Senior Data Engineer – Data Platform, Martech Engineering

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Senior Data Engineer in MoneyLion's Data Platform & Martech Engineering team. Responsible for designing and building scalable data foundations for analytics and AI initiatives.

Posted 7/28/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $165,000 - $187,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing scalable data platforms and ETL/ELT frameworks, with a strong focus on dimensional data modeling using Kimball methodologies. Proven ability to collaborate cross-functionally and deliver data solutions that enhance analytics, marketing, and operational capabilities.

Highest-signal resume keywords

Data Platform DesignDimensional Data ModelingETL/ELT FrameworksMarketing Technology EcosystemsStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingKimball MethodologiesScalable Data ProductsAnalytical Data ModelsProduction SupportSchema EvolutionData GovernanceData Quality SLAsAI-Powered SolutionsTechnical Design Documentation

Soft Skills

Strong CommunicationCollaborationMentorship

Tools & Technologies

HightouchSegmentIterableAmplitude

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in EngineeringBachelor's Degree in Information SystemsBachelor's Degree in Mathematics

Industry Keywords

FintechFinancial ServicesAdtechRegulated Industries

Tech Stack

Tools & technologies

ETL

About the role

Key responsibilities & impact

Design, build, and optimize scalable batch and streaming data platforms, ETL/ELT frameworks, and AI-ready data pipelines supporting analytics, marketing, product, and operational use cases with strong focus on reliability, observability, scalability, and cost optimization.
Architect and maintain enterprise-grade data models and semantic layer architectures using Kimball dimensional modeling methodologies, including fact/dimension design, conformed dimensions, slowly changing dimensions (SCDs), star schemas, and governed business metrics.
Partner cross-functionally with Product, Martech, Analytics, Data Science, and Engineering teams to translate complex business processes into scalable data contracts, integration patterns, and trusted analytical models supporting attribution, audience intelligence, experimentation, personalization, and data activation.
Design and support Martech and customer data infrastructure, including platforms such as Hightouch, Segment, Iterable, Amplitude, and other activation technologies, enabling audience orchestration, customer journey automation, reverse ETL, and real-time marketing use cases.
Build and operationalize AI-powered solutions, intelligent agents, and data products that improve internal productivity, customer engagement, campaign optimization, and self-service access to data and insights.
Define and enforce platform standards for schema evolution, data lineage, governance, metric consistency, access controls, naming conventions, and data quality SLAs across the organization.
Improve operational excellence across the data ecosystem through monitoring, alerting, freshness validation, schema drift detection, incident response, root cause analysis, and production support, while leading technical design discussions, architecture reviews, mentorship, and adoption of AI-assisted engineering practices.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related technical field required.
5+ years of experience designing, building, and operating production-grade data platforms and distributed data systems.
Strong experience developing scalable data products, semantic layers, and analytical data models supporting enterprise reporting and activation use cases.
Demonstrated expertise in dimensional data modeling and Kimball methodologies, including fact and dimension modeling, conformed dimensions, SCDs, and metric governance.
Experience supporting customer data platforms, marketing technology ecosystems, or data activation platforms is highly preferred.
Proven ability to write technical design documents, evaluate architectural trade-offs, and deliver scalable engineering solutions.
Experience operating in fintech, financial services, adtech, or other highly regulated industries preferred.
Strong communication and stakeholder management skills with experience collaborating across engineering, analytics, product, and business teams.

Benefits

Comp & perks

flexible working options
time off
competitive pay
benefits
well-being programs