Analytics Engineer Jobs in Austin, TX
Analytics Engineer jobs in Austin, Texas are in strong demand, concentrated in the Domain, Downtown, and the East Austin tech corridor across cloud data infrastructure, fintech, and enterprise software. Employers hiring right now include Apple, Amazon, and AMD. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 32+ Analytics Engineer jobs
At SolarWinds, we're a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions.
The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We're looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you're looking to build your career with an exceptional team, you've come to the right place. Join SolarWinds and grow with us!
ROLE OVERVIEW
As an Advisory Analytics Engineer, you will own end-to-end analytics delivery — from well-governed dbt data models through to polished Tableau dashboards or AI solutions consumed by business leaders across Marketing, Revenue, Customer Success, and Product.
This is a high-impact individual contributor role with balanced accountability across transformation and delivery. You'll spend roughly half your time on dbt model development and half on Tableau dashboard delivery and business stakeholder engagement — the bridge between our Analytics Engineering platform and the business teams who rely on it. You'll collaborate closely with our AE community in Austin, Ireland and the Philippines, aligning data models and metrics to real business requirements. You will also be a point person in our San Francisco privet equity office building data solutions alongside their analytics engineering team.
The right candidate is equally comfortable writing production-grade dbt SQL and sitting with a senior stakeholder to translate a business question into a data product. You bring craft to both sides of that equation.
KEY RESPONSIBILITIES
- Design, build, and maintain dbt data models (Mart, Conformed, Rpt layers) following SolarWinds modelling standards, with a focus on consumption-ready, well-tested data products
- Deliver high-quality Tableau dashboards and self-serve analytics assets for business teams across Marketing, Revenue, Customer Success, Finance, and Product — from requirements through to stakeholder sign-off
- Own the Tableau-to-dbt integration layer: consume MetricFlow semantic layer definitions in Tableau Cloud, ensuring metrics are consistent, governed, and aligned with company-wide standards
- Partner directly with business stakeholders to translate requirements into model specifications and analytics deliverables — the primary analytics contact for your assigned business domains
- Champion data quality — write dbt tests, enforce delivery SLAs, and embed lineage documentation as standard practice
- Lead and run CI/CD processes for your dbt models — branch-based development, PR reviews, and automated test gates
- Support and mentor junior and mid-level analysts, promoting best practices in SQL, dbt modelling, and Tableau development
- Contribute to the rollout of self-serve analytics enablement programmes for business users, reducing dependency on direct analyst requests
- This role requires periodic onsite visits to our privet equity sponsors office in San Fransico
REQUIRED SKILLS & EXPERIENCE
- 5+ years of experience in analytics engineering, business intelligence, or a related data role
- Production-grade dbt experience (dbt Core or dbt Cloud) — you've designed and maintained multi-layer models at scale, written macros, and contributed to shared packages
- Expert-level Tableau skills — you build governed, performant, and user-friendly dashboards from scratch and can explain design decisions to stakeholders
- Python proficiency for analytics use cases — data wrangling, scripting, custom dbt macros, or exploratory analysis
- Strong SQL fundamentals — complex analytical queries, window functions, CTEs, aggregations, and query performance awareness
- Experience with a modern cloud data warehouse (BigQuery, Snowflake, or Redshift) including understanding of materialisation and performance trade-offs
- Git and branch-based development workflows — you treat analytics code with software engineering discipline
- CI/CD experience in a data context — dbt test gates, PR-triggered runs, or equivalent pipeline automation
- Solid understanding of data modelling concepts — star schema, slowly changing dimensions, metric normalisation
- Strong communication skills — you can present data findings to non-technical audiences and translate vague business questions into clear model briefs
- Comfort using AI coding assistants and LLM-based tools in analytics workflows
NICE TO HAVE
- Hands-on MetricFlow or dbt Semantic Layer experience in a production environment
- Hands on experience with demand / marketing funnel data (web, download, trial, lead)
- Familiarity with Salesforce or NetSuite as source systems
- Experience in a SaaS or recurring revenue business — ARR, churn, expansion, and NRR metrics
- Exposure to Dataplex, Fivetran, or similar data cataloguing and ELT tooling
- Experience with next-generation self-serve BI platforms
SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law.
All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice
At SolarWinds, we're a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions.
The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We're looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you're looking to build your career with an exceptional team, you've come to the right place. Join SolarWinds and grow with us!
ROLE OVERVIEW
As an Advisory Analytics Engineer, you will own end-to-end analytics delivery — from well-governed dbt data models through to polished Tableau dashboards or AI solutions consumed by business leaders across Marketing, Revenue, Customer Success, and Product.
This is a high-impact individual contributor role with balanced accountability across transformation and delivery. You'll spend roughly half your time on dbt model development and half on Tableau dashboard delivery and business stakeholder engagement — the bridge between our Analytics Engineering platform and the business teams who rely on it. You'll collaborate closely with our AE community in Austin, Ireland and the Philippines, aligning data models and metrics to real business requirements. You will also be a point person in our San Francisco privet equity office building data solutions alongside their analytics engineering team.
The right candidate is equally comfortable writing production-grade dbt SQL and sitting with a senior stakeholder to translate a business question into a data product. You bring craft to both sides of that equation.
KEY RESPONSIBILITIES
- Design, build, and maintain dbt data models (Mart, Conformed, Rpt layers) following SolarWinds modelling standards, with a focus on consumption-ready, well-tested data products
- Deliver high-quality Tableau dashboards and self-serve analytics assets for business teams across Marketing, Revenue, Customer Success, Finance, and Product — from requirements through to stakeholder sign-off
- Own the Tableau-to-dbt integration layer: consume MetricFlow semantic layer definitions in Tableau Cloud, ensuring metrics are consistent, governed, and aligned with company-wide standards
- Partner directly with business stakeholders to translate requirements into model specifications and analytics deliverables — the primary analytics contact for your assigned business domains
- Champion data quality — write dbt tests, enforce delivery SLAs, and embed lineage documentation as standard practice
- Lead and run CI/CD processes for your dbt models — branch-based development, PR reviews, and automated test gates
- Support and mentor junior and mid-level analysts, promoting best practices in SQL, dbt modelling, and Tableau development
- Contribute to the rollout of self-serve analytics enablement programmes for business users, reducing dependency on direct analyst requests
- This role requires periodic onsite visits to our privet equity sponsors office in San Fransico
REQUIRED SKILLS & EXPERIENCE
- 5+ years of experience in analytics engineering, business intelligence, or a related data role
- Production-grade dbt experience (dbt Core or dbt Cloud) — you've designed and maintained multi-layer models at scale, written macros, and contributed to shared packages
- Expert-level Tableau skills — you build governed, performant, and user-friendly dashboards from scratch and can explain design decisions to stakeholders
- Python proficiency for analytics use cases — data wrangling, scripting, custom dbt macros, or exploratory analysis
- Strong SQL fundamentals — complex analytical queries, window functions, CTEs, aggregations, and query performance awareness
- Experience with a modern cloud data warehouse (BigQuery, Snowflake, or Redshift) including understanding of materialisation and performance trade-offs
- Git and branch-based development workflows — you treat analytics code with software engineering discipline
- CI/CD experience in a data context — dbt test gates, PR-triggered runs, or equivalent pipeline automation
- Solid understanding of data modelling concepts — star schema, slowly changing dimensions, metric normalisation
- Strong communication skills — you can present data findings to non-technical audiences and translate vague business questions into clear model briefs
- Comfort using AI coding assistants and LLM-based tools in analytics workflows
NICE TO HAVE
- Hands-on MetricFlow or dbt Semantic Layer experience in a production environment
- Hands on experience with demand / marketing funnel data (web, download, trial, lead)
- Familiarity with Salesforce or NetSuite as source systems
- Experience in a SaaS or recurring revenue business — ARR, churn, expansion, and NRR metrics
- Exposure to Dataplex, Fivetran, or similar data cataloguing and ELT tooling
- Experience with next-generation self-serve BI platforms
SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law.
All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice
See All 32 Analytics Engineer Jobs in Austin
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Find Analytics Engineer JobsAnalytics Engineer Job Market in Austin
Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
Analytics Engineer Jobs in Austin: Frequently Asked Questions
How do I get a analytics engineer job in Austin?
Austin's strongest hiring comes from cloud-native SaaS companies, fintech firms, and healthcare technology platforms, with roles concentrated in the Domain, downtown, and the emerging East Austin corridor. Candidates who stand out locally tend to have hands-on experience with dbt, Snowflake, or BigQuery and a portfolio showing end-to-end data model builds. Networking through Austin Data Community meetups and local tech events can open doors that online applications alone won't.
Which companies hire analytics engineers in Austin?
Employers hiring analytics engineers in Austin right now include Apple, Amazon, and AMD, based on current listings on Migrate Mate as of September 2026. Austin's mix of high-growth SaaS startups, established fintech companies, and major enterprise technology offices means openings range from lean analytics teams to large centralized data organizations.
Are there remote analytics engineer jobs in Austin?
Yes, analytics engineering is well suited to remote and hybrid arrangements since the work centers on SQL modeling, pipeline development, and stakeholder documentation rather than on-site operations. About 0% of analytics engineer openings tied to Austin are remote or hybrid as of September 2026, reflecting how broadly Austin-based tech employers have adopted flexible work. Fully remote roles tend to cluster in pure-software companies, while hybrid schedules are more common at fintech and healthcare tech firms.
How can I get a analytics engineer job in Austin with little or no experience?
The most realistic entry path in Austin is landing a junior data analyst or BI analyst role at one of the city's many mid-size SaaS or fintech companies, then building dbt and warehouse skills on the job. Austin employers such as growth-stage startups and enterprise tech divisions often hire entry-level analysts into analytics engineering tracks. A public GitHub portfolio with a real dbt project and documented data models gives local hiring managers something concrete to evaluate and consistently separates early-career candidates.
Which industries hire the most analytics engineers in Austin?
Most analytics engineer openings in Austin sit in Technology & Software and Banking & Financial Services, per current listings on Migrate Mate as of September 2026. Austin's concentration of cloud software companies, payments and banking platforms, and health-tech employers creates steady, overlapping demand for professionals who can build reliable data models and translate raw warehouse data into business-ready metrics.
See All 32 Analytics Engineer Jobs in Austin
Find roles in Austin that match your experience and apply in just a few clicks.
Find Analytics Engineer Jobs