Senior Analytics Engineer

Independence Pet Group

. Own analytics engineering roadmap, priorities, standards, and operating practices .

Posted 10/9/2026full-timeRemote • United StatesSenior💰 $112,522 - $140,653 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics engineering, focusing on advanced SQL, dbt model development, and data architecture across bronze, silver, and gold layers. Proven ability to lead complex data initiatives, ensuring data quality, governance, and effective communication with stakeholders.

Highest-signal resume keywords

Advanced SQL SkillsDeep Dbt ExperienceStrong Databricks ExperienceData Governance ExpertiseDimensional Modeling Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytics EngineeringData ModelingSQL OptimizationPython ProgrammingData TransformationAutomated TestingVersion ControlData ArchitectureIncremental ProcessingPerformance Tuning

Soft Skills

Effective CommunicationMentorshipProblem-SolvingCollaborationLeadership

Tools & Technologies

DbtDatabricksGitCI/CDDelta LakeSpark SQLWorkflowsUnity Catalog

Industry Keywords

AnalyticsData EngineeringBusiness IntelligenceMedallion ArchitectureLakehouse ModelsVeterinary ServicesSaaSFintechHealth Technology

Tech Stack

Tools & technologies

PythonSparkSQLUnity

About the role

Key responsibilities & impact

Own analytics engineering roadmap, priorities, standards, and operating practices
Design and evolve analytics architecture across bronze, silver, and gold data layers
Build, maintain, and optimize dbt models for curated, reusable, analytics-ready datasets
Write and optimize advanced SQL and use Python for transformation, validation, automation, and complex processing
Develop dimensional and business-oriented data models for dashboards, self-service analysis, operational reporting, and data products
Establish shared KPI definitions, calculation logic, data contracts, ownership, and authoritative sources
Implement automated tests, source freshness checks, documentation, lineage, and monitoring
Establish Git-based version control, code review, CI/CD, and controlled environment promotion
Partner with Data Engineering on ingestion, source schemas, platform performance, and data-layer handoffs
Partner with analysts, BI developers, and business stakeholders to create scalable models
Improve Databricks performance and cost efficiency through table design, incremental processing, query optimization, and compute management
Lead data-quality investigations, root-cause analysis, remediation, and communication
Strengthen data governance, access controls, sensitive-data handling, ownership, and stewardship
Migrate spreadsheet, dashboard, and ad hoc query logic into governed dbt models
Design resilient models supporting historical analysis, changing source systems, incremental loads, and evolving business definitions
Create technical documentation, modeling conventions, and enablement materials
Raise team capability through design reviews, reusable patterns, feedback, and hands-on mentorship

Requirements

What you’ll need

Bachelor’s degree or higher in computer science, data engineering, analytics, information systems, mathematics, or a related discipline, or equivalent professional experience
8+ years of relevant data and analytics experience, including senior-level ownership of production analytics data models and standards
Strong record of success leading complex analytics engineering, data engineering, business intelligence engineering, or closely related initiatives
Advanced SQL skills and experience designing, debugging, and optimizing complex transformations
Deep, hands-on dbt experience, including scalable model architecture, testing, incremental models, snapshots, documentation, macros, packages, and production deployment workflows
Strong Databricks experience, including Delta Lake, Spark SQL, Workflows or Jobs, Unity Catalog, and performance management/tuning
Experience operating medallion architectures and lakehouse data models across bronze, silver, and gold layers
Strong Python skills for data processing, testing, validation, automation, and engineering utilities
Strong understanding of dimensional modeling, warehouse and lakehouse design, semantic layers, slowly changing dimensions, and metric governance
Experience with Git, CI/CD, code review, automated testing, orchestration, and environment management
Ability to translate ambiguous business needs into clear technical designs and communicate effectively with senior leaders and non-technical stakeholders
Experience in animal health, veterinary services, pet insurance, SaaS, fintech, or health technology is a plus

Benefits

Comp & perks

Annual bonus eligibility
Comprehensive full medical, dental and vision Insurance
Basic Life Insurance at no cost to the employee
Company paid short-term and long-term disability
12 weeks of 100% paid Parental Leave
Health Savings Account (HSA)
Flexible Spending Accounts (FSA)
Retirement savings plan
Personal Paid Time Off
Paid holidays and company-wide Wellness Day off
Paid time off to volunteer at nonprofit organizations
Pet friendly office environment
Commuter Benefits
Group Pet Insurance
On the job training and skills development
Employee Assistance Program (EAP)