for clean datasets.
• Write performant SQL and optimize queries for speed and cost.
• Build data ingestion pipelines from Workday and other sources into the warehouse.
• Develop orchestration and scheduling for data workflows and monitor datasets.
• Define core business metrics to ensure consistency across reports.
• Implement dbt tests, docs, and code reviews to ensure quality.
• Enforce privacy and access controls for PII data, including Row-Level Security.
• Build Tableau data sources and dashboards for HR and leadership audiences.
• Support Tableau administration: permissions, publishing, refresh schedules.
• Create datasets for workforce analytics and forecasting use cases.
• Explore AI-assisted analytics for HR and business partners.
• Troubleshoot data issues end-to-end and drive root-cause fixes.
• Contribute to CI/CD, version control, and deployment practices.
• Collaborate with stakeholders to define KPIs and data products.

Skills

SQL

dbt

BigQuery

Data modeling

ETL pipelines

Tableau

Workday data

Airflow/Cloud Composer

Git & CI/CD

PII data privacy

Education

Bachelor's degree in STEM or equivalent

Tools

dbt

BigQuery

Airflow/Cloud Composer

Tableau

Workday data

Git

Job description

The Role SailPoint is the leader in identity security for the cloud enterprise. Our solutions help thousands of organizations worldwide see and govern who has access to what, so every identity has exactly the access it needs. SailPoint is seeking an Analytics Engineer to join our IT Data Engineering team. In this role, you will build and maintain the data models and pipelines that serve as the trusted foundation for reporting and analytics across SailPoint, with a particular focus on supporting our HR and People Analytics partners. You'll own data from ingestion through the reporting layer, writing the SQL, tests, documentation, and access controls that keep it accurate, secure, and easy for others to build on.

Responsibilities

• Design, build, and maintain modular dbt models in BigQuery that transform raw data into clean, reliable, analysis-ready datasets.
• Write performant, well-structured SQL, and optimize BigQuery queries and models for speed and cost.
• Build and support data ingestion pipelines that bring data from source systems and SaaS applications, including Workday, into the warehouse.
• Develop and maintain orchestration and scheduling for data workflows, and monitor pipelines to make sure data arrives on time and complete.
• Define and standardize business metrics, such as headcount, attrition, and recruiting funnel measures, so the same number shows up consistently in every report and dashboard.
• Implement dbt tests, documentation, and code review practices to ensure data quality and make models easy for others to understand and extend.
• Enforce data privacy and access controls for sensitive and PII data across models, data sources, and dashboards, including Row-Level Security.
• Build and maintain Tableau data sources and dashboards on top of your models, including operational and executive-level views used by HR and leadership.
• Support Tableau administration for the content you own, including user permissions, publishing workflows, and refresh schedules.
• Build datasets that support workforce analytics and forecasting use cases, such as attrition and recruiting capacity planning.
• Explore and help implement AI-assisted analytics, such as self-service query tools built on BigQuery and Google Gemini, for HR and other business partners.
• Troubleshoot data issues end to end, from source system through transformation to reporting, and drive root-cause fixes.
• Contribute to CI/CD, version control, and deployment practices for the team's data projects.
• Partner with business stakeholders to gather requirements, define KPIs, and scope new data products and visualizations.
• Contribute to data modeling standards, naming conventions, and reusable patterns for the broader data team.

Requirements

• 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 working with 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 version control using Git and familiarity with CI/CD workflows.
• Strong understanding of data modeling concepts such as 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 a commitment to data accuracy.
• Clear written and verbal communication skills, with the ability to explain technical concepts to non-technical and executive audiences.

Preferred

• Bachelor's degree in a STEM, business, or related field, or equivalent experience.
• Experience with HR or workforce data, such as headcount, attrition, and recruiting funnel reporting.
• Experience with Workday data, including custom reports or integrations that feed downstream analytics.
• Experience using AI tools for analytical querying or building 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.

Plan for Success

Days 1–30: Integration & Core Tech Onboarding

Focus on gaining environment access, mapping pipeline architectures, and aligning with key stakeholders.

Tech Stack Setup:

Set up your developer environment and establish full access to Google BigQuery, dbt, Git, and Tableau.

Architecture Mapping:

Conduct a deep dive into active dbt models and data pipelines, specifically analyzing how data flows from systems like Workday into BigQuery.

Compliance & Security:

Review security protocols for PII data, focusing on Row-Level Security implementations in Tableau.

Stakeholder Alignment:

Set up regular syncs with your manager, team peers, and key HR/People Analytics stakeholders.

Days 31–60: Active Development & Core Deliverables

Transition from learning to active execution, contributing to production code and standardizing business metrics.

Deploy First dbt Model:

Build, test, and deploy your first modular dbt model transforming raw workforce data in BigQuery.

Standardize Metrics:

Collaborate with HR partners to define and codify a core business metric (e.g., attrition or recruiting funnel metrics) within dbt.

Tableau Visualization:

Develop, secure, and publish a targeted Tableau dashboard answering a specific HR operational query.

Workflow Support:

Actively participate in the team’s Git pull request reviews and support basic data pipeline monitoring.

Days 61–90: Autonomous Ownership & Strategic Optimization

Operate with full autonomy, owning end-to-end projects, improving system performance, and driving innovative pilots.

End-to-End Delivery:

Own an analytics project from initial stakeholder requirements gathering to the final certified Tableau dashboard.

Query Optimization:

Identify and optimize a complex BigQuery query or dbt model to improve processing speed and lower warehouse costs.

AI Analytics Pilot:

Coordinate a small prototype testing AI-assisted querying (such as using Google Gemini on BigQuery) for business users.

Cross-Functional Scope:

Extend analytical support to other business verticals beyond HR as team priorities shift.

Benefits Overview

• Health and wellness coverage: Medical, dental, and vision insurance
• Disability coverage: Short-term and long-term disability
• Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)
• Additional life coverage options: Supplemental life insurance for employees, spouses, and children
• Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account
• Financial security: 401(k) Savings and Investment Plan with company matching
• Time off benefits: Flexible vacation policy
• Holidays: 8 paid holidays annually
• Sick leave
• Parental support: Paid parental leave
• Employee Assistance Program (EAP) and Care Counselors
• Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options
• Health Savings Account (HSA) with employer contribution

As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation.

We estimate the base salary, for US-based employees, will be in this range from (min-max, USD): $108,600 - $183,018.00 Base salaries for employees based in other locations are competitive for the employee’s home location.

SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.

SailPoint (Nasdaq: SAIL) is defining the new era of adaptive identity security. In a world where non-human identities now significantly outnumber humans, our AI-powered platform unifies identity, security, and data intelligence to protect today’s enterprise from advanced identity-based threats. We deliver the identity solution that spans both the breadth of identities and the depth of context needed to drive real-time access with confidence. Built on principles like zero-standing privilege and contextualized risk, our SailPoint platform transforms identity from a point of vulnerability into a powerful security advantage. Trusted by many of the world's leading organizations, SailPoint secures the enterprise with intelligent, autonomous identity security.

The employment policy of SailPoint is to provide equal opportunity to all persons, and it is SailPoint’s policy to take affirmative action to employ and advance in employment protected veterans and individuals with disabilities. It is SailPoint’s policy to recruit, hire, train and promote qualified individuals in all job titles, and ensure that all other personnel actions are administered without regard to race, color, religion, national origin, sex, military and/or veteran status, disability, or other legally protected status, and we will ensure that all employment decisions are based only on valid job requirements. SailPoint does not discriminate on the basis of national origin or citizenship status as provided under the Immigration Reform and Control Act of 1986. Employees and applicants shall not be subjected to harassment, intimidation, threats, coercion, or discrimination because they have engaged in or may engage in any of the following activities: Filing a complaint; Assisting or participating in an investigation, compliance evaluation, hearing, or any other activity related to the administration of the affirmative action provisions of Section 503, VEVRAA, or any other Federal, State or local law requiring equal opportunity for individuals with disabilities or protected veterans; Opposing any act or practice made unlawful by Section 503, VEVRAA, or their implementing regulations in this part, or any other Federal, State or local law requiring equal opportunity for individuals with disabilities or protected veterans; or Exercising any other right protected by section 503, VEVRAA or their implementing regulations. SailPoint will also provide reasonable accommodation to known physical or mental limitations of an otherwise qualified employee or applicant for employment, unless the accommodation would impose undue hardship on the operation of our business. SailPoint’s affirmative action program contains an audit and reporting system which enables us to measure the effectiveness of our program, indicate any need for remedial action, determine the degree to which our objectives have been attained, determine whether protected veterans and individuals with disabilities had had the opportunity to participate in company-sponsored activities, measure our compliance with the program’s specific obligations, and document actions taken to comply with these obligations.