Data Staff Member – Analytics Engineer

Perplexity

. Design and maintain high-quality data models, marts, and pipelines .

Posted 10/5/2026full-timeUnited StatesLead💰 $175,000 - $330,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data models, pipelines, and warehouse architecture while ensuring data quality, security, and compliance. Proficient in leveraging AI for workflow automation and translating analytical needs into effective data solutions.

Highest-signal resume keywords

Deep SQL ExpertiseHands-On Production Experience With DbtDimensional ModelingData Pipeline ManagementAI-Enabled Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLDbtDimensional ModelingData Pipeline DevelopmentData Warehouse AdministrationPerformance TuningData Quality AssuranceData LineageData Access ControlsWorkflow Automation

Soft Skills

Operational JudgmentProblem-SolvingCollaboration

Tools & Technologies

Data Warehousing ToolsAI ToolsData Transformation Frameworks

Industry Keywords

Data GovernanceData PrivacyData Lifecycle ManagementData ContractsAuditability

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Design and maintain high-quality data models, marts, and pipelines
Help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene
Make the warehouse AI-readable through documentation, semantic context, metadata, lineage, and retrieval patterns
Define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes
Define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling
Partner with engineering, security, legal, and finance on secure, privacy-aware data access and AI-enabled workflows
Build AI-assisted workflows for issue detection, root-cause explanation, fix suggestions, test generation, and reduced firefighting
Automate repetitive workflows, improve tooling, and increase data team productivity
Partner with data science, engineering, product, finance, and go-to-market teams to translate analytical needs into durable systems
Evaluate build-versus-buy tradeoffs, manage vendor relationships, and select scalable tools

Requirements

What you’ll need

6+ years of experience as an analytics engineer, data engineer, data scientist, or closely related role
Deep SQL expertise, including correctness, performance, joins, grain, and edge cases
Hands-on production experience with dbt or a similar transformation framework
Understanding of dimensional modeling, data contracts, testing, and analytical schema evolution
Experience building, maintaining, debugging, and improving production data pipelines
Experience with warehouse administration, access patterns, permissions, performance tuning, cost management, or operational ownership
Knowledge of data ownership, access controls, privacy, retention, lineage, auditability, and sensitive data risks
Experience using AI for development, documentation, QA, exploration, and workflow automation
Ability to translate analytical requirements into trusted models, metrics, and reusable data assets
Ability to take projects from ambiguous problem to production-quality system with minimal oversight
Operational judgment regarding reliability, governance, security, cost, and maintainability
Ability to come into the office four days per week
U.S. work visa sponsorship question is included in the application

Benefits

Comp & perks

Equity
Health insurance
Dental insurance
Vision insurance
Retirement benefits
Fitness benefits
Commuter benefits
Dependent care accounts
Regionally tailored benefits for full-time employees outside the U.S.