Senior Analytics Engineer
$132k - $182kOkta
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Global Data & Insights Team Okta's Enterprise Data & Insights team powers the data infrastructure that drives decision-making across the company by building reliable pipelines, scalable data platforms, and production-grade data products. We partner closely with internal Data and Insights Analysts as well as external Okta Product teams to unlock business value through robust data architecture, efficient data movement, and the engineering foundations that make data trustworthy at scale. The Senior Analytics Engineer, Enterprise Opportunity We are seeking a Senior Analytics Engineer to support the Enterprise by building reliable, well-modeled, and trusted data for reporting, decision-making, and emerging AI use cases. This role sits at the intersection of business context and technical execution. You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence. You will partner closely with Finance, People and Company Operations stakeholders, Data Analysts, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows. What you’ll be doing Data Modeling & Semantics Design, build, and maintain scalable data models using dbt and Snowflake Define and standardize core Finance, HR and Enterprise level metrics (e.g., revenue, ARR, billing, Attrition, Executive Insights, Security) with clear, governed logic Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets Contribute to a shared semantic layer that supports both analytics and AI use cases AI-Ready Data & Snowflake Ecosystem Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence Enable structured data foundations that support LLM-powered use cases, semantic querying, and intelligent applications Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and trust Data Quality, Governance & Trust Implement robust testing, validation, and documentation practices in dbt Ensure consistency across reports and dashboards through shared definitions and reusable models Apply data governance best practices, including access controls, lineage, and auditability Partner across teams to establish clear ownership and accountability for data assets Collaboration & Delivery Partner with Finance, Analysts, and cross-functional stakeholders to translate business needs into data solutions Support self-service analytics by building intuitive, reusable datasets Contribute to scalable data workflows that balance immediate business needs with long-term maintainability Work within an agile environment, contributing to planning, prioritization, and continuous improvement AI and Data Mindset Demonstrate an AI-first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision-making Understand the importance of well-modeled, well-documented, and semantically clear data for AI and LLM-based use cases A level of comfort leveraging AI-assisted workflows to improve productivity, code quality, and consistency Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Enterprise analytics What you’ll bring to the role 5–8+ years of experience in Analytics Engineering, Data Engineering, or similar roles Strong SQL skills and experience building analytics-ready data models Mentorship & Engineering Excellence: Mentorship, raising the technical bar, establishing organization-wide standards for dbt/SQL quality and CI/CD Hands-on experience with dbt and Snowflake or other ETL, Modeling and database platforms Solid understanding of data modeling principles, including dimensional modeling and semantic design Ability to navigate highly ambiguous business challenges, translating vague, complex, or competing goals from executive stakeholders into clear, actionable, and robust data solutions Experience translating business requirements into clear, maintainable data logic Familiarity with SaaS metrics and Finance and People data (e.g., ARR, revenue recognition, billing, attrition etc.) Experience with data quality, testing, and documentation best practices Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus Experience with BI tools such as Tableau or Looker Strong communication skills and ability to work across technical and business teams What you can look forward to as an Okta employee! Amazing Benefits Making Social Impact Fostering Diversity, Equity, Inclusion and Belonging at Okta Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at
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Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in the San Francisco Bay area is between:$132,000—$182,000 USD
Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$118,000—$162,000 USD
The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.$112.42k - $168.62k
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...it’s here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data...SeniorTemporary workWork at officeLocal area$179k - $203k
Join to apply for the Sr. Analytics Engineer role at The Nuclear Company Join to apply for the Sr. Analytics Engineer role at The Nuclear Company... ...Nuclear Company is seeking a highly skilled and experienced Senior Analytics Engineer to join our growing data team. This role...SeniorFull time- Senior Data Engineer Employment Type :- W2 Duration :- Long Term Visa Type :- All Visa applicable which are ready for W2 Location- Bellevue... ...scalable data pipelines to support data integration and analytics. Work with large datasets, transforming and preparing data...Senior
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...Integrate data from disparate sources, including APIs, flat files, and third‑party data, ensuring comprehensive data availability for analytics and reporting. Implement and monitor data quality measures to ensure accuracy, completeness, and reliability of data. Design and...SeniorWork at office$182k - $242k
...Learn more at . What You’ll Do The Data Engineering Team builds and operates the foundational data infrastructure powering analytics, AI, and operational decision‑making across... ...at scale. About The Role We're seeking a Senior Data Engineer to design and build the...SeniorPermanent employmentTemporary workCasual workWork at officeFlexible hours- ...making a difference. Job Description We're looking for a Senior Civil Engineer to join our Advanced Manufacturing group, and you'll have... ...written and verbal communication skills ~ Strong analytical, problem-solving and interpersonal skills ~ Ability to collaborate...SeniorWork at officeLocal area
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...defining work. We're all in on this mission. If you are too, let's talk. The Auth0 Data Engineering Team Within Auth0, the Data Engineering team builds solutions to support analytics needs for the whole organization and is in charge of the Data Platform. It is...Full timeLocal areaWorldwideFlexible hours- ...AvePoint is seeking an analytical and innovative Data Scientist in Seattle, WA, to join our Data & AI team. This role focuses on developing and deploying advanced machine learning models to tackle real-world business challenges while optimizing data pipelines. The ideal...SeniorFull time
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...Description Job Description Team Red Dog is building a pipeline of qualified candidates for an anticipated Senior AI Data Scientist / Analytics Engineer opportunity with our client, a leading cloud and software provider and AI-driven technology organization. While...SeniorContract workLocal areaRemote work- ...Apple Inc. in Cupertino, CA seeks a Senior Data Scientist to drive high-impact analytics for iCloud and Apple’s cloud services. You will collaborate with engineering, product, and business teams to uncover opportunities, optimize user experiences, and influence decisions...SeniorFull time
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As an Analytics Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our GTM and Product teams. You will collaborate with key stakeholders in GTM and Product to build scalable solutions to transform...Work experience placementWork at officeHome officeVisa sponsorshipRelocation package- ...build. We are all here to genuinely do our life's best work. Engineering at Blinq Our engineering team is the engine behind Blinq’s... ...feel right at home here. Role & Impact We're looking for an Analytics Engineer to turn Blinq's growing data into trusted, decision‑ready...Work at officeFlexible hoursNight shift3 days per week
$60 - $85 per hour
...Role Overview Build and operate the data infrastructure that the CFO and Finance team rely on. You will join a small, fast-moving engineering team at a high-growth AI company, responsible for creating and maintaining robust pipelines, troubleshooting issues quickly, and...Hourly payFull timeContract workFreelanceWork at office- About The Team The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs. It builds internal data products that scale decision‑making across business teams and drive operational efficiency. Data is fundamental to DoorDash’s success...Hourly payWork at officeRemote workFlexible hours
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