Associate Director, Analytics Engineering

inroads

. Design, implement, and maintain repeatable data quality testing methodologies and automated validation frameworks across client programs .

Posted 9/24/2026full-timeRemote • United StatesSenior💰 $125,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data quality testing methodologies, automated validation frameworks, and analytics engineering best practices. Proven ability to mentor technical teams and establish scalable engineering workflows and documentation standards.

Highest-signal resume keywords

Data Quality Testing MethodologiesAutomated Validation FrameworksData ModelingAnalytics Engineering Best PracticesMentoring Technical Team Members

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData Transformation FrameworksModern Warehouse ArchitecturesCode ReviewsData Pipeline Monitoring

Soft Skills

Excellent Communication SkillsCoachingMentorship

Industry Keywords

Analytics EngineeringDocumentation StandardsClient DeliveryEngineering WorkflowsCompliance

About the role

Key responsibilities & impact

Design, implement, and maintain repeatable data quality testing methodologies and automated validation frameworks across client programs
Partner with Engineering and Program leadership to stand up, scale, and mature the Analytics Engineering function
Define core processes, documentation standards, and delivery frameworks
Provide technical guidance, coaching, and mentorship to analytics engineering team members
Perform hands-on data work for critical projects and programs
Monitor data pipelines and warehouse architectures for accuracy, reliability, and compliance
Design, refine, and champion analytics engineering best practices and workflows
Conduct regular code reviews and enforce code maintainability, performance, and scalability best practices
Serve as the technical subject matter expert for Analytics Engineering for internal teams and external stakeholders
Perform other responsibilities and duties as assigned

Requirements

What you’ll need

8+ years in data or analytics engineering, with proven expertise in data modeling, transformation frameworks, and modern warehouse architectures (consulting or public sector experience a plus)
Experience coaching or mentoring technical team members, including conducting thorough code reviews and enforcing best practices
Proven track record of designing, implementing, and maintaining data quality testing methodologies and automated validation frameworks
Excellent communication skills, with a proven ability to translate complex technical concepts for non-technical audiences
Ability and willingness to jump into hands-on data work to support project execution and meet complex client deliverables
Strong background in establishing engineering workflows, documentation standards, and scalable practices to elevate client delivery

Benefits

Comp & perks

Premier health insurance plan
401K matching
Unlimited vacation leave
Paid sick, personal, and volunteer leave
13 paid holidays
15 weeks paid parental leave
Professional development stipend & tuition reimbursement
Employee Assistance Program (EAP)
Supportive & collaborative culture
Flexible working hours
Remote friendly (within the U.S.)