Analytics Engineer, Growth & Placement

Acrisure

Analytics Engineer designing and maintaining data pipelines for acrisure, a global fintech leader. Working closely with engineering and analytics teams for impactful decision-making.

Posted 7/17/2026full-timeAustin • Missouri, Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining end-to-end data pipelines, with a strong focus on data modeling, transformation, and delivery. Proficient in SQL and dbt, with a commitment to data quality and best practices in documentation and version control.

Highest-signal resume keywords

SQL SkillsData Pipeline DevelopmentDbt Model DevelopmentPalantir Foundry Application BuildingData Modeling Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentSQLDbtData TransformationData ModelingIncremental MaterializationData Quality TestingVersion ControlDocumentationData Warehousing

Soft Skills

CommunicationPrioritizationCritical EvaluationAdaptabilityBusiness Alignment

Tools & Technologies

Palantir FoundryAI ToolsGitCloud Data WarehouseClaudePalantir AI FDEGemini

Industry Keywords

Analytics EngineeringData EngineeringData InfrastructureEnterprise ReportingOperational Data LayerSSOT Data Layer

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

Design, build, and maintain end-to-end data pipelines — from raw source ingestion through transformation, modeling, and delivery — with reliability and performance in mind
Develop and extend dbt models on top of Acrisure's data warehouse, with particular focus on the operational and SSOT data layers that underpin enterprise reporting
Build Palantir Foundry applications, Ontology objects, and workflows that surface data to analysts and business stakeholders in forms they can act on moving the team beyond ad hoc querying toward scalable, reusable tooling
Partner closely with analysts and business intelligence teammates to understand downstream needs and engineer upstream data assets accordingly
Uphold data modeling best practices in the work you touch: clear documentation, version control via Git, incremental build strategies, and data quality testing
Leverage AI tools (Claude, Palantir AI FDE, Gemini, and others) to accelerate development, while applying rigorous critical evaluation to any AI-generated code or logic before it ships
Contribute to the pod's overall data strategy, surface infrastructure gaps, raise architectural improvements, and help shape how the Growth & Placement pod's data layer evolves

Requirements

What you’ll need

4–6 years of professional experience in analytics engineering, data engineering, or a closely related data infrastructure role
Strong SQL skills across a modern cloud data warehouse
Hands-on experience with dbt or an equivalent transformation framework — you understand the mechanics of models, tests, documentation, and incremental materialization strategies
Demonstrated ability to build data pipelines from scratch, including sourcing, transformation logic, and delivery layer
A genuine interest in learning Palantir Foundry and the intellectual openness to develop deep expertise as part of your growth on the team
Comfort operating in ambiguity within a small, fast-moving team — you can manage your own priorities and communicate when support is needed
A business-aligned mindset: you care about why a pipeline exists, not just whether it runs
A skeptic's relationship with AI tools — you use them to move faster, but you validate outputs and take responsibility for the code you ship
A bachelor's degree in computer science, Mathematics, Statistics, or a related field, or equivalent professional experience.

Benefits

Comp & perks

Competitive compensation
Generous vacation policy, paid holidays, and paid sick time
Medical, Dental, and Vision Insurance (employee-paid)
Company-paid Short-Term and Long-Term Disability Insurance
Company-paid Group Life insurance
Company-paid Employee Assistance Program (EAP) and Calm App subscription
Employee-paid Pet Insurance and optional supplemental insurance coverage
Vested 401(k) with company match and financial wellness programs
FSA, HSA, and commuter benefits options
Paid maternity leave, paid paternity leave, and fertility benefits
Career growth and learning opportunities